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Bourassa-Moreau B, Lebel R, Gilbert G, Mathieu D, Lepage M. Robust arterial input function surrogate measurement from the superior sagittal sinus complex signal for fast dynamic contrast-enhanced MRI in the brain. Magn Reson Med 2021; 86:3052-3066. [PMID: 34268824 DOI: 10.1002/mrm.28922] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2021] [Revised: 06/15/2021] [Accepted: 06/22/2021] [Indexed: 11/06/2022]
Abstract
PURPOSE Accurately estimating the arterial input function for dynamic contrast-enhanced MRI is challenging. An arterial input function is typically determined from signal magnitude changes related to a contrast agent, often leading to underestimation of peak concentrations. Alternatively, signal phase recovers the accurate peak concentration for straight vessels but suffers from high noise. A recent method proposed to fit the signal in the complex plane by combining the advantages of the previous 2 methods. The purpose of this work is to refine this complex-based method to determine the venous output function (VOF), an arterial input function surrogate, from the superior sagittal sinus. METHODS We propose a state-of-the-art complex-based method that includes direct compensation for blood inflow and signal phase correction accounting for the curvature of the superior sagittal sinus, generally assumed collinear with B0 . We compared the magnitude-, phase-, and complex-based VOF determination methods against various simulated biases as well as for 29 brain metastases patients. RESULTS Angulation of the superior sagittal sinus relative to B0 varied widely within patients, and its effect on the signal phase caused an underestimation of peak concentrations of up to 65%. Correction significantly increased the VOF peak concentration for the phase- and complex-based VOFs in the cohort. The phase-based method recovered accurate peak concentrations but lacked precision in the tail of the VOF. Our complex-based VOF completely recovered the effect of inflow and resulted in a high-peak concentration with limited noise. CONCLUSION The new complex-based method resulted in high-quality VOF robust against superior sagittal sinus curvature and variations in patient positioning.
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Affiliation(s)
- Benoît Bourassa-Moreau
- Centre d'imagerie moléculaire de Sherbrooke, Département de médecine nucléaire et radiobiologie, Université de Sherbrooke, Sherbrooke, Québec, Canada
| | - Réjean Lebel
- Centre d'imagerie moléculaire de Sherbrooke, Département de médecine nucléaire et radiobiologie, Université de Sherbrooke, Sherbrooke, Québec, Canada
| | - Guillaume Gilbert
- MR Clinical Science, Philips Healthcare Canada, Markham, Ontario, Canada
| | - David Mathieu
- Service de neurochirurgie, Département de chirurgie, Université de Sherbrooke, Sherbrooke, Québec, Canada.,Centre de recherche du Centre hospitalier universitaire de Sherbrooke, Centre intégré de santé et de services sociaux de l'Estrie, Sherbrooke, Québec, Canada
| | - Martin Lepage
- Centre d'imagerie moléculaire de Sherbrooke, Département de médecine nucléaire et radiobiologie, Université de Sherbrooke, Sherbrooke, Québec, Canada.,Centre de recherche du Centre hospitalier universitaire de Sherbrooke, Centre intégré de santé et de services sociaux de l'Estrie, Sherbrooke, Québec, Canada
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2
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Lind E, Knutsson L, Ståhlberg F, Wirestam R. Dynamic contrast-enhanced QSM for perfusion imaging: a systematic comparison of ΔR2*- and QSM-based contrast agent concentration time curves in blood and tissue. MAGMA (NEW YORK, N.Y.) 2020; 33:663-676. [PMID: 32078074 PMCID: PMC7502058 DOI: 10.1007/s10334-020-00831-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/13/2019] [Revised: 01/23/2020] [Accepted: 01/28/2020] [Indexed: 11/28/2022]
Abstract
OBJECTIVE In dynamic susceptibility contrast MRI (DSC-MRI), an arterial input function (AIF) is required to quantify perfusion. However, estimation of the concentration of contrast agent (CA) from magnitude MRI signal data is challenging. A reasonable alternative would be to quantify CA concentration using quantitative susceptibility mapping (QSM), as the CA alters the magnetic susceptibility in proportion to its concentration. MATERIAL AND METHODS AIFs with reasonable appearance, selected on the basis of conventional criteria related to timing, shape, and peak concentration, were registered from both ΔR2* and QSM images and mutually compared by visual inspection. Both ΔR2*- and QSM-based AIFs were used for perfusion calculations based on tissue concentration data from ΔR2*as well as QSM images. RESULTS AIFs based on ΔR2* and QSM data showed very similar shapes and the estimated cerebral blood flow values and mean transit times were similar. Analysis of corresponding ΔR2* versus QSM-based concentration estimates yielded a transverse relaxivity estimate of 89 s-1 mM-1, for voxels identified as useful AIF candidate in ΔR2* images according to the conventional criteria. DISCUSSION Interestingly, arterial concentration time curves based on ΔR2* versus QSM data, for a standard DSC-MRI experiment, were generally very similar in shape, and the relaxivity obtained in voxels representing blood was similar to tissue relaxivity obtained in previous studies.
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Affiliation(s)
- Emelie Lind
- Department of Medical Radiation Physics, Lund University, Barngatan 4, 22185, Lund, Sweden.
| | - Linda Knutsson
- Department of Medical Radiation Physics, Lund University, Barngatan 4, 22185, Lund, Sweden.,Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Freddy Ståhlberg
- Department of Medical Radiation Physics, Lund University, Barngatan 4, 22185, Lund, Sweden.,Department of Clinical Sciences Lund, Diagnostic Radiology, Lund, Sweden.,Lund University Bioimaging Center, Lund University, Lund, Sweden
| | - Ronnie Wirestam
- Department of Medical Radiation Physics, Lund University, Barngatan 4, 22185, Lund, Sweden
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3
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Foltz W, Driscoll B, Laurence Lee S, Nayak K, Nallapareddy N, Fatemi A, Ménard C, Coolens C, Chung C. Phantom Validation of DCE-MRI Magnitude and Phase-Based Vascular Input Function Measurements. ACTA ACUST UNITED AC 2020; 5:77-89. [PMID: 30854445 PMCID: PMC6403037 DOI: 10.18383/j.tom.2019.00001] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
Accurate, patient-specific measurement of arterial input functions (AIF) may improve model-based analysis of vascular permeability. This study investigated factors affecting AIF measurements from magnetic resonance imaging (MRI) magnitude (AIFMAGN) and phase (AIFPHA) signals, and compared them against computed tomography (CT) (AIFCT), under controlled conditions relevant to clinical protocols using a multimodality flow phantom. The flow phantom was applied at flip angles of 20° and 30°, flow rates (3-7.5 mL/s), and peak bolus concentrations (0.5-10 mM), for in-plane and through-plane flow. Spatial 3D-FLASH signal and variable flip angle T1 profiles were measured to investigate in-flow and radiofrequency-related biases, and magnitude- and phase-derived Gd-DTPA concentrations were compared. MRI AIF performance was tested against AIFCT via Pearson correlation analysis. AIFMAGN was sensitive to imaging orientation, spatial location, flip angle, and flow rate, and it grossly underestimated AIFCT peak concentrations. Conversion to Gd-DTPA concentration using T1 taken at the same orientation and flow rate as the dynamic contrast-enhanced acquisition improved AIFMAGN accuracy; yet, AIFMAGN metrics remained variable and significantly reduced from AIFCT at concentrations above 2.5 mM. AIFPHA performed equivalently within 1 mM to AIFCT across all tested conditions. AIFPHA, but not AIFMAGN, reported equivalent measurements to AIFCT across the range of tested conditions. AIFPHA showed superior robustness.
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Affiliation(s)
- Warren Foltz
- Department of Medical Physics, Princess Margaret Cancer Center and University Health Network, Toronto, ON, Canada.,Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada
| | - Brandon Driscoll
- Department of Medical Physics, Princess Margaret Cancer Center and University Health Network, Toronto, ON, Canada
| | | | - Krishna Nayak
- Ming Hsieh Department of Electrical Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA
| | - Naren Nallapareddy
- Ming Hsieh Department of Electrical Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA
| | - Ali Fatemi
- Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada
| | - Cynthia Ménard
- Department of Radiation Oncology, Centre Hospitalier Universite de Montreal, Montreal, Canada.,Department of Biomaterials and Biomedical Engineering, University of Toronto, Toronto, ON, Canada; and
| | - Catherine Coolens
- Department of Medical Physics, Princess Margaret Cancer Center and University Health Network, Toronto, ON, Canada.,Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada.,Department of Radiation Oncology, Centre Hospitalier Universite de Montreal, Montreal, Canada.,Department of Biomaterials and Biomedical Engineering, University of Toronto, Toronto, ON, Canada; and
| | - Caroline Chung
- TECHNA Institute, University Health Network, Toronto, ON, Canada.,Department of Radiation Oncology, MD Anderson Cancer Center, Houston, TX
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Wáng YXJ, Wang X, Wu P, Wang Y, Chen W, Chen H, Li J. Topics on quantitative liver magnetic resonance imaging. Quant Imaging Med Surg 2019; 9:1840-1890. [PMID: 31867237 DOI: 10.21037/qims.2019.09.18] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Liver magnetic resonance imaging (MRI) is subject to continuous technical innovations through advances in hardware, sequence and novel contrast agent development. In order to utilize the abilities of liver MR to its full extent and perform high-quality efficient exams, it is mandatory to use the best imaging protocol, to minimize artifacts and to select the most adequate type of contrast agent. In this article, we review the routine clinical MR techniques applied currently and some latest developments of liver imaging techniques to help radiologists and technologists to better understand how to choose and optimize liver MRI protocols that can be used in clinical practice. This article covers topics on (I) fat signal suppression; (II) diffusion weighted imaging (DWI) and intravoxel incoherent motion (IVIM) analysis; (III) dynamic contrast-enhanced (DCE) MR imaging; (IV) liver fat quantification; (V) liver iron quantification; and (VI) scan speed acceleration.
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Affiliation(s)
- Yì Xiáng J Wáng
- Department of Imaging and Interventional Radiology, Faculty of Medicine, The Chinese University of Hong Kong, New Territories, Hong Kong SAR, China
| | | | - Peng Wu
- Philips Healthcare (Suzhou) Co., Ltd., Suzhou 215024, China
| | - Yajie Wang
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, China
| | - Weibo Chen
- Philips Healthcare, Shanghai 200072, China.,Shanghai Key Laboratory of Magnetic Resonance, School of Physics and Electronic Science, East China Normal University, Shanghai 200062, China
| | - Huijun Chen
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, China
| | - Jianqi Li
- Shanghai Key Laboratory of Magnetic Resonance, School of Physics and Electronic Science, East China Normal University, Shanghai 200062, China
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5
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Ahmed Z, Levesque IR. Pharmacokinetic modeling of dynamic contrast-enhanced MRI using a reference region and input function tail. Magn Reson Med 2019; 83:286-298. [PMID: 31393033 DOI: 10.1002/mrm.27913] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2019] [Revised: 06/18/2019] [Accepted: 06/18/2019] [Indexed: 12/20/2022]
Abstract
PURPOSE Quantitative analysis of dynamic contrast-enhanced MRI (DCE-MRI) requires an arterial input function (AIF) which is difficult to measure. We propose the reference region and input function tail (RRIFT) approach which uses a reference tissue and the washout portion of the AIF. METHODS RRIFT was evaluated in simulations with 100 parameter combinations at various temporal resolutions (5-30 s) and noise levels (σ = 0.01-0.05 mM). RRIFT was compared against the extended Tofts model (ETM) in 8 studies from patients with glioblastoma multiforme. Two versions of RRIFT were evaluated: one using measured patient-specific AIF tails, and another assuming a literature-based AIF tail. RESULTS RRIFT estimated the transfer constant K trans and interstitial volume v e with median errors within 20% across all simulations. RRIFT was more accurate and precise than the ETM at temporal resolutions slower than 10 s. The percentage error of K trans had a median and interquartile range of -9 ± 45% with the ETM and -2 ± 17% with RRIFT at a temporal resolution of 30 s under noiseless conditions. RRIFT was in excellent agreement with the ETM in vivo, with concordance correlation coefficients (CCC) of 0.95 for K trans , 0.96 for v e , and 0.73 for the plasma volume v p using a measured AIF tail. With the literature-based AIF tail, the CCC was 0.89 for K trans , 0.93 for v e and 0.78 for v p . CONCLUSIONS Quantitative DCE-MRI analysis using the input function tail and a reference tissue yields absolute kinetic parameters with the RRIFT method. This approach was viable in simulation and in vivo for temporal resolutions as low as 30 s.
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Affiliation(s)
- Zaki Ahmed
- Medical Physics Unit, McGill University, Montreal, Canada.,Department of Physics, McGill University, Montreal, Canada
| | - Ives R Levesque
- Medical Physics Unit, McGill University, Montreal, Canada.,Department of Physics, McGill University, Montreal, Canada.,Gerald Bronfman Department of Oncology, McGill University, Montreal, Canada.,Cancer Research Program, Research Institute of the McGill University Health Centre, Montreal, Canada
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6
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Klawer EME, van Houdt PJ, Simonis FFJ, van den Berg CAT, Pos FJ, Heijmink SWTPJ, Isebaert S, Haustermans K, van der Heide UA. Improved repeatability of dynamic contrast-enhanced MRI using the complex MRI signal to derive arterial input functions: a test-retest study in prostate cancer patients. Magn Reson Med 2019; 81:3358-3369. [PMID: 30656738 PMCID: PMC6590420 DOI: 10.1002/mrm.27646] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2018] [Revised: 11/07/2018] [Accepted: 12/04/2018] [Indexed: 12/31/2022]
Abstract
Purpose The arterial input function (AIF) is a major source of uncertainty in tracer kinetic (TK) analysis of dynamic contrast‐enhanced (DCE)‐MRI data. The aim of this study was to investigate the repeatability of AIFs extracted from the complex signal and of the resulting TK parameters in prostate cancer patients. Methods Twenty‐two patients with biopsy‐proven prostate cancer underwent a 3T MRI exam twice. DCE‐MRI data were acquired with a 3D spoiled gradient echo sequence. AIFs were extracted from the magnitude of the signal (AIFMAGN), phase (AIFPHASE), and complex signal (AIFCOMPLEX). The Tofts model was applied to extract Ktrans, kep and ve. Repeatability of AIF curve characteristics and TK parameters was assessed with the within‐subject coefficient of variation (wCV). Results The wCV for peak height and full width at half maximum for AIFCOMPLEX (7% and 8%) indicated an improved repeatability compared to AIFMAGN (12% and 12%) and AIFPHASE (12% and 7%). This translated in lower wCV values for Ktrans (11%) with AIFCOMPLEX in comparison to AIFMAGN (24%) and AIFPHASE (15%). For kep, the wCV was 16% with AIFMAGN, 13% with AIFPHASE, and 13% with AIFCOMPLEX. Conclusion Repeatability of AIFPHASE and AIFCOMPLEX is higher than for AIFMAGN, resulting in a better repeatability of TK parameters. Thus, use of either AIFPHASE or AIFCOMPLEX improves the robustness of quantitative analysis of DCE‐MRI in prostate cancer.
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Affiliation(s)
- Edzo M E Klawer
- Department of Radiation Oncology, the Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Petra J van Houdt
- Department of Radiation Oncology, the Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Frank F J Simonis
- Department of Radiation Oncology, Imaging Division, University Medical Center, Utrecht, The Netherlands
| | - Cornelis A T van den Berg
- Department of Radiation Oncology, Imaging Division, University Medical Center, Utrecht, The Netherlands
| | - Floris J Pos
- Department of Radiation Oncology, the Netherlands Cancer Institute, Amsterdam, The Netherlands
| | | | - Sofie Isebaert
- Department of Radiation Oncology, Leuven Cancer Institute, University Hospitals Leuven, Leuven, Belgium
| | - Karin Haustermans
- Department of Radiation Oncology, Leuven Cancer Institute, University Hospitals Leuven, Leuven, Belgium
| | - Uulke A van der Heide
- Department of Radiation Oncology, the Netherlands Cancer Institute, Amsterdam, The Netherlands
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Abstract
Dynamic contrast-enhanced MRI in pre-clinical imaging allows the in-vivo monitoring of vascular, physiological properties in normal and diseased tissue. There is considerable variation in the methods employed owing to the different questions that can be asked and answered about the physiologic alterations as well as morphologic changes in tissue. Here we review the typical decisions in the design and execution of a dynamic contrast-enhanced MRI study in mice although the findings can easily be transferred to other species. Emphasis is placed on highlighting the many pitfalls that wait for the unaware pre-clinical MRI practitioner and that go often unmentioned in the abundant literature dealing with dynamic contrast-enhanced MRI in animal models.
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8
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Klawer EM, van Houdt PJ, Pos FJ, Heijmink SW, van Osch MJ, van der Heide UA. Impact of contrast agent injection duration on dynamic contrast-enhanced MRI quantification in prostate cancer. NMR IN BIOMEDICINE 2018; 31:e3946. [PMID: 29974981 PMCID: PMC6175355 DOI: 10.1002/nbm.3946] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/30/2017] [Revised: 04/12/2018] [Accepted: 04/24/2018] [Indexed: 06/08/2023]
Abstract
The volume transfer constant Ktrans , which describes the leakage of contrast agent (CA) from vasculature into tissue, is the most commonly reported quantitative parameter for dynamic contrast-enhanced (DCE-) MRI. However, the variation in reported Ktrans values between studies from different institutes is large. One of the primary sources of uncertainty is quantification of the arterial input function (AIF). The aim of this study is to determine the influence of the CA injection duration on the AIF and tracer kinetic analysis (TKA) parameters (i.e. Ktrans , kep and ve ). Thirty-one patients with prostate cancer received two DCE-MRI examinations with an injection duration of 5 s in the first examination and a prolonged injection duration in the second examination, varying between 7.5 s and 30 s. The DCE examination was carried out on a 3.0 T MRI scanner using a transversal T1 -weighted 3D spoiled gradient echo sequence (300 s duration, dynamic scan time of 2.5 s). Data of 29 of the 31 were further analysed. AIFs were determined from the phase signal in the left and right femoral arteries. Ktrans , kep and ve were estimated with the standard Tofts model for regions of healthy peripheral zone and tumour tissue. We observed a significantly smaller peak height and increased width in the AIF for injection durations of 15 s and longer. However, we did not find significant differences in Ktrans , kep or ve for the studied injection durations. The study demonstrates that the TKA parameters Ktrans , kep and ve , measured in the prostate, do not show a significant change as a function of injection duration.
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Affiliation(s)
- Edzo M.E. Klawer
- Department of Radiation OncologyThe Netherlands Cancer InstituteAmsterdamThe Netherlands
| | - Petra J. van Houdt
- Department of Radiation OncologyThe Netherlands Cancer InstituteAmsterdamThe Netherlands
| | - Floris J. Pos
- Department of Radiation OncologyThe Netherlands Cancer InstituteAmsterdamThe Netherlands
| | | | | | - Uulke A. van der Heide
- Department of Radiation OncologyThe Netherlands Cancer InstituteAmsterdamThe Netherlands
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9
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van Schie JJN, Lavini C, van Vliet LJ, Kramer G, Pieters-van den Bos I, Marcus JT, Stoker J, Vos FM. Estimating the arterial input function from dynamic contrast-enhanced MRI data with compensation for flow enhancement (II): Applications in spine diagnostics and assessment of crohn's disease. J Magn Reson Imaging 2017; 47:1197-1204. [PMID: 29193469 DOI: 10.1002/jmri.25905] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2017] [Accepted: 10/16/2017] [Indexed: 11/06/2022] Open
Abstract
BACKGROUND Pharmacokinetic (PK) models can describe microvascular density and integrity. An essential component of PK models is the arterial input function (AIF) representing the time-dependent concentration of contrast agent (CA) in the blood plasma supplied to a tissue. PURPOSE/HYPOTHESIS To evaluate a novel method for subject-specific AIF estimation that takes inflow effects into account. STUDY TYPE Retrospective study. SUBJECTS Thirteen clinical patients referred for spine-related complaints; 21 patients from a study into luminal Crohn's disease with known Crohn's Disease Endoscopic Index of Severity (CDEIS). FIELD STRENGTH/SEQUENCE Dynamic fast spoiled gradient echo (FSPGR) at 3T. ASSESSMENT A population-averaged AIF, AIFs derived from distally placed regions of interest (ROIs), and the new AIF method were applied. Tofts' PK model parameters (including vp and Ktrans ) obtained with the three AIFs were compared. In the Crohn's patients Ktrans was correlated to CDEIS. STATISTICAL TESTS The median values of the PK model parameters from the three methods were compared using a Mann-Whitney U-test. The associated variances were statistically assessed by the Brown-Forsythe test. Spearman's rank correlation coefficient was computed to test the correlation of Ktrans to CDEIS. RESULTS The median vp was significantly larger when using the distal ROI approach, compared to the two other methods (P < 0.05 for both comparisons, in both applications). Also, the variances in vp were significantly larger with the ROI approach (P < 0.05 for all comparisons). In the Crohn's disease study, the estimated Ktrans parameter correlated better with the CDEIS (r = 0.733, P < 0.001) when the proposed AIF was used, compared to AIFs from the distal ROI method (r = 0.429, P = 0.067) or the population-averaged AIF (r = 0.567, P = 0.011). DATA CONCLUSION The proposed method yielded realistic PK model parameters and improved the correlation of the Ktrans parameter with CDEIS, compared to existing approaches. LEVEL OF EVIDENCE 3 Technical Efficacy Stage 1 J. Magn. Reson. Imaging 2018;47:1197-1204.
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Affiliation(s)
- Jeroen J N van Schie
- Quantitative Imaging Group, Department of Imaging Physics, Delft University of Technology, Delft, The Netherlands
| | - Cristina Lavini
- Department of Radiology and Nuclear Medicine, Academic Medical Center, Amsterdam, The Netherlands
| | - Lucas J van Vliet
- Quantitative Imaging Group, Department of Imaging Physics, Delft University of Technology, Delft, The Netherlands
| | - Gem Kramer
- Department of Radiology and Nuclear Medicine, VU University Medical Center, Amsterdam, The Netherlands
| | - Indra Pieters-van den Bos
- Department of Radiology and Nuclear Medicine, VU University Medical Center, Amsterdam, The Netherlands
| | - J T Marcus
- Department of Radiology and Nuclear Medicine, VU University Medical Center, Amsterdam, The Netherlands
| | - Jaap Stoker
- Department of Radiology and Nuclear Medicine, Academic Medical Center, Amsterdam, The Netherlands
| | - Frans M Vos
- Quantitative Imaging Group, Department of Imaging Physics, Delft University of Technology, Delft, The Netherlands.,Department of Radiology and Nuclear Medicine, Academic Medical Center, Amsterdam, The Netherlands
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10
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Ning J, Schubert T, Johnson KM, Roldán-Alzate A, Chen H, Yuan C, Reeder SB. Vascular input function correction of inflow enhancement for improved pharmacokinetic modeling of liver DCE-MRI. Magn Reson Med 2017; 79:3093-3102. [PMID: 29124781 DOI: 10.1002/mrm.26988] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2017] [Revised: 10/08/2017] [Accepted: 10/09/2017] [Indexed: 01/09/2023]
Abstract
PURPOSE To propose a simple method to correct vascular input function (VIF) due to inflow effects and to test whether the proposed method can provide more accurate VIFs for improved pharmacokinetic modeling. METHODS A spoiled gradient echo sequence-based inflow quantification and contrast agent concentration correction method was proposed. Simulations were conducted to illustrate improvement in the accuracy of VIF estimation and pharmacokinetic fitting. Animal studies with dynamic contrast-enhanced MR scans were conducted before, 1 week after, and 2 weeks after portal vein embolization (PVE) was performed in the left portal circulation of pigs. The proposed method was applied to correct the VIFs for model fitting. Pharmacokinetic parameters fitted using corrected and uncorrected VIFs were compared between different lobes and visits. RESULTS Simulation results demonstrated that the proposed method can improve accuracy of VIF estimation and pharmacokinetic fitting. In animal study results, pharmacokinetic fitting using corrected VIFs demonstrated changes in perfusion consistent with changes expected after PVE, whereas the perfusion estimates derived by uncorrected VIFs showed no significant changes. CONCLUSION The proposed correction method improves accuracy of VIFs and therefore provides more precise pharmacokinetic fitting. This method may be promising in improving the reliability of perfusion quantification. Magn Reson Med 79:3093-3102, 2018. © 2017 International Society for Magnetic Resonance in Medicine.
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Affiliation(s)
- Jia Ning
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, People's Republic of China.,Department of Radiology, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Tilman Schubert
- Department of Radiology, University of Wisconsin-Madison, Madison, Wisconsin, USA.,Clinic for Radiology and Nuclear Medicine, Basel University Hospital, Basel, Switzerland
| | - Kevin M Johnson
- Department of Medical Physics, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | | | - Huijun Chen
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, People's Republic of China
| | - Chun Yuan
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, People's Republic of China.,Department of Radiology, University of Washington, Seattle, Washington, USA
| | - Scott B Reeder
- Department of Radiology, University of Wisconsin-Madison, Madison, Wisconsin, USA.,Department of Medical Physics, University of Wisconsin-Madison, Madison, Wisconsin, USA.,Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, Wisconsin, USA.,Department of Medicine, University of Wisconsin-Madison, Madison, Wisconsin, USA.,Department of Emergency Medicine, University of Wisconsin-Madison, Madison, Wisconsin, USA
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11
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Assessment of MRI contrast agent concentration by quantitative susceptibility mapping (QSM): application to estimation of cerebral blood volume during steady state. MAGNETIC RESONANCE MATERIALS IN PHYSICS BIOLOGY AND MEDICINE 2017. [PMID: 28631203 PMCID: PMC5701959 DOI: 10.1007/s10334-017-0637-9] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
Objective One major issue in dynamic susceptibility contrast MRI (DSC-MRI) is to accurately determine contrast agent (CA) concentration, since T2* relaxivity in vivo is generally unknown and varies between blood and tissue. In this study, quantitative susceptibility mapping (QSM) was used for quantification of CA concentration. Materials and methods A DSC-MRI protocol, including phase data acquisition, was applied to 20 healthy volunteers in a test–retest study. By selecting a CSF reference region of interest (ROI), the values of all QSM images were shifted to show no CA-induced change in CSF. CA concentration and cerebral blood volume (CBV) were estimated using shifted QSM data. CSF reference ROI optimization was evaluated by investigation of CBV repeatability. The CBV age dependence was analysed and tissue T2* relaxivity was estimated. Results The best repeatability of CBV, using an optimal CSF reference ROI, showed test-versus-retest correlations of r = 0.81 and r = 0.91 for white and grey matter, respectively. A slight CBV decrease with age was observed, and the estimated in vivo T2* relaxivity was 85 mM−1s−1. Conclusion Provided that a carefully selected CSF reference ROI is used to shift QSM image values, susceptibility information can be used to estimate concentration of contrast agent and to calculate CBV. Electronic supplementary material The online version of this article (doi:10.1007/s10334-017-0637-9) contains supplementary material, which is available to authorized users.
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12
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van Hoof RHM, Heeneman S, Wildberger JE, Kooi ME. Dynamic Contrast-Enhanced MRI to Study Atherosclerotic Plaque Microvasculature. Curr Atheroscler Rep 2016; 18:33. [PMID: 27115144 PMCID: PMC4846686 DOI: 10.1007/s11883-016-0583-4] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
Rupture of a vulnerable atherosclerotic plaque of the carotid artery is an important underlying cause of clinical ischemic events, such as stroke. Abundant microvasculature has been identified as an important aspect contributing to plaque vulnerability. Plaque microvasculature can be studied non-invasively with dynamic contrast-enhanced (DCE-)MRI in animals and patients. In recent years, several DCE-MRI studies have been published evaluating the association between microvasculature and other key features of plaque vulnerability (e.g., inflammation and intraplaque hemorrhage), as well as the effects of novel therapeutic interventions. The present paper reviews this literature, focusing on DCE-MRI methods of acquisition and analysis of atherosclerotic plaques, the current state and future potential of DCE-MRI in the evaluation of plaque microvasculature in clinical and preclinical settings.
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Affiliation(s)
- Raf H. M. van Hoof
- />Department of Radiology, Maastricht University Medical Center (MUMC), P.O. Box 5800, 6202 AZ Maastricht, The Netherlands
- />CARIM School for Cardiovascular Diseases, Maastricht University, P.O. Box 616, Maastricht, 6200 MD The Netherlands
| | - Sylvia Heeneman
- />CARIM School for Cardiovascular Diseases, Maastricht University, P.O. Box 616, Maastricht, 6200 MD The Netherlands
- />Department of Pathology, Maastricht University Medical Center (MUMC), P.O. Box 5800, Maastricht, 6202 AZ The Netherlands
| | - Joachim E. Wildberger
- />Department of Radiology, Maastricht University Medical Center (MUMC), P.O. Box 5800, 6202 AZ Maastricht, The Netherlands
- />CARIM School for Cardiovascular Diseases, Maastricht University, P.O. Box 616, Maastricht, 6200 MD The Netherlands
| | - M. Eline Kooi
- />Department of Radiology, Maastricht University Medical Center (MUMC), P.O. Box 5800, 6202 AZ Maastricht, The Netherlands
- />CARIM School for Cardiovascular Diseases, Maastricht University, P.O. Box 616, Maastricht, 6200 MD The Netherlands
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13
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Wirestam R, Lind E, Ahlgren A, Ståhlberg F, Knutsson L. Dynamic susceptibility contrast perfusion MRI using phase-based venous output functions: comparison with pseudo-continuous arterial spin labelling and assessment of contrast agent concentration in large veins. MAGNETIC RESONANCE MATERIALS IN PHYSICS BIOLOGY AND MEDICINE 2016; 29:823-831. [PMID: 27295051 DOI: 10.1007/s10334-016-0567-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/12/2016] [Revised: 05/16/2016] [Accepted: 05/18/2016] [Indexed: 10/21/2022]
Abstract
OBJECTIVES Contrast agent (CA) relaxivities are generally not well established in vivo, and the relationship between frequency/phase shift and magnetic susceptibility might be a useful alternative for CA quantification. MATERIALS AND METHODS Twenty volunteers (25-84 years old) were investigated using test-retest pre-bolus dynamic susceptibility-contrast (DSC) magnetic resonance imaging (MRI). The pre-bolus phase-based venous output function (VOF) time integral was used for arterial input function (AIF) rescaling. Resulting cerebral blood flow (CBF) data for grey matter (GM) were compared with pseudo-continuous arterial spin labelling (ASL). During the main bolus CA passage, the apparent spatial shift (pixel shift) of the superior sagittal sinus (seen in single-shot echo-planar imaging (EPI)) was converted to CA concentration and compared with conventional ΔR2*-based data and with a predicted phase-based VOF from the pre-bolus experiment. RESULTS The phase-based pre-bolus VOF resulted in a reasonable inter-individual GM CBF variability (coefficient of variation 28 %). Comparison with ASL CBF values implied a tissue R2*-relaxivity of 32 mM-1 s-1. Pixel-shift data at low concentrations (data not available at peak concentrations) were in reasonable agreement with the predicted phase-based VOF. CONCLUSION Susceptibility-induced phase shifts and pixel shifts are potentially useful for large-vein CA quantification. Previous predictions of a higher R2*-relaxivity in tissue than in blood were supported.
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Affiliation(s)
- Ronnie Wirestam
- Department of Medical Radiation Physics, University Hospital, Lund University, SE-22185, Lund, Sweden.
| | - Emelie Lind
- Department of Medical Radiation Physics, University Hospital, Lund University, SE-22185, Lund, Sweden
| | - André Ahlgren
- Department of Medical Radiation Physics, University Hospital, Lund University, SE-22185, Lund, Sweden
| | - Freddy Ståhlberg
- Department of Medical Radiation Physics, University Hospital, Lund University, SE-22185, Lund, Sweden.,Department of Diagnostic Radiology, University Hospital, Lund University, SE-22185, Lund, Sweden
| | - Linda Knutsson
- Department of Medical Radiation Physics, University Hospital, Lund University, SE-22185, Lund, Sweden
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14
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van Hoof RHM, Hermeling E, Truijman MTB, van Oostenbrugge RJ, Daemen JWH, van der Geest RJ, van Orshoven NP, Schreuder AH, Backes WH, Daemen MJAP, Wildberger JE, Kooi ME. Phase-based vascular input function: Improved quantitative DCE-MRI of atherosclerotic plaques. Med Phys 2016; 42:4619-28. [PMID: 26233189 DOI: 10.1118/1.4924949] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
PURPOSE Quantitative pharmacokinetic modeling of dynamic contrast-enhanced (DCE)-MRI can be used to assess atherosclerotic plaque microvasculature, which is an important marker of plaque vulnerability. Purpose of the present study was (1) to compare magnitude- versus phase-based vascular input functions (m-VIF vs ph-VIF) used in pharmacokinetic modeling and (2) to perform model calculations and flow phantom experiments to gain more insight into the differences between m-VIF and ph-VIF. METHODS Population averaged m-VIF and ph-VIFs were acquired from 11 patients with carotid plaques and used for pharmacokinetic analysis in another 17 patients. Simulations, using the Bloch equations and the MRI scan geometry, and flow phantom experiments were performed to determine the effect of local blood velocity on the magnitude and phase signal enhancement. RESULTS Simulations and flow phantom experiments revealed that flow within the lumen can lead to severe underestimation of m-VIF, while this is not the case for the ph-VIF. In line, the peak concentration of the m-VIF is significantly lower than ph-VIF (p < 0.001), in vivo. Quantitative model parameters for m- and ph-VIF differed in absolute values but were moderate to strongly correlated with each other [K(trans) Spearman's ρ > 0.93 (p < 0.001) and vp Spearman's ρ > 0.58 (p < 0.05)]. CONCLUSIONS m-VIF is strongly influenced by local blood velocity, which leads to underestimation of the contrast medium concentration. Therefore, it is advised to use ph-VIF for DCE-MRI analysis of carotid plaques for accurate quantification.
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Affiliation(s)
- R H M van Hoof
- Department of Radiology, Maastricht University Medical Center, Maastricht 6202 AZ, The Netherlands and CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht 6200 MD, The Netherlands
| | - E Hermeling
- Department of Radiology, Maastricht University Medical Center, Maastricht 6202 AZ, The Netherlands and CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht 6200 MD, The Netherlands
| | - M T B Truijman
- Department of Radiology, Maastricht University Medical Center, Maastricht 6202 AZ, The Netherlands; CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht 6200 MD, The Netherlands; and Department of Clinical Neurophysiology, Maastricht University Medical Center, Maastricht 6202 AZ, The Netherlands
| | - R J van Oostenbrugge
- Department of Neurology, Maastricht University Medical Center, Maastricht 6202 AZ, The Netherlands and CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht 6200 MD, The Netherlands
| | - J W H Daemen
- Department of Surgery, Maastricht University Medical Center, Maastricht 6202 AZ, The Netherlands
| | - R J van der Geest
- Department of Radiology, Leiden University Medical Center, Leiden 2333 ZA, The Netherlands
| | - N P van Orshoven
- Department of Neurology, Orbis Medical Center, Sittard 6130 MB, The Netherlands
| | - A H Schreuder
- Department of Neurology, Atrium Medical Center, Heerlen 6401 CX, The Netherlands
| | - W H Backes
- Department of Radiology, Maastricht University Medical Center, Maastricht 6202 AZ, The Netherlands
| | - M J A P Daemen
- Department of Pathology, Academic Medical Center, Amsterdam 1100 DD, The Netherlands
| | - J E Wildberger
- Department of Radiology, Maastricht University Medical Center, Maastricht 6202 AZ, The Netherlands and CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht 6200 MD, The Netherlands
| | - M E Kooi
- Department of Radiology, Maastricht University Medical Center, Maastricht 6202 AZ, The Netherlands and CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht 6200 MD, The Netherlands
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15
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Fruytier AC, Magat J, Colliez F, Jordan B, Cron G, Gallez B. Dynamic contrast-enhanced MRI in mice at high field: estimation of the arterial input function can be achieved by phase imaging. Magn Reson Med 2016; 71:544-50. [PMID: 23440927 DOI: 10.1002/mrm.24682] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Abstract
PURPOSE Quantitative dynamic contrast-enhanced MRI requires an accurate arterial input function (AIF). At high field, increased susceptibility effects and decreased longitudinal relaxivity of contrast agents lead to predominant T2* effects in blood vessels, producing a dip in signal during passage of the contrast agent bolus. This study determined phase-derived AIFs in mice at 11.7 T. METHODS AIFs were measured in aorta/vena cava for five FBV/N mice and in iliac arteries/veins for five NMRI mice with a fast low angle shot sequence, simultaneously with tumor imaging (temporal resolution: 1.19 s). Gadoterate was injected into the tail vein as a bolus (0.286 mmol Gd/kg). An in vitro study was also performed to calculate the relationship between ΔΦ and gadolinium concentration. RESULTS The phantom system confirmed the linear relationship between measured ΔΦ and gadolinium concentration. In vivo, a dip in arterial magnitude signal made it impossible to quantify the AIF. With phase imaging, a clear quantifiable bolus peak was obtained; peak measured concentration in plasma was 4.9 ± 0.9 mM for FBV/N mice and 8.0 ± 0.6 mM for NMRI mice, close to the expected concentration of 6.8 mM. CONCLUSION Phase imaging seems to be an appropriate means to measure the AIF of mice at high field.
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Affiliation(s)
- A-C Fruytier
- Biomedical Magnetic Resonance Group, Louvain Drug Research Institute, Université Catholique de Louvain, Brussels, Belgium
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16
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Nguyen TB, Cron GO, Perdrizet K, Bezzina K, Torres CH, Chakraborty S, Woulfe J, Jansen GH, Sinclair J, Thornhill RE, Foottit C, Zanette B, Cameron IG. Comparison of the Diagnostic Accuracy of DSC- and Dynamic Contrast-Enhanced MRI in the Preoperative Grading of Astrocytomas. AJNR Am J Neuroradiol 2015; 36:2017-22. [PMID: 26228886 DOI: 10.3174/ajnr.a4398] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2014] [Accepted: 03/24/2015] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE Dynamic contrast-enhanced MR imaging parameters can be biased by poor measurement of the vascular input function. We have compared the diagnostic accuracy of dynamic contrast-enhanced MR imaging by using a phase-derived vascular input function and "bookend" T1 measurements with DSC MR imaging for preoperative grading of astrocytomas. MATERIALS AND METHODS This prospective study included 48 patients with a new pathologic diagnosis of an astrocytoma. Preoperative MR imaging was performed at 3T, which included 2 injections of 5-mL gadobutrol for dynamic contrast-enhanced and DSC MR imaging. During dynamic contrast-enhanced MR imaging, both magnitude and phase images were acquired to estimate plasma volume obtained from phase-derived vascular input function (Vp_Φ) and volume transfer constant obtained from phase-derived vascular input function (K(trans)_Φ) as well as plasma volume obtained from magnitude-derived vascular input function (Vp_SI) and volume transfer constant obtained from magnitude-derived vascular input function (K(trans)_SI). From DSC MR imaging, corrected relative CBV was computed. Four ROIs were placed over the solid part of the tumor, and the highest value among the ROIs was recorded. A Mann-Whitney U test was used to test for difference between grades. Diagnostic accuracy was assessed by using receiver operating characteristic analysis. RESULTS Vp_ Φ and K(trans)_Φ values were lower for grade II compared with grade III astrocytomas (P < .05). Vp_SI and K(trans)_SI were not significantly different between grade II and grade III astrocytomas (P = .08-0.15). Relative CBV and dynamic contrast-enhanced MR imaging parameters except for K(trans)_SI were lower for grade III compared with grade IV (P ≤ .05). In differentiating low- and high-grade astrocytomas, we found no statistically significant difference in diagnostic accuracy between relative CBV and dynamic contrast-enhanced MR imaging parameters. CONCLUSIONS In the preoperative grading of astrocytomas, the diagnostic accuracy of dynamic contrast-enhanced MR imaging parameters is similar to that of relative CBV.
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Affiliation(s)
- T B Nguyen
- From the Departments of Radiology (T.B.N., G.O.C., C.H.T., R.E.T., I.G.C., S.C.)
| | - G O Cron
- From the Departments of Radiology (T.B.N., G.O.C., C.H.T., R.E.T., I.G.C., S.C.)
| | | | - K Bezzina
- Faculty of Medicine (K.B.), Ottawa Hospital, University of Ottawa, Ottawa, Ontario, Canada
| | - C H Torres
- From the Departments of Radiology (T.B.N., G.O.C., C.H.T., R.E.T., I.G.C., S.C.)
| | - S Chakraborty
- From the Departments of Radiology (T.B.N., G.O.C., C.H.T., R.E.T., I.G.C., S.C.)
| | | | | | - J Sinclair
- Surgery, Division of Neurosurgery (J.S.)
| | - R E Thornhill
- From the Departments of Radiology (T.B.N., G.O.C., C.H.T., R.E.T., I.G.C., S.C.)
| | | | - B Zanette
- Department of Medical Biophysics (B.Z.), University of Toronto, Toronto, Ontario, Canada
| | - I G Cameron
- From the Departments of Radiology (T.B.N., G.O.C., C.H.T., R.E.T., I.G.C., S.C.) Medical Physics (C.F., I.G.C.)
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Fruytier AC, Magat J, Neveu MA, Karroum O, Bouzin C, Feron O, Jordan B, Cron GO, Gallez B. Dynamic contrast-enhanced MRI in mouse tumors at 11.7 T: comparison of three contrast agents with different molecular weights to assess the early effects of combretastatin A4. NMR IN BIOMEDICINE 2014; 27:1403-1412. [PMID: 25323069 DOI: 10.1002/nbm.3220] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/30/2013] [Revised: 08/29/2014] [Accepted: 08/29/2014] [Indexed: 06/04/2023]
Abstract
Dynamic contrast-enhanced (DCE)-MRI is useful to assess the early effects of drugs acting on tumor vasculature, namely anti-angiogenic and vascular disrupting agents. Ultra-high-field MRI allows higher-resolution scanning for DCE-MRI while maintaining an adequate signal-to-noise ratio. However, increases in susceptibility effects, combined with decreases in longitudinal relaxivity of gadolinium-based contrast agents (GdCAs), make DCE-MRI more challenging at high field. The aim of this work was to explore the feasibility of using DCE-MRI at 11.7 T to assess the tumor hemodynamics of mice. Three GdCAs possessing different molecular weights (gadoterate: 560 Da, 0.29 mmol Gd/kg; p846: 3.5 kDa, 0.10 mmol Gd/kg; and p792: 6.47 kDa, 0.15 mmol Gd/kg) were compared to see the influence of the molecular weight in the highlight of the biologic effects induced by combretastatin A4 (CA4). Mice bearing transplantable liver tumor (TLT) hepatocarcinoma were divided into two groups (n = 5-6 per group and per GdCA): a treated group receiving 100 mg/kg CA4, and a control group receiving vehicle. The mice were imaged at 11.7 T with a T1 -weighted FLASH sequence 2 h after the treatment. Individual arterial input functions (AIFs) were computed using phase imaging. These AIFs were used in the Extended Tofts Model to determine K(trans) and vp values. A separate immunohistochemistry study was performed to assess the vascular perfusion and the vascular density. Phase imaging was used successfully to measure the AIF for the three GdCAs. In control groups, an inverse relationship between the molecular weight of the GdCA and K(trans) and vp values was observed. K(trans) was significantly decreased in the treated group compared with the control group for each GdCA. DCE-MRI at 11.7 T is feasible to assess tumor hemodynamics in mice. With K(trans) , the three GdCAs were able to track the early vascular effects induced by CA4 treatment.
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Affiliation(s)
- A-C Fruytier
- Biomedical Magnetic Resonance Research Group, Louvain Drug Research Institute, Université catholique de Louvain, Brussels, Belgium
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18
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Brynolfsson P, Yu J, Wirestam R, Karlsson M, Garpebring A. Combining phase and magnitude information for contrast agent quantification in dynamic contrast-enhanced MRI using statistical modeling. Magn Reson Med 2014; 74:1156-64. [DOI: 10.1002/mrm.25490] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2014] [Revised: 09/10/2014] [Accepted: 09/17/2014] [Indexed: 02/04/2023]
Affiliation(s)
| | - Jun Yu
- Department of Mathematics and Mathematical Statistics; Umeå University; Umeå Sweden
| | - Ronnie Wirestam
- Department of Medical Radiation Physics; Lund University; Lund Sweden
| | - Mikael Karlsson
- Department of Radiation Physics; Umeå University; Umeå Sweden
| | - Anders Garpebring
- Department of Radiation Physics; Umeå University; Umeå Sweden
- CJ Gorter Center for High Field MRI; Leiden University Medical Center; Leiden Netherlands
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Knutsson L, Lindgren E, Ahlgren A, van Osch MJP, Bloch KM, Surova Y, Ståhlberg F, van Westen D, Wirestam R. Dynamic susceptibility contrast MRI with a prebolus contrast agent administration design for improved absolute quantification of perfusion. Magn Reson Med 2013; 72:996-1006. [PMID: 24285621 DOI: 10.1002/mrm.25006] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2013] [Revised: 09/26/2013] [Accepted: 09/27/2013] [Indexed: 11/11/2022]
Abstract
PURPOSE Arterial partial-volume effects (PVEs) often hamper reproducible absolute quantification of cerebral blood flow (CBF) and cerebral blood volume (CBV) obtained by dynamic susceptibility contrast MRI (DSC-MRI). The aim of this study was to examine whether arterial PVEs in DSC-MRI data can be minimized by rescaling the arterial input function (AIF) using a sagittal-sinus venous output function obtained following a prebolus administration of a low dose of contrast agent. METHODS The study was carried out as a test-retest experiment in 20 healthy volunteers to examine the repeatability of the CBF and CBV estimates. All subjects were scanned twice with 7-20 days between investigations. RESULTS DSC-MRI returned an overestimated average whole-brain CBF of 220 ± 44 mL/100 g/min (mean ± SD) before correction and 44 ± 15 mL/100 g/min when applying the prebolus design, averaged over all scans. Average whole-brain CBV was 20 ± 2.0 mL/100 g before correction and 4.0 ± 1.0 mL/100 g after prebolus correction. CONCLUSION Quantitative estimates of CBF and CBV, obtained with the proposed prebolus DSC-MRI technique, approached those typically obtained by other perfusion modalities. The CBF and CBV estimates showed good repeatability.
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Affiliation(s)
- Linda Knutsson
- Department of Medical Radiation Physics, Lund University, Lund, Sweden
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20
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Moroz J, Wong CL, Yung AC, Kozlowski P, Reinsberg SA. Rapid measurement of arterial input function in mouse tail from projection phases. Magn Reson Med 2013; 71:238-45. [DOI: 10.1002/mrm.24660] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2012] [Revised: 12/04/2012] [Accepted: 01/05/2013] [Indexed: 11/11/2022]
Affiliation(s)
- Jennifer Moroz
- Department of Physics and Astronomy; University of British Columbia; Vancouver Canada
| | - Clayton L. Wong
- Department of Physics; Simon Fraser University; Burnaby Canada
| | - Andrew C. Yung
- University of British Columbia MRI Research Centre; Vancouver Canada
| | - Piotr Kozlowski
- University of British Columbia MRI Research Centre; Vancouver Canada
| | - Stefan A. Reinsberg
- Department of Physics and Astronomy; University of British Columbia; Vancouver Canada
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21
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Wirestam R. Using contrast agents to obtain maps of regional perfusion and capillary wall permeability. ACTA ACUST UNITED AC 2012. [DOI: 10.2217/iim.12.24] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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Garpebring A, Brynolfsson P, Yu J, Wirestam R, Johansson A, Asklund T, Karlsson M. Uncertainty estimation in dynamic contrast-enhanced MRI. Magn Reson Med 2012; 69:992-1002. [DOI: 10.1002/mrm.24328] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2011] [Revised: 03/27/2012] [Accepted: 04/18/2012] [Indexed: 12/21/2022]
Affiliation(s)
- Anders Garpebring
- Division of Radiation Physics; Department of Radiation Sciences; Umeå University; Umeå; Sweden
| | - Patrik Brynolfsson
- Division of Radiation Physics; Department of Radiation Sciences; Umeå University; Umeå; Sweden
| | - Jun Yu
- Centre of Biostochastics; Swedish University of Agricultural Sciences; Umeå; Sweden
| | - Ronnie Wirestam
- Department of Medical Radiation Physics; Lund University; Lund; Sweden
| | - Adam Johansson
- Division of Radiation Physics; Department of Radiation Sciences; Umeå University; Umeå; Sweden
| | - Thomas Asklund
- Division of Oncology; Department of Radiation Sciences; Umeå University; Umeå; Sweden
| | - Mikael Karlsson
- Division of Radiation Physics; Department of Radiation Sciences; Umeå University; Umeå; Sweden
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