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Gassenmaier S, Herrmann J, Nickel D, Kannengiesser S, Afat S, Seith F, Hoffmann R, Othman AE. Image Quality Improvement of Dynamic Contrast-Enhanced Gradient Echo Magnetic Resonance Imaging by Iterative Denoising and Edge Enhancement. Invest Radiol 2021; 56:465-470. [PMID: 33645949 DOI: 10.1097/rli.0000000000000761] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
OBJECTIVES The aim of this study was to investigate the impact of a novel edge enhancement and iterative denoising algorithm in 1.5-T T1-weighted dynamic contrast-enhanced (DCE) gradient echo (GRE) magnetic resonance imaging of the abdomen on image quality, noise levels, diagnostic confidence, and lesion detectability. MATERIALS AND METHODS Fifty patients who underwent a clinically indicated magnetic resonance imaging with DCE imaging of the abdomen between June and August 2020 were included in this retrospective, monocentric, institutional review board-approved study. For DCE imaging, a series of 3 volume interpolated breath-hold examinations (VIBEs) was performed. The raw data of all DCE imaging studies were processed twice, once using standard reconstruction (DCES) and again using an edge enhancement and iterative denoising approach (DCEDE). All imaging studies were randomly reviewed by 2 radiologists independently regarding noise levels, arterial contrast, sharpness of vessels, overall image quality, and diagnostic confidence using a Likert scale ranging from 1 to 4, with 4 being the best. Furthermore, lesion detectability was evaluated using the same ranking system. RESULTS All 50 imaging studies were successfully reconstructed with both methods. Interreader agreement (Cohen κ) was substantial to perfect for both readers. Arterial contrast and sharpness of vessels were rated superior by both readers with a median of 4 in DCEDE versus a median of 3 in DCES (P < 0.001). Furthermore, noise levels as well as overall image quality were rated higher with a median of 4 in DCEDE compared with a median of 3 in DCES (P < 0.001). Lesion detectability was evaluated to be superior in DCEDE with a median of 4 versus DCES with a median of 3 (P < 0.001). Consequently, diagnostic confidence was also rated to be superior in DCEDE with a median of 4 versus DCES with a median of 3 (P < 0.001). CONCLUSIONS Iterative denoising and edge enhancement are feasible in DCE imaging of the abdomen providing superior arterial contrast, noise levels, and overall image quality. Furthermore, lesion detectability and diagnostic confidence were significantly improved using this novel reconstruction method. Further reduction of acquisition time might be possible via reduction of increased noise levels using this presented method.
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Affiliation(s)
- Sebastian Gassenmaier
- From the Department of Diagnostic and Interventional Radiology, Eberhard-Karls-University Tuebingen, Tuebingen
| | - Judith Herrmann
- From the Department of Diagnostic and Interventional Radiology, Eberhard-Karls-University Tuebingen, Tuebingen
| | - Dominik Nickel
- MR Applications Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany
| | | | - Saif Afat
- From the Department of Diagnostic and Interventional Radiology, Eberhard-Karls-University Tuebingen, Tuebingen
| | - Ferdinand Seith
- From the Department of Diagnostic and Interventional Radiology, Eberhard-Karls-University Tuebingen, Tuebingen
| | - Rüdiger Hoffmann
- From the Department of Diagnostic and Interventional Radiology, Eberhard-Karls-University Tuebingen, Tuebingen
| | - Ahmed E Othman
- From the Department of Diagnostic and Interventional Radiology, Eberhard-Karls-University Tuebingen, Tuebingen
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Advantages of a T1-Weighted Gradient-Recalled Echo (GRE) Sequence With a Radial 3D Sampling Approach Versus 2D Turbo Spin-Echo and Cartesian 3D GRE Sequences in Head and Neck MRI. AJR Am J Roentgenol 2020; 214:747-753. [DOI: 10.2214/ajr.19.21579] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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Free-Breathing Dynamic Contrast-Enhanced Imaging of the Upper Abdomen Using a Cartesian Compressed-Sensing Sequence With Hard-Gated and Motion-State-Resolved Reconstruction. Invest Radiol 2019; 54:728-736. [DOI: 10.1097/rli.0000000000000607] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Ichikawa S, Motosugi U, Kromrey ML, Tamada D, Wakayama T, Wang K, Cashen TA, Ersoz A, Onishi H. Utility of Stack-of-stars Acquisition for Hepatobiliary Phase Imaging without Breath-holding. Magn Reson Med Sci 2019; 19:99-107. [PMID: 31061270 PMCID: PMC7232028 DOI: 10.2463/mrms.mp.2019-0030] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023] Open
Abstract
Purpose: Post-contrast liver magnetic resonance imaging is typically performed with breath-hold 3D gradient echo sequences. However, breath-holding for >10 s is difficult for some patients. In this study, we compared the quality of hepatobiliary phase (HBP) imaging without breath-holding using the prototype pulse sequences stack-of-stars liver acquisition with volume acceleration (LAVA) (LAVA Star) with or without navigator echoes (LAVA Starnavi+ and LAVA Starnavi−) and Cartesian LAVA with navigator echoes (Cartesian LAVAnavi+). Methods: Seventy-two patients were included in this single-center, retrospective, cross-sectional study. HBP imaging using the three LAVA sequences (Cartesian LAVAnavi+, LAVA Starnavi−, and LAVA Starnavi+) without breath-holding was performed for all patients using a 3T magnetic resonance system. Two independent radiologists qualitatively analyzed (overall image quality, liver edge sharpness, hepatic vein clarity, streak artifacts, and respiratory motion/pulsation artifacts) HBP images taken by the three sequences using a five-point scale. Quantitative evaluations were also performed by calculating the liver-to-spleen, -lesion, and -portal vein (PV) signal intensity ratios. The results were compared between the three sequences using the Friedman test. Results: LAVA Starnavi+ showed the best image quality and hepatic vein clarity (P < 0.0001). LAVA Starnavi− showed the lowest image quality (P < 0.0001–0.0106). LAVA Starnavi+ images showed fewer streak artifacts than LAVA Starnavi− images (P < 0.0001), while Cartesian LAVAnavi+ images showed no streak artifacts. Cartesian LAVAnavi+ images showed stronger respiratory motion/pulsation artifacts than the others (P < 0.0001). LAVA Starnavi− images showed the highest liver-to-spleen ratios (P < 0.0001–0.0005). Cartesian LAVAnavi+ images showed the lowest liver-to-lesion and -PV ratios (P < 0.0001–0.0108). Conclusion: In terms of image quality, the combination of stack-of-stars acquisition and navigator echoes is the best for HBP imaging without breath-holding.
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Affiliation(s)
| | | | | | - Daiki Tamada
- Department of Radiology, University of Yamanashi
| | | | - Kang Wang
- MR Collaboration and Development, GE Healthcare
| | - Ty A Cashen
- MR Collaboration and Development, GE Healthcare
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Kim YC, Min JH, Kim YK, Lee SJ, Ahn S, Kim E, Peeters H. Intra-individual comparison of gadolinium-enhanced MRI using pseudo-golden-angle radial acquisition with gadoxetic acid-enhanced MRI for diagnosis of HCCs using LI-RADS. Eur Radiol 2018; 29:2058-2068. [PMID: 30324388 DOI: 10.1007/s00330-018-5771-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2018] [Revised: 08/23/2018] [Accepted: 09/17/2018] [Indexed: 02/07/2023]
Abstract
OBJECTIVES To determine the usefulness of extracellular contrast agent (ECA)-enhanced multiphasic liver magnetic resonance imaging (MRI) using a pseudo-golden-angle radial acquisition scheme by intra-individual comparison with gadoxetic acid-MRI (EOB-MRI) with regard to image quality and the diagnosis of hepatocellular carcinoma (HCC). MATERIALS AND METHODS This prospective study enrolled 15 patients with 18 HCCs who underwent EOB-MRI using a Cartesian approach and ECA-MRI using the pseudo-golden-angle radial acquisition scheme (free-breathing continuous data acquisition for 64 s following ECA injection, generating six images). Two reviewers evaluated the arterial and portal phases of each MRI for artifacts, organ sharpness, and conspicuity of intrahepatic vessels and the hepatic tumors. A Liver Imaging Reporting and Data System category was also assigned to each lesion. RESULTS There were no differences in the subjective image quality analysis between the arterial phases of two MRIs (p > 0.05). However, ghosting artifact was seen only in EOB-MRI (N = 3). Six HCCs showed different signal intensities in the arterial phase or portal phase between the two MRIs; five HCCs showed arterial hyperenhancement on ECA-MRI, but not on EOB-MRI. The capsule was observed in 15 HCCs on ECA-MRI and 6 HCCs on EOB-MRI. Five and one HCC were assigned as LR-5 and LR-4 with ECA-MRI and LR-4 and LR-3 with EOB-MRI, respectively. CONCLUSION Free-breathing ECA-enhanced multiphasic liver MRI using a pseudo-golden-angle radial acquisition was more sensitive in detecting arterial hyperenhancement of HCC than conventional EOB-MRI, and the image quality was acceptable. KEY POINTS • The pseudo-golden-angle radial acquisition scheme can be applied to perform free-breathing multiphasic dynamic liver MRI. • Adopting the pseudo-golden-angle radial acquisition scheme can improve the detection of arterial enhancement of HCC. • The pseudo-golden-angle radial acquisition scheme enables motion-free liver MRI.
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Affiliation(s)
- Yoon-Chul Kim
- Clinical Research Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Ji Hye Min
- Department of Radiology, Chungnam National University Hospital, Chungnam National University College of Medicine, 282 Munhwa-ro, Jung-gu, Daejeon, 35015, Republic of Korea
| | - Young Kon Kim
- Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Ilwon-Ro, Gangnam-gu, Seoul, 06351, Republic of Korea.
| | - Soon Jin Lee
- Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Ilwon-Ro, Gangnam-gu, Seoul, 06351, Republic of Korea
| | - Soohyun Ahn
- Department of Mathematics, Ajou University, Suwon, Republic of Korea
| | - Eunju Kim
- MR Clinical Scientist Philips Korea, Sowol-ro 2-gil, Joong-gu, Seoul, Republic of Korea
| | - Hans Peeters
- MR Clinical Scientist Philips Netherlands: Veenpluis 4-6, Building QR-0.113, 5684 PC , Best, Netherlands
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Yacoub JH, Elsayes KM, Fowler KJ, Hecht EM, Mitchell DG, Santillan C, Szklaruk J. Pitfalls in liver MRI: Technical approach to avoiding misdiagnosis and improving image quality. J Magn Reson Imaging 2018; 49:41-58. [DOI: 10.1002/jmri.26343] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2018] [Revised: 08/29/2018] [Accepted: 08/30/2018] [Indexed: 12/27/2022] Open
Affiliation(s)
- Joseph H Yacoub
- Department of Radiology; Medstar Georgetown University Hospital; Washington DC USA
| | - Khaled M. Elsayes
- Department of Diagnostic Radiology; University of Texas MD Anderson Cancer Center; Houston Texas USA
| | - Kathryn J. Fowler
- University of California San Diego Health System, Department of Radiology; San Diego California USA
| | - Elizabeth M. Hecht
- Department of Radiology; New York Presbyterian-Columbia University Medical Center; New York New York
| | - Donald G. Mitchell
- Department of Radiology; Thomas Jefferson University; Philadelphia Pennsylvania USA
| | - Cynthia Santillan
- Liver Imaging Group; University of California San Diego; San Diego California USA
| | - Janio Szklaruk
- Department of Diagnostic Radiology; University of Texas MD Anderson Cancer Center; Houston Texas USA
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Continuous Hepatic Arterial Multiphase Magnetic Resonance Imaging During Free-Breathing. Invest Radiol 2018; 53:596-601. [DOI: 10.1097/rli.0000000000000459] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
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Affiliation(s)
- Jakob Weiss
- Department of Diagnostic and Interventional Radiology, Eberhard Karls University Tuebingen, Tuebingen, Germany
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Chen F, Zhang T, Cheng JY, Shi X, Pauly JM, Vasanawala SS. Autocalibrating motion-corrected wave-encoding for highly accelerated free-breathing abdominal MRI. Magn Reson Med 2017; 78:1757-1766. [PMID: 27943402 PMCID: PMC5466545 DOI: 10.1002/mrm.26567] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2016] [Revised: 10/26/2016] [Accepted: 11/10/2016] [Indexed: 02/06/2023]
Abstract
PURPOSE To develop a motion-robust wave-encoding technique for highly accelerated free-breathing abdominal MRI. METHODS A comprehensive 3D wave-encoding-based method was developed to enable fast free-breathing abdominal imaging: (a) auto-calibration for wave-encoding was designed to avoid extra scan for coil sensitivity measurement; (b) intrinsic butterfly navigators were used to track respiratory motion; (c) variable-density sampling was included to enable compressed sensing; (d) golden-angle radial-Cartesian hybrid view-ordering was incorporated to improve motion robustness; and (e) localized rigid motion correction was combined with parallel imaging compressed sensing reconstruction to reconstruct the highly accelerated wave-encoded datasets. The proposed method was tested on six subjects and image quality was compared with standard accelerated Cartesian acquisition both with and without respiratory triggering. Inverse gradient entropy and normalized gradient squared metrics were calculated, testing whether image quality was improved using paired t-tests. RESULTS For respiratory-triggered scans, wave-encoding significantly reduced residual aliasing and blurring compared with standard Cartesian acquisition (metrics suggesting P < 0.05). For non-respiratory-triggered scans, the proposed method yielded significantly better motion correction compared with standard motion-corrected Cartesian acquisition (metrics suggesting P < 0.01). CONCLUSION The proposed methods can reduce motion artifacts and improve overall image quality of highly accelerated free-breathing abdominal MRI. Magn Reson Med 78:1757-1766, 2017. © 2016 International Society for Magnetic Resonance in Medicine.
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Affiliation(s)
- Feiyu Chen
- Department of Electrical Engineering, Stanford University, Stanford, California, USA
| | - Tao Zhang
- Department of Radiology, Stanford University, Stanford, California, USA
| | - Joseph Y. Cheng
- Department of Radiology, Stanford University, Stanford, California, USA
| | - Xinwei Shi
- Department of Electrical Engineering, Stanford University, Stanford, California, USA
| | - John M. Pauly
- Department of Electrical Engineering, Stanford University, Stanford, California, USA
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Diagnostic Accuracy of Split-Bolus Single-Phase Contrast-Enhanced Cone-Beam CT for the Detection of Liver Tumors before Transarterial Chemoembolization. J Vasc Interv Radiol 2017; 28:1378-1385. [DOI: 10.1016/j.jvir.2017.05.018] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2017] [Revised: 05/24/2017] [Accepted: 05/24/2017] [Indexed: 12/30/2022] Open
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Weiss J, Notohamiprodjo M, Martirosian P, Taron J, Nickel MD, Kolb M, Bamberg F, Nikolaou K, Othman AE. Self-gated 4D-MRI of the liver: Initial clinical results of continuous multiphase imaging of hepatic enhancement. J Magn Reson Imaging 2017; 47:459-467. [DOI: 10.1002/jmri.25784] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2017] [Accepted: 05/19/2017] [Indexed: 02/04/2023] Open
Affiliation(s)
- Jakob Weiss
- Department of Diagnostic and Interventional Radiology; Eberhard Karls University Tuebingen; Tuebingen Germany
| | - Mike Notohamiprodjo
- Department of Diagnostic and Interventional Radiology; Eberhard Karls University Tuebingen; Tuebingen Germany
| | - Petros Martirosian
- Department of Diagnostic and Interventional Radiology; Eberhard Karls University Tuebingen; Tuebingen Germany
| | - Jana Taron
- Department of Diagnostic and Interventional Radiology; Eberhard Karls University Tuebingen; Tuebingen Germany
| | | | - Manuel Kolb
- Department of Diagnostic and Interventional Radiology; Eberhard Karls University Tuebingen; Tuebingen Germany
| | - Fabian Bamberg
- Department of Diagnostic and Interventional Radiology; Eberhard Karls University Tuebingen; Tuebingen Germany
| | - Konstantin Nikolaou
- Department of Diagnostic and Interventional Radiology; Eberhard Karls University Tuebingen; Tuebingen Germany
| | - Ahmed E. Othman
- Department of Diagnostic and Interventional Radiology; Eberhard Karls University Tuebingen; Tuebingen Germany
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