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Wu B, Cheng C, Qi Y, Zhou H, Peng H, Wan Q, Liu X, Zheng H, Zhang H, Zou C. Automatic segmentation of human supraclavicular adipose tissue using high-resolution T2-weighted magnetic resonance imaging. MAGMA (NEW YORK, N.Y.) 2023; 36:641-649. [PMID: 36538249 DOI: 10.1007/s10334-022-01056-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/29/2022] [Revised: 12/07/2022] [Accepted: 12/08/2022] [Indexed: 06/17/2023]
Abstract
OBJECTIVE To achieve efficient segmentation of human supraclavicular adipose tissue (sclavAT) using high-resolution T2-weighted magnetic resonance images. METHODS High-resolution 1.0 mm isotropic 3D T2-weighted images covering human supraclavicular area were acquired in transverse or coronary plane from 29 volunteers using a 3.0 T MRI scanner. There were typically 144/288 slices for the transverse/coronary scans for each subject, which amounts to a total of 6816 images in 29 volunteers. A U-NET network was trained to segment the supraclavicular adipose tissue (sclavAT). The performance of the automatic segmentation method was evaluated by comparing the output results with the manual labels using the quantitative indices of dice similarity coefficient (DSC), precision rate (PR), and recall rate (RR). The auto-segmented images were used to calculate the sclavAT volumes and registered to the MR fat fraction (FF) images to quantify the fat component of the sclavAT area. The relationship between body mass index (BMI), the volume and FF of sclavAT area was evaluated for all subjects. RESULTS The DSC, PR and RR of the automatic sclavAT segmentation method on the testing datasets were 0.920 ± 0.048, 0.915 ± 0.070 and 0.930 ± 0.058. The volume and the mean FF of sclavAT were both found to be strongly correlated to BMI, with the correlation coefficient of 0.703 and 0.625 (p < 0.05), respectively. The averaged computation time of the automatic segmentation method was approximately 0.06 s per slice, compared to more than 5 min for manual labeling. CONCLUSION The present study demonstrates that the proposed automatic segmentation method using U-Net network is able to identify human sclavAT efficiently and accurately.
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Affiliation(s)
- Bingxia Wu
- School of Information Engineering, Wuhan University of Technology, Wuhan, China
- Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, 1068 Xueyuan Avenue, Shenzhen University Town, Shenzhen, 518055, China
| | - Chuanli Cheng
- Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, 1068 Xueyuan Avenue, Shenzhen University Town, Shenzhen, 518055, China
- Imaging Research Institute of Innovative Medical Equipment, Shenzhen, China
| | - Yulong Qi
- Radiology Department, Peking University Shenzhen Hospital, Shenzhen, China
| | - Hongyu Zhou
- Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, 1068 Xueyuan Avenue, Shenzhen University Town, Shenzhen, 518055, China
| | - Hao Peng
- Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, 1068 Xueyuan Avenue, Shenzhen University Town, Shenzhen, 518055, China
| | - Qian Wan
- Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, 1068 Xueyuan Avenue, Shenzhen University Town, Shenzhen, 518055, China
| | - Xin Liu
- Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, 1068 Xueyuan Avenue, Shenzhen University Town, Shenzhen, 518055, China
| | - Hairong Zheng
- Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, 1068 Xueyuan Avenue, Shenzhen University Town, Shenzhen, 518055, China
| | - Huimao Zhang
- Radiology Department, Bethune First Hospital of Jilin University, Changchun, China
| | - Chao Zou
- Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, 1068 Xueyuan Avenue, Shenzhen University Town, Shenzhen, 518055, China.
- Imaging Research Institute of Innovative Medical Equipment, Shenzhen, China.
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Liu J, Wang C, Wang J, Zhang C, Wu Y, Balu N, Qi H, Zhang Q, Yuan C, Chen H. Motion detection and correction for carotid MRI using a markerless optical system. Magn Reson Imaging 2022; 94:161-167. [PMID: 36191857 DOI: 10.1016/j.mri.2022.09.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2021] [Revised: 04/29/2022] [Accepted: 09/27/2022] [Indexed: 10/14/2022]
Abstract
PURPOSE Motion related artifact is a challenge for MRI, especially when imaging regions like the carotid artery where complex motion (abrupt and bulk motion) may occur. This study aims to develop a non-contact motion detection and correction system for carotid MRI using a markerless optical tracking system. METHODS The proposed markerless optical tracking system consisted of a cross-line laser, an MRI-compatible camera and plastic holders mounted inside the scanner bore. The neck motion of the subject can be captured by monitoring the change of the projected laser position in real-time. The system was used to correct both abrupt motion and bulk motion for carotid MRI. The abrupt motion (e.g. coughing) was compensated by discarding the corrupted k-space lines and re-estimating the missing lines using SPIRiT algorithm. The bulk motion was corrected by phase adjustment of k-space lines according to the measured 1D-translational bulk motion (along anterior-posterior direction) and optimized in-plane translation parameters. Ten volunteers underwent carotid MRI with real-time neck motion detection and retrospective motion correction. Artery sharpness, vessel wall thickness and overall image quality score were compared between the motion-corrupted image and motion-corrected images of different correction strategies. RESULTS Both the abrupt motion and the bulk motion during carotid scanning were successfully detected and corrected. The results of ten volunteers demonstrated significant improvement in carotid artery sharpness, vessel wall thickness measurement, and overall image quality score using the proposed markerless optical tracking system and motion correction strategies. CONCLUSION The proposed markerless structured light based motion detection and correction system can sensitively detect both abrupt and bulk motion during carotid MR scans. By correcting for both abrupt and bulk motion, vessel wall delineation was improved in carotid MR images, which could potentially facilitate carotid plaque identification and atherosclerosis diagnosis in the future.
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Affiliation(s)
- Jin Liu
- Department of Bioengineering, University of Washington, Seattle, WA, United States of America
| | - Chunyao Wang
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China
| | - Jinnan Wang
- Department of Bioengineering, University of Washington, Seattle, WA, United States of America.
| | - Chen Zhang
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China
| | - Yifan Wu
- Department of Bioengineering, University of Washington, Seattle, WA, United States of America
| | - Niranjan Balu
- Department of Bioengineering, University of Washington, Seattle, WA, United States of America.
| | - Haikun Qi
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China
| | - Qiang Zhang
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China.
| | - Chun Yuan
- Department of Bioengineering, University of Washington, Seattle, WA, United States of America.
| | - Huijun Chen
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China.
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Wan M, Yan L, Xu Z, Hou Z, Kang K, Cui R, Yu Y, Song J, Hui F, Wang Y, Miao Z, Lou X, Ma N. Symptomatic and Asymptomatic Chronic Carotid Artery Occlusion on High-Resolution MR Vessel Wall Imaging. AJNR Am J Neuroradiol 2022; 43:110-116. [PMID: 34857516 PMCID: PMC8757554 DOI: 10.3174/ajnr.a7365] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Accepted: 09/28/2021] [Indexed: 01/03/2023]
Abstract
BACKGROUND AND PURPOSE Chronic carotid artery occlusion remains a poorly understood risk factor for subsequent stroke, and potential revascularization is dependent on understanding the anatomy and nature of the occlusion. Luminal imaging cannot assess the nature of an occlusion, so the internal structure of the occlusion must be inferred. The present study examines the signal characteristics of symptomatic and asymptomatic carotid occlusion that may point to management differentiation. MATERIALS AND METHODS We prospectively recruited patients who were diagnosed with chronic carotid artery occlusion defined as longer than 4 weeks and confirmed by DSA. All patients underwent high-resolution MR vessel wall imaging examinations after enrollment. Baseline characteristics, vessel wall imaging features, and DSA features were collected and evaluated. The vessel wall imaging features included segment involvement, signal intensity, contrast enhancement, and vessel wall thickness. The symptomatic and asymptomatic chronic carotid artery occlusions were compared. RESULTS A total of 44 patients with 48 lesions were included in this study from February 2020 to December 2020. Of the 48 lesions, 35 (72.9%) were symptomatic and 13 (27.1%) were asymptomatic. There was no difference in baseline and DSA features. On vessel wall imaging, C1 and C2 were the most commonly involved segments (91.7% and 68.8%, respectively). Compared with symptomatic lesions, asymptomatic lesions were more often isointense (69.2%) in the distal segment (P = .03). Both groups had diffuse wall thickening (80% and 100%). CONCLUSIONS Signal characteristics between those with symptomatic and asymptomatic carotid artery occlusions differ in a statistically significant fashion, indicating a different structure of the occlusion.
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Affiliation(s)
- M. Wan
- From the Department of Interventional Neuroradiology (M.W., L.Y., Z.H., R.C., Y.Y., J.S., Z.M., N.M.),China National Clinical Research Center for Neurological Diseases (M.W., L.Y., Z.H., K.K., R.C., Y.Y., J.S., Y.W., Z.M., N.M.), Beijing, China,Department of Neurology (M.W.), Shijingshan Teaching Hospital of Capital Medical University, Beijing Shijingshan Hospital, Beijing, China
| | - L. Yan
- From the Department of Interventional Neuroradiology (M.W., L.Y., Z.H., R.C., Y.Y., J.S., Z.M., N.M.),China National Clinical Research Center for Neurological Diseases (M.W., L.Y., Z.H., K.K., R.C., Y.Y., J.S., Y.W., Z.M., N.M.), Beijing, China
| | - Z. Xu
- Department of Neurology (Z.X.), The First Affiliated Hospital of College of Medicine, Zhejiang University, Hangzhou, China
| | - Z. Hou
- From the Department of Interventional Neuroradiology (M.W., L.Y., Z.H., R.C., Y.Y., J.S., Z.M., N.M.),China National Clinical Research Center for Neurological Diseases (M.W., L.Y., Z.H., K.K., R.C., Y.Y., J.S., Y.W., Z.M., N.M.), Beijing, China
| | - K. Kang
- Neurology (K.K., Y.W.), Beijing Tiantan Hospital, Capital Medical University, Beijing, China,China National Clinical Research Center for Neurological Diseases (M.W., L.Y., Z.H., K.K., R.C., Y.Y., J.S., Y.W., Z.M., N.M.), Beijing, China
| | - R. Cui
- From the Department of Interventional Neuroradiology (M.W., L.Y., Z.H., R.C., Y.Y., J.S., Z.M., N.M.),China National Clinical Research Center for Neurological Diseases (M.W., L.Y., Z.H., K.K., R.C., Y.Y., J.S., Y.W., Z.M., N.M.), Beijing, China
| | - Y. Yu
- From the Department of Interventional Neuroradiology (M.W., L.Y., Z.H., R.C., Y.Y., J.S., Z.M., N.M.),China National Clinical Research Center for Neurological Diseases (M.W., L.Y., Z.H., K.K., R.C., Y.Y., J.S., Y.W., Z.M., N.M.), Beijing, China
| | - J. Song
- From the Department of Interventional Neuroradiology (M.W., L.Y., Z.H., R.C., Y.Y., J.S., Z.M., N.M.),China National Clinical Research Center for Neurological Diseases (M.W., L.Y., Z.H., K.K., R.C., Y.Y., J.S., Y.W., Z.M., N.M.), Beijing, China
| | - F.K. Hui
- Department of Radiology and Radiological Sciences (F.K.H.), Johns Hopkins Hospital, Baltimore, Maryland
| | - Y. Wang
- Neurology (K.K., Y.W.), Beijing Tiantan Hospital, Capital Medical University, Beijing, China,China National Clinical Research Center for Neurological Diseases (M.W., L.Y., Z.H., K.K., R.C., Y.Y., J.S., Y.W., Z.M., N.M.), Beijing, China
| | - Z. Miao
- From the Department of Interventional Neuroradiology (M.W., L.Y., Z.H., R.C., Y.Y., J.S., Z.M., N.M.),China National Clinical Research Center for Neurological Diseases (M.W., L.Y., Z.H., K.K., R.C., Y.Y., J.S., Y.W., Z.M., N.M.), Beijing, China
| | - X. Lou
- Department of Radiology (X.L.), Chinese PLA General Hospital, Beijing, China
| | - N. Ma
- From the Department of Interventional Neuroradiology (M.W., L.Y., Z.H., R.C., Y.Y., J.S., Z.M., N.M.),China National Clinical Research Center for Neurological Diseases (M.W., L.Y., Z.H., K.K., R.C., Y.Y., J.S., Y.W., Z.M., N.M.), Beijing, China
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Hu Z, van der Kouwe A, Han F, Xiao J, Chen J, Han H, Bi X, Li D, Fan Z. Motion-compensated 3D turbo spin-echo for more robust MR intracranial vessel wall imaging. Magn Reson Med 2021; 86:637-647. [PMID: 33768617 DOI: 10.1002/mrm.28777] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2020] [Revised: 01/31/2021] [Accepted: 02/27/2021] [Indexed: 12/31/2022]
Abstract
PURPOSE (1) To investigate the effect of internal localized movement on 3DMR intracranial vessel wall imaging and (2) to develop a novel motion-compensation approach combining volumetric navigator (vNav) and self-gating (SG) to simultaneously compensate for bulk and localized movements. METHODS A 3D variable-flip-angle turbo spin-echo (ie, SPACE) sequence was modified to incorporate vNav and SG modules. The SG signals from the center k-space line are acquired at the beginning of each TR to detect localized motion-affected TRs. The vNavs from low-resolution 3D EPI are acquired to identify bulk head motion. Fifteen healthy subjects and 3 stroke patients were recruited in this study. Overall image quality (0-poor to 4-excellent) and vessel wall sharpness were compared among the scenarios with and without bulk and/or localized motion and/or the proposed compensation strategies. RESULTS Localized motion reduced wall sharpness, which was significantly mitigated by SG (ie, outer boundary of basilar artery: 0.68 ± 0.27 vs 0.86 ± 0.17; P = .037). When motion occurred, the overall image quality and vessel wall sharpness obtained with vNav-SG SPACE were significantly higher than those obtained with conventional SPACE (ie, basilarartery outer boundary sharpness: 0.73 ± 0.24 vs 0.94 ± 0.24; P = .033), yet comparable to those obtained in motion-free scans (ie, basilarartery outer boundary sharpness: 0.94 ± 0.24 vs 0.96 ± 0.31; P = .815). CONCLUSION Localized movements can induce considerable artifacts in intracranial vessel wall imaging. The vNav-SG approach is capable of compensating for both bulk and localized motions.
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Affiliation(s)
- Zhehao Hu
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA.,Department of Bioengineering, University of California, Los Angeles, California, USA
| | - Andre van der Kouwe
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts, USA.,Department of Radiology, Harvard Medical School, Brookline, Massachusetts, USA
| | - Fei Han
- Siemens Medical Solutions USA, Inc., Los Angeles, California, USA
| | - Jiayu Xiao
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Junzhou Chen
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA.,Department of Bioengineering, University of California, Los Angeles, California, USA
| | - Hui Han
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Xiaoming Bi
- Siemens Medical Solutions USA, Inc., Los Angeles, California, USA
| | - Debiao Li
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA.,Department of Bioengineering, University of California, Los Angeles, California, USA
| | - Zhaoyang Fan
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA.,Department of Radiology, University of Southern California Keck School of Medicine, Los Angeles, California, USA
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Frost R, Biasiolli L, Li L, Hurst K, Alkhalil M, Choudhury RP, Robson MD, Hess AT, Jezzard P. Navigator-based reacquisition and estimation of motion-corrupted data: Application to multi-echo spin echo for carotid wall MRI. Magn Reson Med 2020; 83:2026-2041. [PMID: 31697862 PMCID: PMC7065122 DOI: 10.1002/mrm.28063] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2019] [Revised: 10/10/2019] [Accepted: 10/11/2019] [Indexed: 12/14/2022]
Abstract
PURPOSE To assess whether artifacts in multi-slice multi-echo spin echo neck imaging, thought to be caused by brief motion events such as swallowing, can be corrected by reacquiring corrupted central k-space data and estimating the remainder with parallel imaging. METHODS A single phase-encode line (ky = 0, phase-encode direction anteroposterior) navigator echo was used to identify motion-corrupted data and guide the online reacquisition. If motion corruption was detected in the 7 central k-space lines, they were replaced with reacquired data. Subsequently, GRAPPA reconstruction was trained on the updated central portion of k-space and then used to estimate the remaining motion-corrupted k-space data from surrounding uncorrupted data. Similar compressed sensing-based approaches have been used previously to compensate for respiration in cardiac imaging. The g-factor noise amplification was calculated for the parallel imaging reconstruction of data acquired with a 10-channel neck coil. The method was assessed in scans with 9 volunteers and 12 patients. RESULTS The g-factor analysis showed that GRAPPA reconstruction of 2 adjacent motion-corrupted lines causes high noise amplification; therefore, the number of 2-line estimations should be limited. In volunteer scans, median ghosting reduction of 24% was achieved with 2 adjacent motion-corrupted lines correction, and image quality was improved in 2 patient scans that had motion corruption close to the center of k-space. CONCLUSION Motion-corrupted echo-trains can be identified with a navigator echo. Combined reacquisition and parallel imaging estimation reduced motion artifacts in multi-slice MESE when there were brief motion events, especially when motion corruption was close to the center of k-space.
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Affiliation(s)
- Robert Frost
- Wellcome Centre for Integrative NeuroimagingFMRIB DivisionNuffield Department of Clinical NeurosciencesUniversity of OxfordOxfordUnited Kingdom
- Athinoula A. Martinos Center for Biomedical ImagingMassachusetts General HospitalCharlestownMassachusetts
- Department of RadiologyHarvard Medical SchoolBostonMassachusetts
| | - Luca Biasiolli
- Oxford Centre for Clinical Magnetic Resonance ResearchDivision of Cardiovascular MedicineRadcliffe Department of MedicineUniversity of OxfordOxfordUnited Kingdom
- Acute Vascular Imaging CentreDivision of Cardiovascular MedicineRadcliffe Department of MedicineUniversity of OxfordOxfordUnited Kingdom
| | - Linqing Li
- Laboratory of Brain and CognitionNational Institute of Mental HealthBethesdaMaryland
| | - Katherine Hurst
- Nuffield Department of Surgical SciencesUniversity of OxfordOxfordUnited Kingdom
| | - Mohammad Alkhalil
- Acute Vascular Imaging CentreDivision of Cardiovascular MedicineRadcliffe Department of MedicineUniversity of OxfordOxfordUnited Kingdom
| | - Robin P. Choudhury
- Acute Vascular Imaging CentreDivision of Cardiovascular MedicineRadcliffe Department of MedicineUniversity of OxfordOxfordUnited Kingdom
| | - Matthew D. Robson
- Oxford Centre for Clinical Magnetic Resonance ResearchDivision of Cardiovascular MedicineRadcliffe Department of MedicineUniversity of OxfordOxfordUnited Kingdom
| | - Aaron T. Hess
- Oxford Centre for Clinical Magnetic Resonance ResearchDivision of Cardiovascular MedicineRadcliffe Department of MedicineUniversity of OxfordOxfordUnited Kingdom
| | - Peter Jezzard
- Wellcome Centre for Integrative NeuroimagingFMRIB DivisionNuffield Department of Clinical NeurosciencesUniversity of OxfordOxfordUnited Kingdom
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Wang Z, Lu M, Liu W, Zheng T, Li D, Yu W, Fan Z. Assessment of carotid atherosclerotic disease using three-dimensional cardiovascular magnetic resonance vessel wall imaging: comparison with digital subtraction angiography. J Cardiovasc Magn Reson 2020; 22:18. [PMID: 32131854 PMCID: PMC7057661 DOI: 10.1186/s12968-020-0604-x] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2019] [Accepted: 02/05/2020] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND A three-dimensional (3D) cardiovascular magnetic resonance (CMR) vessel wall imaging (VWI) technique based on 3D T1 weighted (T1w) Sampling Perfection with Application-optimized Contrast using different flip angle Evolutions (SPACE) has recently been used as a promising CMR imaging modality for evaluating extra-cranial and intra-cranial vessel walls. However, this technique is yet to be validated against the current diagnostic imaging standard. We therefore aimed to evaluate the diagnostic performance of 3D CMR VWI in characterizing carotid disease using intra-arterial digital subtraction angiography (DSA) as a reference. METHODS Consecutive patients with at least unilateral > 50% carotid stenosis on ultrasound were scheduled to undergo interventional therapy were invited to participate. The following metrics were measured using 3D CMR VWI and DSA: lumen diameter of the common carotid artery (CCA) and segments C1-C7, stenosis diameter, reference diameter, lesion length, stenosis degree, and ulceration. We assessed the diagnostic sensitivity, specificity, accuracy, and receiver operating characteristic (ROC) curve of 3D CMR VWI, and used Cohen's kappa, the intraclass correlation coefficient (ICC), and Bland-Altman analyses to assess the diagnostic agreement between 3D CMR VWI and DSA. RESULTS The ICC (all ICCs ≥0.96) and Bland-Altman plots indicated excellent inter-reader agreement in all individual morphologic measurements by 3D CMR VWI. Excellent agreement in all individual morphologic measurements were also found between 3D CMR VWI and DSA. In addition, 3D CMR VWI had high sensitivity (98.4, 97.4, 80.0, 100.0%), specificity (100.0, 94.5, 99.1, 98.0%), and Cohen's kappa (0.99, 0.89, 0.84, 0.96) for detecting stenosis > 50%, stenosis > 70%, ulceration, and total occlusion, respectively, using DSA as the standard. The AUC of 3D CMR VWI for predicting stenosis > 50 and > 70% were 0.998 and 0.999, respectively. CONCLUSIONS The 3D CMR VWI technique enables accurate diagnosis and luminal feature assessment of carotid artery atherosclerosis, suggesting that this imaging modality may be useful for routine imaging workups and provide comprehensive information for both the vessel wall and lumen.
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Affiliation(s)
- Zhenjia Wang
- Department of Radiology, Beijing Anzhen Hospital, Capital Medical University, No.2 Anzhen Road, Beijing, 100029 China
- Department of Radiology, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, No. 23, Back Road of Art Gallery, Beijing, 100010 China
| | - Mi Lu
- Department of Otolaryngology Head and Neck Surgery, Beijing Anzhen Hospital, Capital Medical University, No. 2 Anzhen Road, Beijing, 100029 China
| | - Wen Liu
- Department of Radiology, Beijing Anzhen Hospital, Capital Medical University, No.2 Anzhen Road, Beijing, 100029 China
| | - Tiejin Zheng
- Department of Neurosurgery, Beijing Anzhen Hospital, Capital Medical University, No. 2 Anzhen Road, Beijing, 100029 China
| | - Debiao Li
- Biomedical Imaging Research Institute, Department of Biomedical Sciences, Cedars-Sinai Medical Center, 8700 Beverly Blvd., PACT 400, Los Angeles, CA 90048 USA
- Department of Bioengineering, University of California, Los Angeles, CA USA
| | - Wei Yu
- Department of Radiology, Beijing Anzhen Hospital, Capital Medical University, No.2 Anzhen Road, Beijing, 100029 China
| | - Zhaoyang Fan
- Biomedical Imaging Research Institute, Department of Biomedical Sciences, Cedars-Sinai Medical Center, 8700 Beverly Blvd., PACT 400, Los Angeles, CA 90048 USA
- Department of Bioengineering, University of California, Los Angeles, CA USA
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Wang N, Christodoulou AG, Xie Y, Wang Z, Deng Z, Zhou B, Lee S, Fan Z, Chang H, Yu W, Li D. Quantitative 3D dynamic contrast-enhanced (DCE) MR imaging of carotid vessel wall by fast T1 mapping using Multitasking. Magn Reson Med 2018; 81:2302-2314. [PMID: 30368891 DOI: 10.1002/mrm.27553] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2018] [Revised: 09/05/2018] [Accepted: 09/07/2018] [Indexed: 12/18/2022]
Abstract
PURPOSE To develop a dynamic contrast-enhanced (DCE) MRI method capable of high spatiotemporal resolution, 3D carotid coverage, and T1-based quantification of contrast agent concentration for the assessment of carotid atherosclerosis using a newly developed Multitasking technique. METHODS 5D imaging with 3 spatial dimensions, 1 T1 recovery dimension, and 1 DCE time dimension was performed using MR Multitasking based on low-rank tensor modeling, which allows direct T1 quantification with high spatiotemporal resolution (0.7 mm isotropic and 595 ms, respectively). Saturation recovery preparations followed by 3D segmented fast low angle shot readouts were implemented with Gaussian-density random 3D Cartesian sampling. A bulk motion removal scheme was developed to improve image quality. The proposed protocol was tested in phantom and human studies. In vivo scans were performed on 14 healthy subjects and 7 patients with carotid atherosclerosis. Kinetic parameters including area under the concentration versus time curve (AUC), vp , Ktrans , and ve were evaluated for each case. RESULTS Phantom experiments showed that T1 measurements using the proposed protocol were in good agreement with reference value ( R 2 = 0.96 ). In vivo studies demonstrated that AUC, vp , and Ktrans in the patient group were significantly higher than in the control group (0.63 ± 0.13 versus 0.42 ± 0.12, P < 0.001; 0.14 ± 0.05 versus 0.11 ± 0.03, P = 0.034; and 0.13 ± 0.04 versus 0.08 ± 0.02, P < 0.001, respectively). Results from repeated subjects showed good interscan reproducibility (intraclass correlation coefficient: vp , 0.83; Ktrans , 0.87; ve , 0.92; AUC, 0.94). CONCLUSION Multitasking DCE is a promising approach for quantitatively assessing the vascularity properties of the carotid vessel wall.
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Affiliation(s)
- Nan Wang
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California.,Department of Bioengineering, University of California, Los Angeles, California
| | | | - Yibin Xie
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California
| | - Zhenjia Wang
- Department of Radiology, Anzhen Hospital, Beijing, China
| | - Zixin Deng
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California
| | - Bill Zhou
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California.,David Geffen School of Medicine, University of California, Los Angeles, California
| | - Sangeun Lee
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California.,Severance Cardiovascular Hospital, Seoul, Korea.,College of Medicine, Yonsei University, Seoul, Korea
| | - Zhaoyang Fan
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California
| | - Hyukjae Chang
- Severance Cardiovascular Hospital, Seoul, Korea.,College of Medicine, Yonsei University, Seoul, Korea
| | - Wei Yu
- Department of Radiology, Anzhen Hospital, Beijing, China
| | - Debiao Li
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California.,Department of Bioengineering, University of California, Los Angeles, California
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8
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Saba L, Yuan C, Hatsukami TS, Balu N, Qiao Y, DeMarco JK, Saam T, Moody AR, Li D, Matouk CC, Johnson MH, Jäger HR, Mossa-Basha M, Kooi ME, Fan Z, Saloner D, Wintermark M, Mikulis DJ, Wasserman BA. Carotid Artery Wall Imaging: Perspective and Guidelines from the ASNR Vessel Wall Imaging Study Group and Expert Consensus Recommendations of the American Society of Neuroradiology. AJNR Am J Neuroradiol 2018; 39:E9-E31. [PMID: 29326139 DOI: 10.3174/ajnr.a5488] [Citation(s) in RCA: 176] [Impact Index Per Article: 29.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Identification of carotid artery atherosclerosis is conventionally based on measurements of luminal stenosis and surface irregularities using in vivo imaging techniques including sonography, CT and MR angiography, and digital subtraction angiography. However, histopathologic studies demonstrate considerable differences between plaques with identical degrees of stenosis and indicate that certain plaque features are associated with increased risk for ischemic events. The ability to look beyond the lumen using highly developed vessel wall imaging methods to identify plaque vulnerable to disruption has prompted an active debate as to whether a paradigm shift is needed to move away from relying on measurements of luminal stenosis for gauging the risk of ischemic injury. Further evaluation in randomized clinical trials will help to better define the exact role of plaque imaging in clinical decision-making. However, current carotid vessel wall imaging techniques can be informative. The goal of this article is to present the perspective of the ASNR Vessel Wall Imaging Study Group as it relates to the current status of arterial wall imaging in carotid artery disease.
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Affiliation(s)
- L Saba
- From the Department of Medical Imaging (L.S.), University of Cagliari, Cagliari, Italy
| | - C Yuan
- Departments of Radiology (C.Y., N.B., M.M.-B.)
| | - T S Hatsukami
- Surgery (T.S.H.), University of Washington, Seattle, Washington
| | - N Balu
- Departments of Radiology (C.Y., N.B., M.M.-B.)
| | - Y Qiao
- The Russell H. Morgan Department of Radiology and Radiological Sciences (Y.Q., B.A.W.), Johns Hopkins Hospital, Baltimore, Maryland
| | - J K DeMarco
- Department of Radiology (J.K.D.), Walter Reed National Military Medical Center, Bethesda, Maryland
| | - T Saam
- Department of Radiology (T.S.), Ludwig-Maximilian University Hospital, Munich, Germany
| | - A R Moody
- Department of Medical Imaging (A.R.M.), Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - D Li
- Biomedical Imaging Research Institute (D.L., Z.F.), Cedars-Sinai Medical Center, Los Angeles, California
| | - C C Matouk
- Departments of Neurosurgery, Neurovascular and Stroke Programs (C.C.M., M.H.J.).,Radiology and Biomedical Imaging (C.C.M., M.H.J.)
| | - M H Johnson
- Departments of Neurosurgery, Neurovascular and Stroke Programs (C.C.M., M.H.J.).,Radiology and Biomedical Imaging (C.C.M., M.H.J.).,Surgery (M.H.J.), Yale University School of Medicine, New Haven, Connecticut
| | - H R Jäger
- Neuroradiological Academic Unit (H.R.J.), Department of Brain Repair and Rehabilitation, University College London Institute of Neurology, London, UK
| | | | - M E Kooi
- Department of Radiology (M.E.K.), CARIM School for Cardiovascular Diseases, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Z Fan
- Biomedical Imaging Research Institute (D.L., Z.F.), Cedars-Sinai Medical Center, Los Angeles, California
| | - D Saloner
- Department of Radiology and Biomedical Imaging (D.S.), University of California, San Francisco, California
| | - M Wintermark
- Department of Radiology (M.W.), Neuroradiology Division, Stanford University, Stanford, California
| | - D J Mikulis
- Division of Neuroradiology (D.J.M.), Department of Medical Imaging, University Health Network
| | - B A Wasserman
- The Russell H. Morgan Department of Radiology and Radiological Sciences (Y.Q., B.A.W.), Johns Hopkins Hospital, Baltimore, Maryland
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Xie Y, Yang Q, Xie G, Pang J, Fan Z, Li D. Improved black-blood imaging using DANTE-SPACE for simultaneous carotid and intracranial vessel wall evaluation. Magn Reson Med 2015; 75:2286-94. [PMID: 26152900 DOI: 10.1002/mrm.25785] [Citation(s) in RCA: 74] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2015] [Revised: 05/06/2015] [Accepted: 05/06/2015] [Indexed: 11/10/2022]
Abstract
PURPOSE The purpose of this study was to develop a three-dimensional black blood imaging method for simultaneously evaluating the carotid and intracranial arterial vessel walls with high spatial resolution and excellent blood suppression with and without contrast enhancement. METHODS The delay alternating with nutation for tailored excitation (DANTE) preparation module was incorporated into three-dimensional variable flip angle turbo spin echo (SPACE) sequence to improve blood signal suppression. Simulations and phantom studies were performed to quantify image contrast variations induced by DANTE. DANTE-SPACE, SPACE, and two-dimensional turbo spin echo were compared for apparent signal-to-noise ratio, contrast-to-noise ratio, and morphometric measurements in 14 healthy subjects. Preliminary clinical validation was performed in six symptomatic patients. RESULTS Apparent residual luminal blood was observed in five (pre-contrast) and nine (post-contrast) subjects with SPACE and only two (post-contrast) subjects with DANTE-SPACE. DANTE-SPACE showed 31% (pre-contrast) and 100% (post-contrast) improvement in wall-to-blood contrast-to-noise ratio over SPACE. Vessel wall area measured from SPACE was significantly larger than that from DANTE-SPACE due to possible residual blood signal contamination. DANTE-SPACE showed the potential to detect vessel wall dissection and identify plaque components in patients. CONCLUSION DANTE-SPACE significantly improved arterial and venous blood suppression compared with SPACE. Simultaneous high-resolution carotid and intracranial vessel wall imaging to potentially identify plaque components was feasible with a scan time under 6 min. Magn Reson Med 75:2286-2294, 2016. © 2015 Wiley Periodicals, Inc.
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Affiliation(s)
- Yibin Xie
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA.,Department of Bioengineering, University of California, Los Angeles, California, USA
| | - Qi Yang
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA.,Department of Radiology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Guoxi Xie
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA.,Shenzhen Key Lab for MRI, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Jianing Pang
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Zhaoyang Fan
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Debiao Li
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA.,Department of Bioengineering, University of California, Los Angeles, California, USA
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10
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Zhang N, Zou L, Huang Y, Liu D, Tang Y, Fan Z, Chen H, Liu X. Non-Contrast Enhanced MR Angiography (NCE-MRA) of the Calf: A Direct Comparison between Flow-Sensitive Dephasing (FSD) Prepared Steady-State Free Precession (SSFP) and Quiescent-Interval Single-Shot (QISS) in Patients with Diabetes. PLoS One 2015; 10:e0128786. [PMID: 26035645 PMCID: PMC4452776 DOI: 10.1371/journal.pone.0128786] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2014] [Accepted: 04/30/2015] [Indexed: 11/25/2022] Open
Abstract
Objectives To compare the image quality and diagnostic performance of two non-contrast enhanced MR angiography (NCE-MRA) techniques using flow-sensitive dephasing (FSD) prepared steady-state free precession (SSFP) and quiescent-interval single-shot (QISS) for the calf arteries in patients with diabetes. Materials and Methods Twenty six patients underwent the two NCE-MRA techniques followed by contrast-enhanced MRA (CE-MRA) of lower extremity on a 1.5T MR system. Image quality scores, arterial stenosis scores, signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), vessel sharpness, and diagnostic accuracy for detecting more than 50% arterial stenosis were evaluated and statistically compared using CE-MRA as the reference standard. Results All examinations were performed successfully. Of the total 153 calf arterial segments obtained in the 26 patients, FSD and QISS showed no significant difference in the number of diagnostic arterial segments (151 [98%] vs. 147 [96%], respectively, P>0.05). The image quality of FSD was higher than that of QISS in the peroneal artery and posterior tibial artery (P<0.05), but no significant difference in the anterior tibial artery (P>0.05). SNR and CNR of FSD were higher than those of QISS (P<0.01), while FSD showed comparable vessel sharpness compared with QISS (P>0.05). The time efficiency of SNR and CNR between FSD and QISS showed no significant difference when taking into account the times for FSD-related scout scans. There was no difference in sensitivity (95% vs. 93%, P>0.05) and negative predictive value (98% vs. 97%, P>0.05) between FSD and QISS for detecting stenosis greater than 50%. However, FSD showed higher specificities (99% vs. 92%, P<0.05) and diagnostic accuracy (98% vs. 92%, P<0.05) compared to QISS. Conclusion Both FSD and QISS had similar high sensitivity and negative predictive value for detecting calf arteries with over 50% stenosis, but FSD showed slightly higher diagnostic specificity and better depiction of arterial lesions due to its isotropic submillimeter spatial resolution. QISS, being an easier to use and less time-consuming technique, could be a method of choice for rapid screening of arterial disease of the lower extremity.
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Affiliation(s)
- Na Zhang
- Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology of Chinese Academy of Sciences, Shenzhen, China
- Shenzhen Key Laboratory for MRI, Shenzhen Institutes of Advanced Technology of Chinese Academy of Sciences, Shenzhen, China
| | - Liqiu Zou
- Department of Radiology, Peking University Shenzhen Hospital, Shenzhen, China
| | - Yi Huang
- Department of Radiology, Guangzhou Panyu Central Hospital, Guangzhou, China
| | - Dexiang Liu
- Department of Radiology, Guangzhou Panyu Central Hospital, Guangzhou, China
| | - Yukuan Tang
- Department of Radiology, Guangzhou Panyu Central Hospital, Guangzhou, China
| | - Zhaoyang Fan
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States of America
| | - Hanwei Chen
- Department of Radiology, Guangzhou Panyu Central Hospital, Guangzhou, China
- * E-mail: (XL); (HC)
| | - Xin Liu
- Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology of Chinese Academy of Sciences, Shenzhen, China
- Shenzhen Key Laboratory for MRI, Shenzhen Institutes of Advanced Technology of Chinese Academy of Sciences, Shenzhen, China
- * E-mail: (XL); (HC)
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Li G, Zaitsev M, Büchert M, Raithel E, Paul D, Korvink JG, Hennig J. Improving the robustness of 3D turbo spin echo imaging to involuntary motion. MAGNETIC RESONANCE MATERIALS IN PHYSICS BIOLOGY AND MEDICINE 2014; 28:329-45. [DOI: 10.1007/s10334-014-0471-2] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/03/2014] [Revised: 10/14/2014] [Accepted: 10/28/2014] [Indexed: 10/24/2022]
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12
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Fan Z, Yu W, Xie Y, Dong L, Yang L, Wang Z, Conte AH, Bi X, An J, Zhang T, Laub G, Shah PK, Zhang Z, Li D. Multi-contrast atherosclerosis characterization (MATCH) of carotid plaque with a single 5-min scan: technical development and clinical feasibility. J Cardiovasc Magn Reson 2014; 16:53. [PMID: 25184808 PMCID: PMC4222690 DOI: 10.1186/s12968-014-0053-5] [Citation(s) in RCA: 36] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2014] [Accepted: 07/08/2014] [Indexed: 11/21/2022] Open
Abstract
BACKGROUND Multi-contrast weighted imaging is a commonly used cardiovascular magnetic resonance (CMR) protocol for characterization of carotid plaque composition. However, this approach is limited in several aspects including low slice resolution, long scan time, image mis-registration, and complex image interpretation. In this work, a 3D CMR technique, named Multi-contrast Atherosclerosis Characterization (MATCH), was developed to mitigate the above limitations. METHODS MATCH employs a 3D spoiled segmented fast low angle shot readout to acquire data with three different contrast weightings in an interleaved fashion. The inherently co-registered image sets, hyper T1-weighting, gray blood, and T2-weighting, are used to detect intra-plaque hemorrhage (IPH), calcification (CA), lipid-rich necrotic core (LRNC), and loose-matrix (LM). The MATCH sequence was optimized by computer simulations and testing on four healthy volunteers and then evaluated in a pilot study of six patients with carotid plaque, using the conventional multi-contrast protocol as a reference. RESULTS On MATCH images, the major plaque components were easy to identify. Spatial co-registration between the three image sets with MATCH was particularly helpful for the reviewer to discern co-existent components in an image and appreciate their spatial relation. Based on Cohen's kappa tests, moderate to excellent agreement in the image-based or artery-based component detection between the two protocols was obtained for LRNC, IPH, CA, and LM, respectively. Compared with the conventional multi-contrast protocol, the MATCH protocol yield significantly higher signal contrast ratio for IPH (3.1±1.3 vs. 0.4±0.3, p<0.001) and CA (1.6±1.5 vs. 0.7±0.6, p=0.012) with respect to the vessel wall. CONCLUSIONS To the best of our knowledge, the proposed MATCH sequence is the first 3D CMR technique that acquires spatially co-registered multi-contrast image sets in a single scan for characterization of carotid plaque composition. Our pilot clinical study suggests that the MATCH-based protocol may outperform the conventional multi-contrast protocol in several respects. With further technical improvements and large-scale clinical validation, MATCH has the potential to become a CMR method for assessing the risk of plaque disruption in a clinical workup.
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Affiliation(s)
- Zhaoyang Fan
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Wei Yu
- Department of Radiology, Anzhen Hospital, Capital Medical University, Beijing, China
| | - Yibin Xie
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Department of Bioengineering, University of California, Los Angeles, CA, USA
| | - Li Dong
- Department of Radiology, Anzhen Hospital, Capital Medical University, Beijing, China
| | - Lixin Yang
- Department of Radiology, Anzhen Hospital, Capital Medical University, Beijing, China
| | - Zhanhong Wang
- Department of Radiology, Anzhen Hospital, Capital Medical University, Beijing, China
| | | | - Xiaoming Bi
- MR R&D, Siemens Healthcare, Los Angeles, CA, USA
| | - Jing An
- MR Collaborations NE Asia, Siemens Healthcare, Beijing, China
| | - Tianjing Zhang
- MR Collaborations NE Asia, Siemens Healthcare, Beijing, China
| | - Gerhard Laub
- MR R&D, Siemens Healthcare, Los Angeles, CA, USA
| | - Prediman Krishan Shah
- Oppenheimer Atherosclerosis Research Center, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Atherosclerosis Prevention and Management Center, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Zhaoqi Zhang
- Department of Radiology, Anzhen Hospital, Capital Medical University, Beijing, China
| | - Debiao Li
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Department of Bioengineering, University of California, Los Angeles, CA, USA
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Xie Y, Fan Z, Saouaf R, Natsuaki Y, Laub G, Li D. Adaptive online self-gating (ADIOS) for free-breathing noncontrast renal MR angiography. Magn Reson Med 2014; 73:312-7. [PMID: 24478221 DOI: 10.1002/mrm.25121] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2013] [Revised: 12/15/2013] [Accepted: 12/16/2013] [Indexed: 11/11/2022]
Abstract
PURPOSE To develop a respiratory self-gating method, adaptive online self-gating (ADIOS), for noncontrast MR angiography (NC MRA) of renal arteries to overcome some limitations of current free-breathing methods. METHODS A NC MRA pulse sequence for online respiratory self-gating was developed based on three-dimensional balanced steady-state free precession (bSSFP) and slab-selective inversion-recovery. Motion information was derived directly from the slab being imaged for online gating. Scan efficiency was maintained by an automatic adaptive online algorithm. Qualitative and quantitative assessments of image quality were performed and results were compared with conventional diaphragm navigator (NAV). RESULTS NC MRA imaging was successfully completed in all subjects (n = 15). Similarly good image quality was observed in the proximal-middle renal arteries with ADIOS compared with NAV. Superior image quality was observed in the middle-distal renal arteries in the right kidneys with no NAV-induced artifacts. Maximal visible artery length was significantly longer with ADIOS versus NAV in the right kidneys. NAV setup was completely eliminated and scan time was significantly shorter with ADIOS on average compared with NAV. CONCLUSION The proposed ADIOS technique for noncontrast MRA provides high-quality visualization of renal arteries with no diaphragm navigator-induced artifacts, simplified setup, and shorter scan time.
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Affiliation(s)
- Yibin Xie
- University of California, Los Angeles, Department of Bioengineering, Los Angeles, California, USA.,Cedars-Sinai Medical Center, Biomedical Imaging Research Institute, Department of Biomedical Sciences, Los Angeles, California, USA
| | - Zhaoyang Fan
- Cedars-Sinai Medical Center, Biomedical Imaging Research Institute, Department of Biomedical Sciences, Los Angeles, California, USA
| | - Rola Saouaf
- Cedars-Sinai Medical Center, Department of Imaging, Los Angeles, California, USA
| | | | - Gerhard Laub
- Siemens Medical Solutions, Los Angeles, California, USA
| | - Debiao Li
- University of California, Los Angeles, Department of Bioengineering, Los Angeles, California, USA.,Cedars-Sinai Medical Center, Biomedical Imaging Research Institute, Department of Biomedical Sciences, Los Angeles, California, USA
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Dyverfeldt P, Deshpande VS, Kober T, Krueger G, Saloner D. Reduction of motion artifacts in carotid MRI using free-induction decay navigators. J Magn Reson Imaging 2013; 40:214-20. [PMID: 24677562 DOI: 10.1002/jmri.24389] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2013] [Accepted: 07/10/2013] [Indexed: 11/09/2022] Open
Abstract
PURPOSE To develop a framework for prospective free-induction decay (FID)-based navigator gating for suppression of motion artifacts in carotid magnetic resonance imaging (MRI) and to assess its capability in vivo. MATERIALS AND METHODS An FID-navigator, comprising a spatially selective low flip-angle sinc-pulse followed by an analog-to-digital converter (ADC) readout, was added to a conventional turbo spin-echo (TSE) sequence. Real-time navigator processing delivered accept/reject-and-reacquire decisions to the sequence. In this Institutional Review Board (IRB)-approved study, seven volunteers were scanned with a 2D T2-weighted TSE sequence. A reference scan with volunteers instructed to minimize motion as well as nongated and gated scans with volunteers instructed to perform different motion tasks were performed in each subject. Multiple image quality measures were employed to quantify the effect of gating. RESULTS There was no significant difference in lumen-to-wall sharpness (2.3 ± 0.3 vs. 2.3 ± 0.4), contrast-to-noise ratio (CNR) (9.0 ± 2.0 vs. 8.5 ± 2.0), or image quality score (3.1 ± 0.9 vs. 2.6 ± 1.2) between the reference and gated images. For images acquired during motion, all image quality measures were higher (P < 0.05) in the gated compared to nongated images (sharpness: 2.3 ± 0.4 vs. 1.8 ± 0.5, CNR: 8.5 ± 2.0 vs. 7.2 ± 2.0, score: 2.6 ± 1.2 vs. 1.8 ± 1.0). CONCLUSION Artifacts caused by the employed motion tasks deteriorated image quality in the nongated scans. These artifacts were alleviated with the proposed FID-navigator.
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Affiliation(s)
- Petter Dyverfeldt
- Department of Radiology & Biomedical Imaging, University of California San Francisco, San Francisco, California, USA
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