Optimal diffusion weighting for in vivo cardiac diffusion tensor imaging

被引:47
作者
Scott, Andrew D. [1 ,2 ]
Ferreira, Pedro F. A. D. C. [1 ,2 ]
Nielles-Vallespin, Sonia [1 ,3 ]
Gatehouse, Peter [1 ,2 ]
McGill, Laura-Ann [1 ,2 ]
Kilner, Philip [1 ,2 ]
Pennell, Dudley J. [1 ,2 ]
Firmin, David N. [1 ,2 ]
机构
[1] Royal Brompton Hosp, NIHR Cardiovasc Biomed Res Unit, London SW3 6NP, England
[2] Univ London Imperial Coll Sci Technol & Med, Natl Heart & Lung Inst, London, England
[3] NHLBI, NIH, Bethesda, MD 20892 USA
关键词
DTI; diffusion weighting; b-value; cardiac diffusion; microvascular perfusion; MAGNETIC-RESONANCE; HYPERTROPHIC CARDIOMYOPATHY; MYOCARDIAL MICROSTRUCTURE; WATER DIFFUSION; B-VALUE; MRI; STRAIN; MOTION; NOISE; HEART;
D O I
10.1002/mrm.25418
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
PurposeTo investigate the influence of the diffusion weighting on in vivo cardiac diffusion tensor imaging (cDTI) and obtain optimal parameters. MethodsTen subjects were scanned using stimulated echo acquisition mode echo planar imaging with six b-values, from 50 to 950 smm(-2), plus b=15 smm(-2) reference. The relationship between b-value and both signal loss and signal-to-noise ratio measures was investigated. Mean diffusivity, fractional anisotropy, and helical angle maps were calculated using all possible b-value pairs to investigate the effects of diffusion weighting on the main and reference data. ResultsSignal decay at low b-values was dominated by processes with high apparent diffusion coefficients, most likely microvascular perfusion. This effect could be avoided by diffusion weighting of the reference images. Parameter maps were improved with increased b-value until the diffusion-weighted signal approached the noise floor. For the protocol used in this study, b=750 smm(-2) combined with 150 smm(-2) diffusion weighting of the reference images proved optimal. ConclusionMean diffusivity, fractional anisotropy, and helical angle from cDTI are influenced by the b-value of the main and reference data. Using optimal values improves parameter maps and avoids microvascular perfusion effects. This optimized protocol should provide greater sensitivity to pathological changes in parameter maps. Magn Reson Med 74:420-430, 2015. (c) 2014 Wiley Periodicals, Inc.
引用
收藏
页码:420 / 430
页数:11
相关论文
共 50 条
  • [21] Comparison of three denoising methods for cardiac diffusion tensor imaging
    Xu, Xi
    Liu, Shengping
    Guo, Muzi
    Zhu, Yanjie
    Chen, Rui
    Yang, Yuxin
    2020 5TH INTERNATIONAL CONFERENCE ON MECHANICAL, CONTROL AND COMPUTER ENGINEERING (ICMCCE 2020), 2020, : 2350 - 2353
  • [22] Early Identification of Myocardial Microstructural Alterations in Hypertrophic Cardiomyopathy with in Vivo Cardiac Diffusion-Tensor Imaging
    Dong, Zhixiang
    Tang, Yun
    Sun, Peng
    Yin, Gang
    Zhao, Kankan
    Ma, Xuan
    Yang, Shujuan
    Wang, Jiaxin
    Xiang, Xiaorui
    Yang, Kai
    Lu, Minjie
    Chen, Xiuyu
    Zhu, Yanjie
    Zhao, Shihua
    RADIOLOGY-CARDIOTHORACIC IMAGING, 2025, 7 (01):
  • [23] Motion-compensated b-tensor encoding for in vivo cardiac diffusion-weighted imaging
    Lasic, Samo
    Szczepankiewicz, Filip
    Dall'Armellina, Erica
    Das, Arka
    Kelly, Christopher
    Plein, Sven
    Schneider, Jurgen E.
    Nilsson, Markus
    Teh, Irvin
    NMR IN BIOMEDICINE, 2020, 33 (02)
  • [24] Minimization of Imaging Gradient Effects in Diffusion Tensor Imaging
    Oezcan, Alpay
    IEEE TRANSACTIONS ON MEDICAL IMAGING, 2011, 30 (03) : 642 - 654
  • [25] Diffusion tensor imaging in schizophrenia
    Kanaan, RAA
    Kim, JS
    Kaufmann, WE
    Pearlson, GD
    Barker, GJ
    McGuire, PK
    BIOLOGICAL PSYCHIATRY, 2005, 58 (12) : 921 - 929
  • [26] Characterizing patterns of diffusion tensor imaging variance in aging brains
    Gao, Chenyu
    Yang, Qi
    Kim, Michael E.
    Khairi, Nazirah Mohd
    Cai, Leon Y.
    Newlin, Nancy R.
    Kanakaraj, Praitayini
    Remedios, Lucas W.
    Krishnan, Aravind R.
    Yu, Xin
    Yao, Tianyuan
    Zhang, Panpan
    Schilling, Kurt G.
    Moyer, Daniel
    Archer, Derek B.
    Resnick, Susan M.
    Landman, Bennett A.
    JOURNAL OF MEDICAL IMAGING, 2024, 11 (04)
  • [27] Diffusion Tensor Cardiovascular Magnetic Resonance Imaging A Clinical Perspective
    Khalique, Zohya
    Ferreira, Pedro F.
    Scott, Andrew D.
    Nielles-Vallespin, Sonia
    Firmin, David N.
    Pennell, Dudley J.
    JACC-CARDIOVASCULAR IMAGING, 2020, 13 (05) : 1235 - 1255
  • [28] Optimal preservation of porcine cardiac tissue prior to diffusion tensor magnetic resonance imaging
    Agger, Peter
    Lass, Thomas
    Smerup, Morten
    Frandsen, Jesper
    Pedersen, Michael
    JOURNAL OF ANATOMY, 2015, 227 (05) : 695 - 701
  • [29] Articular Cartilage: In Vivo Diffusion-Tensor Imaging
    Raya, Jose G.
    Horng, Annie
    Dietrich, Olaf
    Krasnokutsky, Svetlana
    Beltran, Luis S.
    Storey, Pippa
    Reiser, Maximilian F.
    Recht, Michael P.
    Sodickson, Daniel K.
    Glaser, Christian
    RADIOLOGY, 2012, 262 (02) : 550 - 559
  • [30] Diffusion tensor imaging and histology of developing hearts
    Abdullah, Osama M.
    Seidel, Thomas
    Dahl, MarJanna
    Gomez, Arnold David
    Yiep, Gavin
    Cortino, Julia
    Sachse, Frank B.
    Albertine, Kurt H.
    Hsu, Edward W.
    NMR IN BIOMEDICINE, 2016, 29 (10) : 1338 - 1349