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] Ex vivo 3D diffusion tensor imaging and quantification of cardiac laminar structure
    Helm, PA
    Tseng, HJ
    Younes, L
    McVeigh, ER
    Winslow, RL
    MAGNETIC RESONANCE IN MEDICINE, 2005, 54 (04) : 850 - 859
  • [22] Contribution of cardiac-induced brain pulsation to the noise of the diffusion tensor in turboprop diffusion tensor imaging (DTI)
    Gui, Minzhi
    Tamhane, Ashish A.
    Arfanakis, Konstantinos
    JOURNAL OF MAGNETIC RESONANCE IMAGING, 2008, 27 (05) : 1164 - 1168
  • [23] Diffusion and Diffusion Tensor Imaging in Brain Cancer
    Gerstner, Elizabeth R.
    Sorensen, A. Gregory
    SEMINARS IN RADIATION ONCOLOGY, 2011, 21 (02) : 141 - 146
  • [24] In Vivo Assessment of Peripheral Nerve Regeneration by Diffusion Tensor Imaging
    Morisaki, Shinsuke
    Kawai, Yuko
    Umeda, Masahiro
    Nishi, Mayumi
    Oda, Ryo
    Fujiwara, Hiroyoshi
    Yamada, Kei
    Higuchi, Toshihiro
    Tanaka, Chuzo
    Kawata, Mitsuhiro
    Kubo, Toshikazu
    JOURNAL OF MAGNETIC RESONANCE IMAGING, 2011, 33 (03) : 535 - 542
  • [25] Postnatal brain development in rats: In vivo diffusion tensor imaging
    Narayana, P.
    Bockhorst, K.
    Ahobila, P.
    Ramu, J.
    Perez-Polo, J. R.
    INTERNATIONAL JOURNAL OF DEVELOPMENTAL NEUROSCIENCE, 2006, 24 (08) : 483 - 483
  • [26] A diffusion tensor imaging tractography atlas for virtual in vivo dissections
    Catani, Marco
    Thiebaut de Schotten, Michel
    CORTEX, 2008, 44 (08) : 1105 - 1132
  • [27] Generalized diffusion tensor imaging and analytical relationships between diffusion tensor imaging and high angular resolution diffusion imaging
    Özarslan, E
    Mareci, TH
    MAGNETIC RESONANCE IN MEDICINE, 2003, 50 (05) : 955 - 965
  • [28] Optimal diffusion tensor indices for imaging the human spinal cord
    Ellingson, Benjamin M.
    Ulmer, John L.
    Schmit, Brian D.
    Biomedical Sciences Instrumentation, Vol 43, 2007, 43 : 128 - 133
  • [29] Optimal real-time estimation in diffusion tensor imaging
    Casaseca-de-la-Higuera, Pablo
    Tristan-Vega, Antonio
    Aja-Fernandez, Santiago
    Alberola-Lopez, Carlos
    Westin, Carl-Fredrik
    San Jose Estepar, Raul
    MAGNETIC RESONANCE IMAGING, 2012, 30 (04) : 506 - 517
  • [30] Optimal Gradient Encoding Schemes for Diffusion Tensor and Kurtosis Imaging
    Alipoor, Mohammad
    Gu, Irene Yu-Hua
    Maier, Stephan E.
    Starck, Goran
    Mehnert, Andrew
    Kahl, Fredrik
    IEEE TRANSACTIONS ON COMPUTATIONAL IMAGING, 2016, 2 (03): : 375 - 391