Quantitative Assessment of DTI-Based Muscle Fiber Tracking and Optimal Tracking Parameters

被引:79
作者
Heemskerk, Anneriet M. [1 ,2 ,3 ]
Sinha, Tuhin K. [1 ,2 ,3 ]
Wilson, Kevin J. [1 ]
Ding, Zhaohua [1 ,2 ,3 ,4 ,5 ,6 ]
Damon, Bruce M. [1 ,2 ,3 ,5 ,6 ,7 ]
机构
[1] Vanderbilt Univ, Inst Imaging Sci, Nashville, TN 37232 USA
[2] Vanderbilt Univ, Dept Radiol, Nashville, TN 37232 USA
[3] Vanderbilt Univ, Dept Radiol Sci, Nashville, TN 37232 USA
[4] Vanderbilt Univ, Dept Elect & Comp Engn, Nashville, TN 37232 USA
[5] Vanderbilt Univ, Dept Biomed Engn, Nashville, TN 37232 USA
[6] Vanderbilt Univ, Program Chem & Phys Biol, Nashville, TN 37232 USA
[7] Vanderbilt Univ, Dept Mol Physiol & Biophys, Nashville, TN 37232 USA
关键词
muscle architecture; human MRI; tractography; DIFFUSION; STRATEGIES; ANISOTROPY;
D O I
10.1002/mrm.21819
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
Diffusion tensor imaging-based fiber tracking in skeletal muscle has been used to reconstruct and quantify muscle architecture. In addition, the consistent pattern of muscle fiber geometry enables a quantitative assessment of the fiber tracking. This work describes a method to determine the accuracy of individual muscle fiber tracts based on the location at which the fibers terminate, the fiber path, and similarity to the neighboring fibers. In addition, the effect of different stop criteria settings on this quantitative assessment was investigated. Fiber tracking was performed on the tibialis anterior muscle of nine healthy subjects. Complete fiber tracts covered 89.4 +/- 9.6% and 75.0 +/- 15.2% of the aponeurosis area in the superficial and deep compartments, respectively. Applications of the method include the exclusion of erroneous fiber-tracking results, quantitative assessment of data set quality, and the assessment of fiber-tracking stop criteria. Magn Reson Med 61:467-472, 2009. (C) 2009 Wiley-Liss, Inc.
引用
收藏
页码:467 / 472
页数:6
相关论文
共 21 条
[1]   Validation of diffusion tensor MRI-based muscle fiber tracking [J].
Damon, BM ;
Ding, ZH ;
Anderson, AW ;
Freyer, AS ;
Gore, JC .
MAGNETIC RESONANCE IN MEDICINE, 2002, 48 (01) :97-104
[2]  
DAMON BM, MRM IN PRESS
[3]   Measurement of signal-to-noise ratios in MR images: Influence of multichannel coils, parallel imaging, and reconstruction filters [J].
Dietrich, Olaf ;
Raya, Jose G. ;
Reeder, Scott B. ;
Reiser, Maximilian F. ;
Schoenberg, Stefan O. .
JOURNAL OF MAGNETIC RESONANCE IMAGING, 2007, 26 (02) :375-385
[4]   Determination of mouse skeletal muscle architecture using three-dimensional diffusion tensor imaging [J].
Heemskerk, AM ;
Strijkers, GJ ;
Vilanova, A ;
Drost, MR ;
Nicolay, K .
MAGNETIC RESONANCE IN MEDICINE, 2005, 53 (06) :1333-1340
[5]   Diffusion tensor MRI assessment of skeletal muscle architecture [J].
Heemskerk, Anneriet M. ;
Damon, Bruce M. .
CURRENT MEDICAL IMAGING REVIEWS, 2007, 3 (03) :152-160
[6]   Skeletal muscle degeneration and regeneration after femoral artery ligation in mice: Monitoring with diffusion MR imaging [J].
Heemskerk, Anneriet M. ;
Strijkers, Gustav J. ;
Drost, Maarten R. ;
van Bochove, Glenda S. ;
Nicolay, Klaas .
RADIOLOGY, 2007, 243 (02) :413-421
[7]   Mean diffusivity, fractional anisotropy maps, and three-dimensional white-matter tractography by diffusion tensor imaging. Comparison between single-shot fast spin-echo and single-shot echo-planar sequences at 1.5 Tesla [J].
Hori, Masaaki ;
Ishigame, Keiichi ;
Shiraga, Nobuyuki ;
Kumagai, Hiroshi ;
Aoki, Shigeki ;
Araki, Tsutomu .
EUROPEAN RADIOLOGY, 2008, 18 (04) :830-834
[8]  
Jones DK, 1999, MAGNET RESON MED, V42, P515, DOI 10.1002/(SICI)1522-2594(199909)42:3<515::AID-MRM14>3.0.CO
[9]  
2-Q
[10]   Quantitative diffusion tensor MRI-based fiber tracking of human skeletal muscle [J].
Lansdown, Drew A. ;
Ding, Zhaohua ;
Wadington, Megan ;
Hornberger, Jennifer L. ;
Damon, Bruce M. .
JOURNAL OF APPLIED PHYSIOLOGY, 2007, 103 (02) :673-681