TY - JOUR
T1 - DtiStudio
T2 - Resource program for diffusion tensor computation and fiber bundle tracking
AU - Jiang, Hangyi
AU - Van Zijl, Peter C.M.
AU - Kim, Jinsuh
AU - Pearlson, Godfrey D.
AU - Mori, Susumu
N1 - Funding Information:
This study was supported in part by NCRR resource grant P41 RR15241 (SM, PVZ). Dr. van Zijl is a paid lecturer for Philips Medical Systems. This arrangement has been approved by Johns Hopkins University in accordance with its conflict of interest policies.
PY - 2006/2
Y1 - 2006/2
N2 - A versatile resource program was developed for diffusion tensor image (DTI) computation and fiber tracking. The software can read data formats from a variety of MR scanners. Tensor calculation is performed by solving an over-determined linear equation system using least square fitting. Various types of map data, such as tensor elements, eigenvalues, eigenvectors, diffusion anisotropy, diffusion constants, and color-coded orientations can be calculated. The results are visualized interactively in orthogonal views and in three-dimensional mode. Three-dimensional tract reconstruction is based on the Fiber Assignment by Continuous Tracking (FACT) algorithm and a brute-force reconstruction approach. To improve the time and memory efficiency, a rapid algorithm to perform the FACT is adopted. An index matrix for the fiber data is introduced to facilitate various types of fiber bundles selection based on approaches employing multiple regions of interest (ROIs). The program is developed using C++ and OpenGL on a Windows platform.
AB - A versatile resource program was developed for diffusion tensor image (DTI) computation and fiber tracking. The software can read data formats from a variety of MR scanners. Tensor calculation is performed by solving an over-determined linear equation system using least square fitting. Various types of map data, such as tensor elements, eigenvalues, eigenvectors, diffusion anisotropy, diffusion constants, and color-coded orientations can be calculated. The results are visualized interactively in orthogonal views and in three-dimensional mode. Three-dimensional tract reconstruction is based on the Fiber Assignment by Continuous Tracking (FACT) algorithm and a brute-force reconstruction approach. To improve the time and memory efficiency, a rapid algorithm to perform the FACT is adopted. An index matrix for the fiber data is introduced to facilitate various types of fiber bundles selection based on approaches employing multiple regions of interest (ROIs). The program is developed using C++ and OpenGL on a Windows platform.
KW - Diffusion tensor imaging
KW - Fiber tractography
KW - Magnetic resonance imaging (MRI)
KW - Medical image visualization
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U2 - 10.1016/j.cmpb.2005.08.004
DO - 10.1016/j.cmpb.2005.08.004
M3 - Article
C2 - 16413083
AN - SCOPUS:31344441424
SN - 0169-2607
VL - 81
SP - 106
EP - 116
JO - Computer Methods and Programs in Biomedicine
JF - Computer Methods and Programs in Biomedicine
IS - 2
ER -