Interpretation of diffusion MR imaging data using a gamma distribution model

Magnetic Resonance in Medical Sciences

Volumn 13, Issue 3, 2014, Pages 191-195

  Oshio, Koichi ^a   Shinmoto, Hiroshi ^b   Mulkern, Robert V ^c  

^a KEIO UNIVERSITY SCHOOL OF MEDICINE   (Japan)

^b NATIONAL DEFENSE MEDICAL COLLEGE   (Japan)

^c HARVARD MEDICAL SCHOOL   (United States)

Author keywords

Bi exponential model; Diffusion MRI; Non Gaussian diffusion; Statistical model

Indexed keywords

COMPUTER ASSISTED DIAGNOSIS; DIFFUSION WEIGHTED IMAGING; HUMAN; MALE; PATHOLOGY; PROCEDURES; PROSTATE; PROSTATIC NEOPLASMS; REPRODUCIBILITY; STATISTICAL MODEL; STATISTICS AND NUMERICAL DATA;

DIFFUSION MAGNETIC RESONANCE IMAGING; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MALE; MODELS, STATISTICAL; PROSTATE; PROSTATIC NEOPLASMS; REPRODUCIBILITY OF RESULTS;

EID: 84908037674     PISSN: 13473182     EISSN: 18802206     Source Type: Journal    
DOI: 10.2463/mrms.2014-0016     Document Type: Article

References (10)

1. Budde MD, Frank JA. Neurite beading is sufficient to decrease the apparent diffusion coefficient after ischemic stroke. Proc Natl Acad Sci USA 2010; 107:14472-14477.
2. Zhao L, Sukstanskii AL, Kroenke CD, et al. Intracellular water specific MR of microbead-adherent cells: HeLa cell intracellular water diffusion. Magn Reson Med 2008; 59:79-84.
3. Mulkern RV, Haker SJ, Maier SE. On high b diffusion imaging in the human brain: ruminations and experimental insights. Magn Reson Imaging 2009; 27:1151-1162.
4. Shinmoto H, Oshio K, Tanimoto A, et al. Biexponential apparent diffusion coefficients in prostate cancer. Magn Reson Imaging 2009; 27:355-359.
5. Yablonskiy DA, Bretthorst GL, Ackerman JJ. Statistical model for diffusion attenuated MR signal. Magn Reson Med 2003; 50:664-669.
6. Yablonskiy DA, Sukstanskii AL. Theoretical models of the diffusion weighted MR signal. NMR Biomed 2010; 23:661-681.
7. Jensen JH, Helpern JA. MRI quantification of non-Gaussian water diffusion by kurtosis analysis. NMR Biomed 2010; 23:698-710.
8. Jian B, Vemuri BC, Ozarslan E, Carney PR, Mareci TH. A novel tensor distribution model for the diffusion-weighted MR signal. Neuroimage 2007; 37: 164-176.
9. Shinmoto H, Tamura C, Soga S, et al. An intravoxel incoherent motion diffusion-weighted imaging study of prostate cancer. AJR Am J Roentgenol 2012; 199: W496-500.
10. Oshio K. Reliability of bi-exponential parameter estimation, Proc Intl Soc Magn Reson Med 2011; 3583.