Estimation of a multi-fascicle model from single b-value data with a population-informed prior

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 8149 LNCS, Issue PART 1, 2013, Pages 695-702

  Taquet, Maxime ^a,b   Scherrer, Benoît ^a   Boumal, Nicolas ^b   Macq, Benoît ^b   Warfield, Simon K ^a  

^a HARVARD MEDICAL SCHOOL   (United States)

^b UNIVERSITÉ CATHOLIQUE DE LOUVAIN   (Belgium)

Author keywords

Diffusion; Estimation; Generative Models; Single Shell

Indexed keywords

AUTISM SPECTRUM DISORDERS; FASCICLE ORIENTATIONS; GENERATIVE MODEL; HEALTHY SUBJECTS; MODEL PARAMETERS; POPULATION STUDIES; SINGLE-SHELL; TIME-ACCURATE;

DIFFUSION; DIFFUSION TENSOR IMAGING; DISEASES; ESTIMATION; MAGNETIC RESONANCE IMAGING; TENSORS;

POPULATION STATISTICS;

ALGORITHM; ARTICLE; AUTISM; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; BRAIN; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; DIFFUSION TENSOR IMAGING; HUMAN; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; METHODOLOGY; PATHOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL; THREE DIMENSIONAL IMAGING;

ALGORITHMS; AUTISTIC DISORDER; BRAIN; COMPUTER SIMULATION; DIFFUSION TENSOR IMAGING; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MODELS, NEUROLOGICAL; MODELS, STATISTICAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

EID: 84885694944     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-40811-3_87     Document Type: Conference Paper

References (7)

1. Pasternak, O., Shenton, M.E., Westin, C.-F.: Estimation of extracellular volume from regularized multi-shell diffusion MRI. In: Ayache, N., Delingette, H., Golland, P., Mori, K. (eds.) MICCAI 2012, Part II. LNCS, vol. 7511, pp. 305-312. Springer, Heidelberg (2012)
2. Pasternak, O., Sochen, N., Gur, Y., Intrator, N., Assaf, Y.: Free water elimination and mapping from diffusion MRI. Magnet. Reson. Med. 62(3), 717-730 (2009)
3. Scherrer, B., Warfield, S.K.: Parametric representation of multiple white matter fascicles from cube and sphere diffusion MRI. PLoS one 7(11) e48232 (2012)
4. Schultz, T., Westin, C.-F., Kindlmann, G.: Multi-diffusion-tensor fitting via spherical deconvolution: a unifying framework. In: Jiang, T., Navab, N., Pluim, J.P.W., Viergever, M.A. (eds.) MICCAI 2010, Part I. LNCS, vol. 6361, pp. 674-681. Springer, Heidelberg (2010)
5. Schwartzman, A., Mascarenhas, W.F., Taylor, J.E.: Inference for eigenvalues and eigenvectors of gaussian symmetric matrices. Ann. Stat., 2886-2919 (2008)
6. Taquet, M., Scherrer, B., Benjamin, C., Prabhu, S., Macq, B., Warfield, S.: Interpolating multi-fiber models by gaussian mixture simplification. In: IEEE ISBI, pp. 928-931 (2012)
7. Taquet, M., Scherrer, B., Commowick, O., Peters, J., Sahin, M., Macq, B.,Warfield, S.K.: Registration and analysis of white matter group differences with a multi-fiber model. In: Ayache, N., Delingette, H., Golland, P., Mori, K. (eds.) MICCAI 2012, Part III. LNCS, vol. 7512, pp. 313-320. Springer, Heidelberg (2012)