TY - GEN
T1 - ODF reconstruction in Q-ball imaging with solid angle consideration
AU - Aganj, Iman
AU - Lenglet, Christophe
AU - Sapiro, Guillermo
PY - 2009
Y1 - 2009
N2 - Q-ball imaging (QBI) is a high angular resolution diffusion imaging (HARDI) technique which has been proven very successful in resolving multiple intravoxel fiber orientations in MR images. The standard computation of the orientation distribution function (ODF, the probability of diffusion in a given direction) from q-ball uses linear radial projection, neglecting the change in the volume element along the ray, thereby resulting in distributions different from the true ODFs. For instance, they are not normalized or as sharp as expected, and generally require post-processing, such as sharpening or spherical deconvolution. In this paper, we consider the mathematically correct definition of the ODF and derive a closed-form expression for it in QBI. The derived ODF is dimensionless and normalized, and can be efficiently computed from q-ball acquisition protocols. We describe our proposed method and demonstrate its significantly improved performance on artificial data and real HARDI volumes.
AB - Q-ball imaging (QBI) is a high angular resolution diffusion imaging (HARDI) technique which has been proven very successful in resolving multiple intravoxel fiber orientations in MR images. The standard computation of the orientation distribution function (ODF, the probability of diffusion in a given direction) from q-ball uses linear radial projection, neglecting the change in the volume element along the ray, thereby resulting in distributions different from the true ODFs. For instance, they are not normalized or as sharp as expected, and generally require post-processing, such as sharpening or spherical deconvolution. In this paper, we consider the mathematically correct definition of the ODF and derive a closed-form expression for it in QBI. The derived ODF is dimensionless and normalized, and can be efficiently computed from q-ball acquisition protocols. We describe our proposed method and demonstrate its significantly improved performance on artificial data and real HARDI volumes.
KW - High angular resolution diffusion imaging (HARDI)
KW - Magnetic resonance imaging (MRI)
KW - Orientation distribution function (ODF)
KW - Qball imaging (QBI)
KW - Solid angle
UR - http://www.scopus.com/inward/record.url?scp=70449435196&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=70449435196&partnerID=8YFLogxK
U2 - 10.1109/ISBI.2009.5193327
DO - 10.1109/ISBI.2009.5193327
M3 - Conference contribution
C2 - 25789084
AN - SCOPUS:70449435196
SN - 9781424439324
T3 - Proceedings - 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009
SP - 1398
EP - 1401
BT - Proceedings - 2009 IEEE International Symposium on Biomedical Imaging
T2 - 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009
Y2 - 28 June 2009 through 1 July 2009
ER -