Title :
ODF reconstruction in q-ball imaging with solid angle consideration
Author :
Aganj, Iman ; Lenglet, Christophe ; Sapiro, Guillermo
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Minnesota, Minneapolis, MN, USA
fDate :
June 28 2009-July 1 2009
Abstract :
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.
Keywords :
biology computing; biomedical imaging; image reconstruction; medical image processing; ODF reconstruction; closed-form expression; high angular resolution diffusion imaging; orientation distribution function; q-ball acquisition protocols; q-ball imaging; solid angle consideration; Distributed computing; Distribution functions; High-resolution imaging; Image reconstruction; Image resolution; Lattices; Magnetic resonance; Magnetic resonance imaging; Solids; Spatial resolution; Orientation distribution function (ODF); high angular resolution diffusion imaging (HARDI); magnetic resonance imaging (MRI); q-ball imaging (QBI); solid angle;
Conference_Titel :
Biomedical Imaging: From Nano to Macro, 2009. ISBI '09. IEEE International Symposium on
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-3931-7
Electronic_ISBN :
1945-7928
DOI :
10.1109/ISBI.2009.5193327