TY - GEN
T1 - Brain ventricular morphology analysis using a set of ventricular-specific feature descriptors
AU - Kim, Jaeil
AU - Ryoo, Hojin
AU - Valdés Hernández, Maria del C.
AU - Royle, Natalie A.
AU - Park, Jinah
N1 - Publisher Copyright:
© Springer International Publishing Switzerland 2014.
PY - 2014
Y1 - 2014
N2 - Morphological changes of the brain lateral ventricles are known to be a marker of brain atrophy. Anatomically, each lateral ventricle has three horns, which extend into the different parts (i.e. frontal, occipital and temporal lobes) of the brain; their deformations can be associated with morphological alterations of the surrounding structures and they are revealed as complex patterns of their shape variations across subjects. In this paper, we propose a novel approach for the ventricular morphometry using structural feature descriptors, defined on the 3D shape model of the lateral ventricles, to characterize its shape, namely width, length and bending of individual horns and relative orientations between horns. We also demonstrate the descriptive ability of our feature-based morphometry through statistical analyses on a clinical dataset from a study of aging.
AB - Morphological changes of the brain lateral ventricles are known to be a marker of brain atrophy. Anatomically, each lateral ventricle has three horns, which extend into the different parts (i.e. frontal, occipital and temporal lobes) of the brain; their deformations can be associated with morphological alterations of the surrounding structures and they are revealed as complex patterns of their shape variations across subjects. In this paper, we propose a novel approach for the ventricular morphometry using structural feature descriptors, defined on the 3D shape model of the lateral ventricles, to characterize its shape, namely width, length and bending of individual horns and relative orientations between horns. We also demonstrate the descriptive ability of our feature-based morphometry through statistical analyses on a clinical dataset from a study of aging.
UR - http://www.scopus.com/inward/record.url?scp=84911434738&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-12057-7_16
DO - 10.1007/978-3-319-12057-7_16
M3 - Conference contribution
AN - SCOPUS:84911434738
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 141
EP - 149
BT - Biomedical Simulation - 6th International Symposium, ISBMS 2014, Proceedings
A2 - Bello, Fernando
A2 - Cotin, Stéphane
A2 - Cotin, Stéphane
PB - Springer Verlag
T2 - 6th International Symposium on Biomedical Simulation, ISBMS 2014
Y2 - 16 October 2014 through 17 October 2014
ER -