Searched for: person:gg87
MICCAI: Medical Image Computing and Computer-Assisted Intervention
Sato, Yoshinobu; Gerig, Guido; Baum, Stanley
SCOPUS:0346122793
ISSN: 1076-6332
CID: 4942172
Robust estimation for brain tumor segmentation
Chapter by: Prastawa, Marcel; Bullitt, Elizabeth; Ho, Sean; Gerig, Guido
in: Lecture Notes in Computer Science by
[S.l.] : Springer Verlag, 2003
pp. 530-537
ISBN:
CID: 4942192
Analysis tool for diffusion tensor MRI [Meeting Abstract]
Fillard, P; Gerig, G; Ellis, RE; Peters, TM
Diffusion Tenser Imaging (DTI) is becoming a routine magnetic resonance technique to study white matter properties and alterations of fiber integrity due to pathology. The advanced MRI technique needs postprocessing by adequate image analysis and visualization tools. Whereas such tools have been developed at various research centers to drive methodological and clinical research, they have not become widely available as software freely distributed to the community. We have developed an integrated software package for efficient processing, fiber tracking, and interactive visualization of DTI data. This allows even non-experts to explore DTI data and to obtain results that so far were exclusive to reseach teams with strong computer science support. This report describes our effort to combine common, well-established processing methods for DTI data, a recently developed powerful fiber tracking method and a modern image analysis and visualization environment into an integrated tool.
ISI:000188180400126
ISSN: 0302-9743
CID: 1782532
Quantitative analysis of white matter fiber properties along geodesic paths [Meeting Abstract]
Fillard, P; Gilmore, J; Piven, J; Lin, WL; Gerig, G; Ellis, RE; Peters, TM
Diffusion Tenser Imaging (DTI) is becoming a routine magnetic resonance technique to study white matter properties and alterations of fiber integrity due to pathology. The advanced MRI technique needs postprocessing by adequate image processing and visualization tools. Analysis of DTI in clinical studies so far use manual definition of regions or interest or image matching followed by voxel-based analysis. This paper presents a novel concept that extracts major fiber bundles by tractography and provides a statistical analysis of diffusion properties along fibers, i.e. geodesic paths within the three-dimensional brain image. Fiber tracing thus serves as a sophisticated, efficient method for defining complex regions of interests along major fiber tracts not accessible otherwise. Fiber bundles extracted from a set of subjects are parametrized by arc-length and mapped to a common coordinate system centered at well-defined anatomical landmarks. The description of the methodology is guided by the example of measuring diffusion properties along the left and right cingulate. We also present preliminary results from an ongoing clinical neonatal study that studies early brain development.
ISI:000188180400003
ISSN: 0302-9743
CID: 1782522
Scale-Space on Image Profiles about an Object Boundary
Chapter by: Ho, Sean; Gerig, Guido
in: Scale space methods in computer vision by Griffin, Lewis D; Lillholm, Martin [Eds]
New York [etc.] : Springer, 2003
pp. 564-575
ISBN: 9783540403685
CID: 1783852
Boundary and medial shape analysis of the hippocampus in schizophrenia [Meeting Abstract]
Styner, M; Lieberman, JA; Gerig, G
ISI:000188180400057
ISSN: 0302-9743
CID: 1783162
Robust estimation for brain tumor segmentation [Meeting Abstract]
Prastawa, M; Bullitt, E; Ho, S; Gerig, G
ISI:000188180400065
ISSN: 0302-9743
CID: 1783172
Age and treatment related local hippocampal changes in schizophrenia explained by a novel shape analysis method [Meeting Abstract]
Gerig, G; Muller, KE; Kistner, EO; Chi, YY; Chakos, M; Styner, M; Lieberman, JA
ISI:000188180400080
ISSN: 0302-9743
CID: 1783182
Assessing early brain development in neonates by segmentation of high-resolution 3T MRI [Meeting Abstract]
Gerig, G; Prastawa, M; Lin, WL; Gilmore, J
ISI:000188180400132
ISSN: 0302-9743
CID: 1783192
Caudate shape discrimination in schizophrenia using template-free nonparametric tests
Vetsa, Y.S.K.; Styner, M.; Pizer, S.M.; Lieberman, J.A.; Gerig, G.
INSPEC:7985083
ISSN: 0302-9743
CID: 1783572