Information Processing in Medical Imaging

A framework is presented for designing and evaluating bioelasticity imaging systems.

[1]  Richard M. Leahy,et al.  Surface-based labeling of cortical anatomy using a deformable atlas , 1997, IEEE Transactions on Medical Imaging.

[2]  G. Lohmann,et al.  Sulcal basins and sulcal strings as new concepts for describing the human cortical topography , 1998, Proceedings. Workshop on Biomedical Image Analysis (Cat. No.98EX162).

[3]  A. Galaburda,et al.  Topographical variation of the human primary cortices: implications for neuroimaging, brain mapping, and neurobiology. , 1993, Cerebral cortex.

[4]  Paul M. Thompson,et al.  A surface-based technique for warping three-dimensional images of the brain , 1996, IEEE Trans. Medical Imaging.

[5]  James S. Duncan,et al.  A Robust Point Matching Algorithm for Autoradiograph Alignment , 1996, VBC.

[6]  C. Goodall Procrustes methods in the statistical analysis of shape , 1991 .

[7]  Nicholas Ayache,et al.  Application of an Automatically Built 3D Morphometric Brain Atlas: Study of Cerebral Ventricle Shape , 1996, VBC.

[8]  Guido Gerig,et al.  Segmentation of 2-D and 3-D objects from MRI volume data using constrained elastic deformations of flexible Fourier contour and surface models , 1996, Medical Image Anal..

[9]  Anand Rangarajan,et al.  The Softassign Procrustes Matching Algorithm , 1997, IPMI.

[10]  James S. Duncan,et al.  Rigid point feature registration using mutual information , 1999, Medical Image Anal..

[11]  Colin Studholme,et al.  An overlap invariant entropy measure of 3D medical image alignment , 1999, Pattern Recognit..

[12]  Arthur W. Toga,et al.  A Probabilistic Atlas of the Human Brain: Theory and Rationale for Its Development The International Consortium for Brain Mapping (ICBM) , 1995, NeuroImage.

[13]  D. Louis Collins,et al.  Non-linear Cerebral Registration with Sulcal Constraints , 1998, MICCAI.

[14]  D R Fish,et al.  The demonstration of gyral abnormalities in patients with cryptogenic partial epilepsy using three-dimensional MRI. , 1996, Archives of neurology.

[15]  Steven Gold,et al.  A Framework for Non-rigid Matching and Correspondence , 1995, NIPS.

[16]  R. Redner,et al.  Mixture densities, maximum likelihood, and the EM algorithm , 1984 .

[17]  R A Robb,et al.  Interactive display and analysis of 3-D medical images. , 1989, IEEE transactions on medical imaging.

[18]  Marinette Revenu,et al.  Morphometry and Identification of Brain Sulci on Three-Dimensional MR Images , 1995 .

[19]  Nicholas Ayache,et al.  A General Scheme for Automatically Building 3D Morphometric Anatomical Atlases: application to a Sku , 1995 .

[20]  Paul J. Besl,et al.  A Method for Registration of 3-D Shapes , 1992, IEEE Trans. Pattern Anal. Mach. Intell..

[21]  Eric Mjolsness,et al.  New Algorithms for 2D and 3D Point Matching: Pose Estimation and Correspondence , 1998, NIPS.

[22]  A. Toga,et al.  Three-Dimensional Statistical Analysis of Sulcal Variability in the Human Brain , 1996, The Journal of Neuroscience.

[23]  Gunilla Borgefors,et al.  Hierarchical Chamfer Matching: A Parametric Edge Matching Algorithm , 1988, IEEE Trans. Pattern Anal. Mach. Intell..

[24]  C. Davatzikos,et al.  Finding 3D parametric representations of the deep cortical folds , 1996, Proceedings of the Workshop on Mathematical Methods in Biomedical Image Analysis.

[25]  Timothy F. Cootes,et al.  Active Shape Models-Their Training and Application , 1995, Comput. Vis. Image Underst..

[26]  Michael S. Gazzaniga,et al.  Surface Area of Human Cerebral Cortex and Its Gross Morphological Subdivisions: In Vivo Measurements in Monozygotic Twins Suggest Differential Hemisphere Effects of Genetic Factors , 1995, Journal of Cognitive Neuroscience.

[27]  Jean-Philippe Thirion,et al.  Fast Non-Rigid Matching of 3D Medical Images , 1995 .

[28]  D. Louis Collins,et al.  Automatic 3‐D model‐based neuroanatomical segmentation , 1995 .

[29]  J. Rambo,et al.  Platform for Visualization and Measurement of Gray Matter Volume and Surface Area within Discrete Cortical Regions from MR Images , 1998, NeuroImage.

[30]  Fred L. Bookstein,et al.  Principal Warps: Thin-Plate Splines and the Decomposition of Deformations , 1989, IEEE Trans. Pattern Anal. Mach. Intell..

[31]  Michael I. Miller,et al.  Volumetric transformation of brain anatomy , 1997, IEEE Transactions on Medical Imaging.

[32]  Christos Davatzikos,et al.  Spatial Transformation and Registration of Brain Images Using Elastically Deformable Models , 1997, Comput. Vis. Image Underst..

[33]  David S. Johnson,et al.  Computers and Intractability: A Guide to the Theory of NP-Completeness , 1978 .

[34]  K. Zilles,et al.  Brain atlases - a new research tool , 1994, Trends in Neurosciences.