The accuracy and efficiency of protocols to measure intracranial volume (ICV) from
volumetric magnetic resonance imaging (MRI) studies has not been formally analyzed. The …

Reconstructing the geometry of the human cerebral cortex from MR images is an important
step in both brain mapping and surgical path planning applications. Difficulties with imaging …

Brain tumor analysis plays an important role in medical imaging applications and in
delivering a huge amount of anatomical and functional information, which increases and …

Evaluation of segmentation methods is a crucial aspect in image processing, especially in
the medical imaging field, where small differences between segmented regions in the …

In this research report, we present a general scheme for building entirely automatically a
morphometric anatomical atlas from 3D medical images (CT-Scan, Magnetic Resonance …

BACKGROUND: Overall neocortical gray matter (NCGM) volume has not been studied in
first-episode schizophrenia (FESZ) at first hospitalization or longitudinally to evaluate …

Image segmentation consists in partitioning an image into different regions. MRI image
segmentation is especially interesting, since an accurate segmentation of the different brain …

Segmentation is an essential preprocessing step in techniques for image analysis. The
automatic segmentation of brain magnetic resonance imaging has been exhaustively …

Extraction of the brain—ie cerebrum, cerebellum, and brain stem—from T1-weighted
structural magnetic resonance images is an important initial step in neuroimage analysis …

Automatic medical image segmentation is an unsolved problem that has captured the
attention of many researchers. The purpose of this survey is to identify a representative set of …