scispace - formally typeset
Proceedings ArticleDOI

Interactive 3-D segmentation

TLDR
An interactive segmentation method is described that circumvents this difficulty by using low level segmentation tools, which are interactively controlled by a human user via 3-D display, which delivers good results in only a short amount of time.
Abstract
Segmentation is a prerequisite for 3-D visualization of image volumes. It has turned out to be extremely difficult to formalize for automatic computation. We describe an interactive segmentation method that circumvents this difficulty by using low level segmentation tools, which are interactively controlled by a human user via 3-D display. Segmentation tools implemented so far are simple thresholding and morphological operations. The method has been implemented on a workstation under UNIX using an X-Window interface based on the OSF/MOTIF toolkit. It is shown with examples from different applications that this simple approach delivers good results in only a short amount of time.© (1992) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.

read more

Citations
More filters
Journal ArticleDOI

Volumetric analysis of frontal lobe regions in schizophrenia : relation to cognitive function and symptomatology

TL;DR: Findings suggest that in schizophrenia, deficits in verbal and visual memory and semantic fluency and negative symptoms may be related to (subtle) abnormalities in frontal lobe structure.
Journal ArticleDOI

A new representation of knowledge concerning human anatomy and function.

TL;DR: By integrating concepts of computer graphics and artificial intelligence, novel ways of representing medical knowledge become possible and allow unprecedented possibilities ranging from three-dimensional interactive atlases to systems for surgery rehearsal.
Journal ArticleDOI

Computer Vision and Pattern Recognition Techniques for 2-D and 3-D MR Cerebral Cortical Segmentation (Part I): A State-of-the-Art Review

TL;DR: This paper presents four state-of-the-art systems in the third class, based on the fusion of boundary/surface-based with region-based techniques outlined in Part II of the paper, also called regional-geometric deformation models, which take the paradigm of partial differential equations in the level set framework.
Journal ArticleDOI

Segmentation of the Visible Human for high-quality volume-based visualization

TL;DR: A combination of interactive classification and super-sampling visualization algorithms that greatly enhances the realism of 3-D reconstructions of the Visible Human data sets.
Journal ArticleDOI

Exploring the Visible Human using the VOXEL-MAN framework.

TL;DR: This work has registered the Visible Human data to the already existing 3D atlas VOXEL-MAN/brain, and developed an interactive classification method that delivers realistic perspective views of the Visibles Human.
References
More filters
Book

Image Analysis and Mathematical Morphology

Jean Serra
TL;DR: This invaluable reference helps readers assess and simplify problems and their essential requirements and complexities, giving them all the necessary data and methodology to master current theoretical developments and applications, as well as create new ones.
Journal ArticleDOI

Image Analysis Using Mathematical Morphology

TL;DR: The tutorial provided in this paper reviews both binary morphology and gray scale morphology, covering the operations of dilation, erosion, opening, and closing and their relations.
Journal ArticleDOI

3-D segmentation of MR images of the head for 3-D display

TL;DR: The 3-D extension of the Marr-Hildreth operator is described, and it is shown that its zero crossings are related to anatomical surfaces.
Journal ArticleDOI

Interactive 3D segmentation of MRI and CT volumes using morphological operations.

TL;DR: This work describes a new approach that circumvents the problem of image segmentation by allowing the human user to segment images interactively using morphology functions, performed concurrently with 3D visualization providing direct visual feedback to guide the user in the segmentation process.
Journal ArticleDOI

Automatic detection of brain contours in MRI data sets

TL;DR: A software procedure for fully automated detection of brain contours from single-echo 3-D MRI data, developed initially for scans with coronal orientation, and the potential of the technique for generalization to other problems is discussed.
Related Papers (5)