Journal article
Design and implementation of software for assembly and browsing of 3D brain atlases
Computer methods and programs in biomedicine, v 74(1)
2004
PMID: 14992826
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Visualization software for three dimensional digital brain atlases present many challenges in design and implementation. These challenges include the design of an effective human interface, management of large data sets, display speed when slicing the data set for viewing/browsing, and the display of delineated volumes of interest (VOI). We present a software design, implementation and storage architecture that addresses these issues, allowing the user to navigate through a reconstructed volume quickly and smoothly, with an easy-to-use human interface. The software (
macostat, for use with Macintosh OS) allows the user to rapidly display slices of the digital atlas at any arbitrary slicing angle, complete with delineated VOIs. The VOIs can be assigned colors of the user's choosing. The entire atlas, or selected portions, may be resliced with slices stored as individual image files, complete with delineations. These delineations may be transferred to corresponding sections of experimental materials using our analysis program (
brain). The software may be obtained from the laboratory's web site:
http://www.neuroterrain.org.
Metrics
Details
- Title
- Design and implementation of software for assembly and browsing of 3D brain atlases
- Creators
- Carl Gustafson - Drexel UniversityOleh Tretiak - Drexel UniversityLouise Bertrand - Drexel UniversityJonathan Nissanov - Drexel University
- Publication Details
- Computer methods and programs in biomedicine, v 74(1)
- Publisher
- Elsevier Ireland Ltd
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- [Retired Faculty]
- Web of Science ID
- WOS:000220270400005
- Scopus ID
- 2-s2.0-1442360720
- Other Identifier
- 991019167741004721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Computer Science, Interdisciplinary Applications
- Computer Science, Theory & Methods
- Engineering, Biomedical
- Medical Informatics