Model-based labeling, analysis, and three-dimensional visualization from two-dimensional medical images

Louis K. Arata, Atam Dhawan, Stephen R. Thomas

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The computerized analysis and interpretation of three-dimensional medical images is of significant interest for diagnosis as well as for studying pathological processes. Knowledge-based image analysis and interpretation of radiological images can provide a tool for identifying and labeling each part of the image. The authors have developed a knowledge-based biomedical image analysis system for interpreting medical images using an anatomical knowledge base of the appropriate organs. In this paper, the structure of the biomedical image analysis system, along with results from the analysis of images of the human chest cavity, are presented. This approach utilizes an image analysis system with the capability of analyzing the data in both bottom-up (or data driven) and top-down (or model driven) modes to improve the recognition process. After an initial identification is achieved, segmented regions are aggregated and features for these aggregates are recomputed and matched to the model. This process continues until a 'best' match is found for the subject model region. Initial results are encouraging; however, much work remains to be done.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
PublisherPubl by Int Soc for Optical Engineering
Pages465-474
Number of pages10
Volume1446
ISBN (Print)0819405418
StatePublished - Dec 1 1991
Externally publishedYes
EventMedical Imaging V: PACS Design and Evaluation - San Jose, CA, USA
Duration: Feb 26 1991Mar 1 1991

Other

OtherMedical Imaging V: PACS Design and Evaluation
CitySan Jose, CA, USA
Period2/26/913/1/91

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Condensed Matter Physics

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