A detailed description of a new approach to perceptual analysis and processing of medical images is given. Instead of traditional pattern recognition a new method of image analysis is presented, based on a syntactic description of the shapes selected on the image and graph-grammar parsing algorithms. This method of "Image Understanding" can be found as a model of mans' cognitive image understanding processes. The usefulness for the automatic understanding of the merit of medical images is demonstrated as well as the ability for giving useful diagnostic descriptions of the illnesses. As an application, the production of a content-based, automatically generated index for arranging and for searching medical images in multimedia medical databases is presented.
Muu info
Springer Book Archives
1. What is Image Understanding Technology and why do we need it?.- 1.1
Methods of Medical Image Acquisition.- 1.2. Analysis and interpretation of
medical images.- 1.3. What new values can add to this scheme automatic
understanding ?.- 1.4. Areas of applications for the automatic understanding
of images.-
2. A General Description of the Fundamental Ideas Behind
Automatic Image Understanding.- 2.1. Fundamental assumptions.- 2.2. What does
image understanding mean?.- 2.3. Linguistic description of images.- 2.4. The
use of graph grammar to cognitive resonance.-
3. Formal Bases for the
Semantic Approach to Medical Image Processing Leading to Image Understanding
Technology.- 3.1 Fundamentals of syntactic pattern recognition methods.- 3.2
Characteristic features and advantages of structural approaches to medical
image semantic analysis.-
4. Examples of Structural Pattern Analysis and
Medical Image Understanding Application to Medical Diagnosis.- 4.1.
Introduction.- 4.2. Pre-processing Methods Designed to Process Selected
Medical Images.- 4.3. Making Lexical Elements for the Syntactic Descriptions
of Examined structures.- 4.4. Structural Analysis of Coronary Vessels.- 4.4.1
Syntactic Analysis and Diagnosing Coronary Artery Stenoses.- 4.5. Structural
Analysis and Understanding of Lesions in Urinary Tract.- 4.6. Syntactic
Methods Supporting the Diagnosis of Pancreatitis and Pancreas Neoplasm.- 4.9.
Conclusions.-
5. The application of the Image Understanding Technology to
Semantic Organisation and Content-Based Searching in Multimedia Medical Data
Bases.-
6. Strengths and Weaknesses of the Image Understanding Technology
Compared to Previously Known Approaches.- References.
Lisainfo e-raamatute kohta