Identification and classification of spine vertebrae by automated methods

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 4322, Issue 3, 2001, Pages 1478-1489

  Long, L R ^a   Thoma, G R ^a  

^a NATIONAL INSTITUTES OF HEALTH   (United States)

Author keywords

Active shape modeling; ASM; Classification; Content based indexing; Digital imaging; NIH; NLM; Segmentation; X ray

Indexed keywords

ALGORITHMS; COMPUTATIONAL GEOMETRY; COMPUTER AIDED DIAGNOSIS; DIGITAL SIGNAL PROCESSING; FEATURE EXTRACTION; IMAGE ANALYSIS; IMAGE SEGMENTATION; X RAY ANALYSIS;

DIGITIZED X-RAY IMAGES;

MEDICAL IMAGING;

EID: 0034843551     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.431029     Document Type: Conference Paper

References (8)

1. Content-based image retrieval at the end of the early years
2. WebMIRS: Web-based medical information retrieval system
3. Feature indexing in a database of digitized x-rays
4. Estimation of orientation of cervical vertebrae for segmentation with active shape models
5. Customized active shape models for segmentation of cervical and lumbar spine vertebrae
6. Segmentation and image navigation in digitized spine x-rays
7. A radius of curvature approach to cervical spine vertebra image analysis
8. Automated localization and identification of lower spinal anatomy in magnetic resonance images