Support vector machine based high intensity focused ultrasound beam lesion degree classification and recognition / 生物医学工程学杂志
Journal of Biomedical Engineering
; (6): 978-983, 2010.
Article
in Chinese
| WPRIM (Western Pacific)
| ID: wpr-230744
Responsible library:
WPRO
ABSTRACT
Ultrasound based tissue thermal lesion non-invasive detection is of great significance in high intensity focused ultrasound (HIFU) clinical application. In this paper, we propose a sub-pixel method to quantify the ultrasound image change caused by HIFU as correlation-distance. The support vector machine (SVM) was trained by using correlation distance as samples, and the recognition effect was tested. Results showed that sub-pixel cross-correlation vector field could reflect the ablation lesions position. SVM based classification method can recognize HIFU beam lesion degree effectively.
Full text:
Available
Database:
WPRIM (Western Pacific)
Main subject:
Algorithms
/
Pattern Recognition, Automated
/
Diagnostic Imaging
/
High-Intensity Focused Ultrasound Ablation
/
Support Vector Machine
/
Methods
Type of study:
Diagnostic study
Limits:
Humans
Language:
Chinese
Journal:
Journal of Biomedical Engineering
Year:
2010
Document type:
Article