Feature detection of tissue lesion in HIFU based on SOM / 生物医学工程学杂志
Journal of Biomedical Engineering
; (6): 873-877, 2009.
Article
in Chinese
| WPRIM (Western Pacific)
| ID: wpr-294550
Responsible library:
WPRO
ABSTRACT
Noninvasive detection of tissue lesion is an important aided way in the process of high intensity focused ultrasound (HIFU) treatment. A new method is proposed for noninvasive detection of tissue lesion based on self-organizing maps (SOM) network. Tissue lesion, created by HIFU exposures, inevitably leads to change in B-mode image, since some new interfaces will appear in tissue. The difference-sub-image near focus of HIFU, where the tissue lesion appears, is used. Feature of lesion in difference-sub-image is extracted using the method based on SOM network. Experimental results show that the performance of the method proposed in this paper is better than that of others, such as the methods based on average gray, energy and standard deviation of difference-sub-image.
Full text:
Available
Database:
WPRIM (Western Pacific)
Main subject:
Therapeutics
/
Signal Processing, Computer-Assisted
/
Neural Networks, Computer
/
High-Intensity Focused Ultrasound Ablation
/
Neoplasms
Type of study:
Diagnostic study
Limits:
Humans
Language:
Chinese
Journal:
Journal of Biomedical Engineering
Year:
2009
Document type:
Article