Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/13897
Title: | Evaluation of Accuracy of a Theoretical Model for Predicting the Necrosed Tissue Volume during Focused Ultrasound Surgery | Authors: | Hynynen, Kullervo Fan, Xiaobing Damianou, Christakis A. |
Major Field of Science: | Engineering and Technology | Field Category: | Electrical Engineering - Electronic Engineering - Information Engineering | Keywords: | Necrosed tissue volume;Sommerfield integral techniques;Ultrasound surgery | Issue Date: | 1-Jan-1995 | Source: | IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, 1995, vol. 42, no. 2, pp. 182-187 | Volume: | 42 | Issue: | 2 | Journal: | IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control | Abstract: | The concept of thermal dose as a predictor for the size of the necrosed tissue volume during high-intensity focussed ultrasound surgery was tested. The sensitivity of the predicted lesion size to the uncertainties in the iso-dose constant, attenuation coefficient, and thermal dose threshold of necrosis was studied. The predicted lesion size appears to be independent of attenuation at some high attenuation values and certain depth in tissue. Thus, for a given target depth, a proper selection of frequency could minimize the lesion size variability due to uncertainty in the tissue attenuation. The predicted lesion size was less dependent on the uncertainties in the iso-dose constant and thermal dose of necrosis. The predictions of the model were compared with experimental data in rabbit muscle, and experimental data in cat and rat brain measured by others. The agreement was found to be good in most of the experiments. Similarly, the model was found to predict well the trends of increasing power and pulse duration. 0885-3010/95$04.00 © 1995 IEEE | URI: | https://hdl.handle.net/20.500.14279/13897 | ISSN: | 08853010 | DOI: | 10.1109/58.365232 | Rights: | © IEEE | Type: | Article | Affiliation : | Indiana University Harvard University |
Publication Type: | Peer Reviewed |
Appears in Collections: | Άρθρα/Articles |
CORE Recommender
SCOPUSTM
Citations
103
checked on Mar 14, 2024
WEB OF SCIENCETM
Citations
94
Last Week
0
0
Last month
0
0
checked on Aug 17, 2023
Page view(s) 50
345
Last Week
0
0
Last month
5
5
checked on Nov 7, 2024
Google ScholarTM
Check
Altmetric
Items in KTISIS are protected by copyright, with all rights reserved, unless otherwise indicated.