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Computer-aided tissue characterization using ultrasound-induced thermal effects: analytical formulation and in-vitro animal study Daoud, Mohammad I.; Rohling, Robert N.; Abolmaesumi, Purang; Mousavi, Parvin; Imani, Farhad
Abstract
Ultrasound radio-frequency (RF) time series analysis provides an effective tissue characterization method to differentiate between healthy and cancerous prostate tissues. In this paper, an analytical model is presented that partially describes the variations in tissue acoustic properties that accompany ultrasound RF time series acquisition procedures. These ultrasound-induced effects, which depend on tissue mechanical and thermophysical properties, are hypothesized to be among the major contributors to the tissue typing capabilities of the RF time series analysis. The model is used to derive two tissue characterization features. The two features are used with a support vector machine classifier to characterize three animal tissue types: chicken breast, bovine liver, and bovine steak. Accuracy values as high as 90% are achieved when the proposed features are employed to differentiate these tissue types. The proposed model may provide a framework to optimize the ultrasound RF time series analysis for future clinical procedures. Copyright 2011 Society of Photo-Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.
Item Metadata
Title |
Computer-aided tissue characterization using ultrasound-induced thermal effects: analytical formulation and in-vitro animal study
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Creator | |
Publisher |
Society of Photo-Optical Instrumentation Engineers (SPIE)
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Date Issued |
2011
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Description |
Ultrasound radio-frequency (RF) time series analysis provides an effective tissue characterization method to differentiate between healthy and cancerous
prostate tissues. In this paper, an analytical model is presented that partially describes the variations in tissue acoustic properties that accompany
ultrasound RF time series acquisition procedures. These ultrasound-induced effects, which depend on tissue mechanical and thermophysical properties, are
hypothesized to be among the major contributors to the tissue typing capabilities of the RF time series analysis. The model is used to derive two tissue
characterization features. The two features are used with a support vector machine classifier to characterize three animal tissue types: chicken breast,
bovine liver, and bovine steak. Accuracy values as high as 90% are achieved when the proposed features are employed to differentiate these tissue types.
The proposed model may provide a framework to optimize the ultrasound RF time series analysis for future clinical procedures.
Copyright 2011 Society of Photo-Optical Instrumentation Engineers.
One print or electronic copy may be made for personal use only. Systematic reproduction and distribution,
duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.
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Genre | |
Type | |
Language |
eng
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Date Available |
2011-07-05
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Provider |
Vancouver : University of British Columbia Library
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Rights |
Attribution-NonCommercial-NoDerivatives 4.0 International
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DOI |
10.14288/1.0107550
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URI | |
Affiliation | |
Citation |
Daoud, Mohammad I.; Rohling, Robert N.; Abolmaesumi, Purang; Mousavi, Parvin; Imani, Farhad. Computer-aided tissue characterization using ultrasound-induced thermal effects: analytical formulation and in-vitro animal study. Medical Imaging 2011: Ultrasonic Imaging, Tomography, and Therapy, edited by Jan D'hooge, Marvin M. Doyley,' Proceedings of SPIE Volume 7968, 79680G, 2011.
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Publisher DOI |
10.1117/12.877754
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Peer Review Status |
Reviewed
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Scholarly Level |
Faculty
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Copyright Holder |
Rohling, Robert N.
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Rights URI | |
Aggregated Source Repository |
DSpace
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Item Media
Item Citations and Data
Rights
Attribution-NonCommercial-NoDerivatives 4.0 International