DocumentCode :
1084257
Title :
Imaging mass lesions by vibro-acoustography: modeling and experiments
Author :
Alizad, Azra ; Wold, Lester E. ; Greenleaf, James F. ; Fatemi, Mostafa
Author_Institution :
Dept. of Physiol. & Biomed. Eng., Ultrasound Res. Lab., Rochester, MN, USA
Volume :
23
Issue :
9
fYear :
2004
Firstpage :
1087
Lastpage :
1093
Abstract :
Vibro-acoustography is a recently developed imaging method based on the dynamic response of to low-frequency vibration produced by of ultrasound radiation force. The main differentiating feature of this method is that the image includes information about the dynamic properties of the object at the frequency of the vibration, which is normally much lower than the ultrasound frequency. Such information is not available from conventional ultrasound imaging. The purpose of this study is to evaluate the performance of vibro-acoustography in imaging mass lesions in soft tissue. Such lesions normally have elastic properties that are different from the surrounding tissue. Here, we first present a brief formulation of image formation in vibro-acoustography. Then we study vibro-acoustography of solid masses through computer simulation and in vitro experiments. Experiments are conducted on excised fixed liver tissues. Resulting images show lesions with enhanced boundary and often with distinctive textures relative to their background. The results suggest that vibro-acoustography maybe a clinically useful imaging modality for detection of mass lesions.
Keywords :
biological tissues; biomedical ultrasonics; feature extraction; image texture; liver; medical image processing; vibrations; enhanced image boundary; excised fixed liver tissues; image formation; image texture; in vitro experiments; low-frequency vibration; mass lesion imaging; soft tissue; ultrasound imaging; ultrasound radiation force; vibro-acoustography modeling; Biological tissues; Biomedical engineering; Biomedical imaging; Focusing; Frequency; Lesions; Medical diagnostic imaging; Physiology; Scattering; Ultrasonic imaging; Algorithms; Computer Simulation; Feasibility Studies; Humans; Image Enhancement; Image Interpretation, Computer-Assisted; Liver Neoplasms; Models, Biological; Reproducibility of Results; Sensitivity and Specificity; Ultrasonography; Vibration;
fLanguage :
English
Journal_Title :
Medical Imaging, IEEE Transactions on
Publisher :
ieee
ISSN :
0278-0062
Type :
jour
DOI :
10.1109/TMI.2004.828674
Filename :
1327687
Link To Document :
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