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Proceedings Paper

Multiband tissue differentiation in ultrasonic transmission tomography
Author(s): Tae-Seong Kim; Syn-Ho Do; Vasilis Z. Marmarelis
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Paper Abstract

In diagnostic ultrasound, tissue differentiation is essential to detect lesions or cancerous tissues from normal tissue. The attenuation characteristics of various tissues will be different at different frequencies, since the propagating ultrasonic pulse undergoes frequency-dependent attenuation, that is characteristic of the material it traverses. These vectors of attenuation values at different frequency bands represent multi-band characteristics of individual pixels (termed “multispectral”) that can be used for tissue differentiation akin to color. In this study, we have developed tissue differentiation methods that utilize the multispectral signatures of different materials in multi-band images produced by a newly built high-resolution ultrasonic transmission tomography (HUTT) system. The HUTT system obtains 3-D multi-band sinograms through FFT analysis of the first arriving pulse (snippet). A filtered backprojection algorithm is utilized to reconstruct a stack of multi-band attenuation images that contain multispectral signatures for each pixel and represent a multispectral augmentation of the 2-D conventional tomographic slice. To differentiate each tissue type according to its characteristic multispectral signature, we adopt the methods of spectral unmixing and spectral target detection. We demonstrate the feasibility of tissue differentiation using multi-band/multispectral signatures of different tissue objects in initial data collected from soft animal tissue phantoms.

Paper Details

Date Published: 23 May 2003
PDF: 8 pages
Proc. SPIE 5035, Medical Imaging 2003: Ultrasonic Imaging and Signal Processing, (23 May 2003); doi: 10.1117/12.479888
Show Author Affiliations
Tae-Seong Kim, Univ. of Southern California (United States)
Syn-Ho Do, Univ. of Southern California (United States)
Vasilis Z. Marmarelis, Univ. of Southern California (United States)

Published in SPIE Proceedings Vol. 5035:
Medical Imaging 2003: Ultrasonic Imaging and Signal Processing
William F. Walker; Michael F. Insana, Editor(s)

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