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Proceedings Paper

High-resolution ultrasonic transmission tomography
Author(s): Vasilis Z. Marmarelis; Tae-Seong Kim; Ramez E. N. Shehada
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Paper Abstract

A novel system for High-resolution Ultrasonic Transmission Tomography (HUTT) is presented. The critical innovation of the HUTT system includes the use of sub-millimeter transducer elements for both transmitter and receiver arrays and multi-band analysis of the first-arrival pulse. The first-arrival pulse is detected and extracted from the received signal (i.e., snippet) at each azimuthal and angular location of a mechanical tomographic scanner in transmission mode. Each extracted snippet is processed to yield a “multispectral” vector of attenuation values at multiple frequency bands. Other acoustic attributes of the object (such as time-of-flight or wavelet decomposition coefficients) can also be obtained through snippet analysis. These vectors form a 3-D sinogram representing a multispectral augmentation of the conventional 2-D sinogram. A filtered backprojection algorithm is used to reconstruct a stack of multispectral images for each 2-D tomographic slice that may allow tissue characterization and improved image segmentation. We present illustrative examples of 2-D images formed at various frequency bands to demonstrate the high-resolution capability of the system and the potential of multispectral analysis. It is shown that spherical objects with diameter down to 0.3mm can be detected. Reconstruction of 3-D images has been achieved using multiple 2-D slices with sub-mm elevation differences.

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: 10.1117/12.479887
Show Author Affiliations
Vasilis Z. Marmarelis, Univ. of Southern California (United States)
Tae-Seong Kim, Univ. of Southern California (United States)
Ramez E. N. Shehada, 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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