Paper
28 April 2004 Multiband tissue classification for ultrasonic transmission tomography using spectral profile detection
Jeong-Won Jeong, Tae-Seong Kim, Dae-Chul Shin, Synho Do, Vasilis Z. Marmarelis
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Abstract
Recently it was shown that soft tissue can be differentiated with spectral unmixing and detection methods that utilize multi-band information obtained from a High-Resolution Ultrasonic Transmission Tomography (HUTT) system. In this study, we focus on tissue differentiation using the spectral target detection method based on Constrained Energy Minimization (CEM). We have developed a new tissue differentiation method called “CEM filter bank”. Statistical inference on the output of each CEM filter of a filter bank is used to make a decision based on the maximum statistical significance rather than the magnitude of each CEM filter output. We validate this method through 3-D inter/intra-phantom soft tissue classification where target profiles obtained from an arbitrary single slice are used for differentiation in multiple tomographic slices. Also spectral coherence between target and object profiles of an identical tissue at different slices and phantoms is evaluated by conventional cross-correlation analysis. The performance of the proposed classifier is assessed using Receiver Operating Characteristic (ROC) analysis. Finally we apply our method to classify tiny structures inside a beef kidney such as Styrofoam balls (~1mm), chicken tissue (~5mm), and vessel-duct structures.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jeong-Won Jeong, Tae-Seong Kim, Dae-Chul Shin, Synho Do, and Vasilis Z. Marmarelis "Multiband tissue classification for ultrasonic transmission tomography using spectral profile detection", Proc. SPIE 5373, Medical Imaging 2004: Ultrasonic Imaging and Signal Processing, (28 April 2004); https://doi.org/10.1117/12.534358
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KEYWORDS
Tissues

Tomography

Target detection

Optical filters

Ultrasonics

Liver

Signal attenuation

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