Eugene Yanagihara

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Our group is developing a method based on 3D high-frequency ultra-sound (HFU) and 3D quantitative ultrasound (QUS) to help pathologists detect micrometastases in freshly-excised lymph nodes of patients with histologically-proven primary cancer. From a signal and image processing perspective, we report on our efforts to acquire and classify lymph-node tissue(More)
Lymph nodes from 13 cases of reactive hyperplasia were examined with four different monoclonal antibodies to B cells. B-1 recognizes an antigen of 30,000 daltons on B cells. CB-2 was prepared with normal spleen and binds to a glycolipid. BA-1 labels surface immunoglobulin-positive cells, but not T lymphocytes or monocytes. B-532 recognizes an antigenic(More)
This work investigates the statistics of the envelope of three-dimensional (3D) high-frequency ultrasound (HFU) data acquired from dissected human lymph nodes (LNs). Nine distributions were employed, and their parameters were estimated using the method of moments. The Kolmogorov Smirnov (KS) metric was used to quantitatively compare the fit of each(More)
Three-dimensional segmentation of high-frequency ultrasound echo signals from dissected lymph nodes. A critical review and uniformized representation of statistical distributions modeling the ultrasound echo envelope. Dutt V, Greenleaf JF. Ultrasound echo envelope analysis using a homodyned K distribution signal model. Differentiation of metastatic from(More)
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