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347 results on '"Feleppa, Ernest"'

2. Segmentation of 3D High-frequency Ultrasound Images of Human Lymph Nodes Using Graph Cut with Energy Functional Adapted to Local Intensity Distribution

Author

Kuo, Jen-wei, Mamou, Jonathan, Wang, Yao, Saegusa-Beecroft, Emi, Machi, Junji, and Feleppa, Ernest J.

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

Previous studies by our group have shown that three-dimensional high-frequency quantitative ultrasound methods have the potential to differentiate metastatic lymph nodes from cancer-free lymph nodes dissected from human cancer patients. To successfully perform these methods inside the lymph node parenchyma, an automatic segmentation method is highly desired to exclude the surrounding thin layer of fat from quantitative ultrasound processing and accurately correct for ultrasound attenuation. In high-frequency ultrasound images of lymph nodes, the intensity distribution of lymph node parenchyma and fat varies spatially because of acoustic attenuation and focusing effects. Thus, the intensity contrast between two object regions (e.g., lymph node parenchyma and fat) is also spatially varying. In our previous work, nested graph cut demonstrated its ability to simultaneously segment lymph node parenchyma, fat, and the outer phosphate-buffered saline bath even when some boundaries are lost because of acoustic attenuation and focusing effects. This paper describes a novel approach called graph cut with locally adaptive energy to further deal with spatially varying distributions of lymph node parenchyma and fat caused by inhomogeneous acoustic attenuation. The proposed method achieved Dice similarity coefficients of 0.937+-0.035 when compared to expert manual segmentation on a representative dataset consisting of 115 three-dimensional lymph node images obtained from colorectal cancer patients.

Published
2017

22. Statistics of ultrasonic spectral parameters for prostate and liver examinations

Author

Lizzi, Frederic L., Feleppa, Ernest J., Astor, Michael, and Kalisz, Andrew

Subjects
Diagnosis, Ultrasonic -- Research, Spectrum analysis -- Research, Business, Electronics, Electronics and electrical industries
Abstract

A study was conducted to test a theoretical analysis for interpreting statistical characteristics of spectral parameters used for ultrasonic evaluation in the prostate and liver. Theoretical results are compared with clinical data obtained from abdominal and prostate examinations. These results are congruent with clinical data and are applicable to spectrum analysis examinations of other organs.

Published
1997

23. Typing of prostate tissue by ultrasonic spectrum analysis

Author

Feleppa, Ernest J., Kaslisz, Andrew, Sokil-Melgar, Joan B., Lizzi, Frederic L., Liu, Tian, Rosado, Angel L., Shao, Mary C., Fair, William R., Wang, Yu, Cookson, Michael S., Reuter, Victor E., and Heston, Warren D.W.

Subjects
Spectrum analysis -- Usage, Prostatectomy -- Equipment and supplies, Diagnostic imaging -- Innovations, Business, Electronics, Electronics and electrical industries
Abstract

A study on the use of spectrum analysis of radio frequency (RF) echo signals for diagnosing prostate cancer shows its potential to lower the incidence of false-negative biopsies or inappropriate prostatectomies. The differences observed, while comparing normalized power spectra of RF echo signals and histologically determined tissue types, show its differentiation potential for cancerous and non-cancerous tissue types. A positive spatial correlation between tissue-typing using spectral-parameter color-encoding and histology raises hopes of better biopsy guidance by spectrum analysis.

Published
1996

24. Simulation studies of ultrasonic backscattering and b-mode images of liver using acoustic microscopy data

Author

Lizzi, Frederic L., Rorke, Mary C., King, Donald L., Feleppa, Ernest J., Kalisz, Andrew, Sokil-Melgar, Joan B., and Nowakowski, Jerzy

Subjects
Microscope and microscopy -- Usage, Ultrasound imaging -- Research, Liver, Business, Electronics, Electronics and electrical industries
Abstract

Ultrasonic scattering and B-mode images of the liver using acoustic microscopy is presented. The images of a human liver obtained with a scanning laser acoustic microscope were digitized into the propagation velocity domain from which the radio frequency echo signals and B-mode images were calculated via computer simulations. A comparison between the propagation velocity images and the B-mode images was also conducted.

Published
1992

37. Quantification of freshly-excised human lymph node tissue using high-frequency ultrasound

Author

Mamou, Jonathan, Coron, Alain, Saegusa-Beecroft, Emi, Hata, Masaki, Oelze, Michael, Yanagihara, Eugene, Yamaguchi, Tadashi, Laugier, Pascal, Machi, Junji, Feleppa, Ernest, Laboratoire d'Imagerie Paramétrique (LIP), Université Pierre et Marie Curie - Paris 6 (UPMC)-IFR58-Centre National de la Recherche Scientifique (CNRS), Société Française d'Acoustique, and System, HAL

Subjects
[SPI.ACOU]Engineering Sciences [physics]/Acoustics [physics.class-ph], [SPI.ACOU] Engineering Sciences [physics]/Acoustics [physics.class-ph], High-frequency, Qunatitative ultrasound, Tissue characerization, Cancer
Abstract

International audience; During lymphadenectomy, 5-20 lymph nodes are excised from cancer patients. These lymph nodes can contain clinically-important metastatic regions that can be missed because conventional histopathology methods do not allow nodes to be examined over their entire volume. In this study, novel quantitative ultrasound (QUS) methods were applied to more than 250 lymph nodes. Individual lymph nodes were scanned in 3D using a 26-MHz ultrasound transducer before histology processing. QUS estimates associated with tissue microstructure were obtained from 3D regions-of-interest. QUS estimates are hypothesized to be different in noncancerous compared to metastatic tissue in lymph nodes. Four QUS estimates were obtained from backscattered spectra and the remaining nine were derived from envelope statistics. Following ultrasound scanning, a 3D histology volume depicting metastatic regions was obtained by performing serial sectioning at 50-µm intervals. Cancer detection based on QUS estimates was performed using linear-discriminant analyses, and areas under ROC curves (AUCs) were estimated. The AUC for the linear combination of four QUS estimates was 0.87 for a dataset of 95 breast-cancer nodes. Similarly, using only two QUS estimates, an AUC of 0.95 was obtained for a dataset of 164 gastrointestinal-cancer nodes. These results suggest that QUS can help guide pathologists towards suspicious regions.

Published
2012

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