Dr. Ernest J. Feleppa Profile

Dr. Ernest J. Feleppa

Research Director at Riverside Research

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Publications (16)

Proceedings Article | 11 March 2015 Paper

Quantitative photoacoustic assessment of ex-vivo lymph nodes of colorectal cancer patients

Ashwin Sampathkumar, Jonathan Mamou, Emi Saegusa-Beercroft, Parag Chitnis, Junji Machi, Ernest Feleppa

Proceedings Volume 9323, 93231T (2015) https://doi.org/10.1117/12.2079961

KEYWORDS: Photoacoustic spectroscopy, Lymphatic system, Tissue optics, Tissues, Colorectal cancer, Ultrasonography, Statistical analysis, Transducers, Cancer, Image processing

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Staging of cancers and selection of appropriate treatment requires histological examination of multiple dissected lymph nodes (LNs) per patient, so that a staggering number of nodes require histopathological examination, and the finite resources of pathology facilities create a severe processing bottleneck. Histologically examining the entire 3D volume of every dissected node is not feasible, and therefore, only the central region of each node is examined histologically, which results in severe sampling limitations. In this work, we assess the feasibility of using quantitative photoacoustics (QPA) to overcome the limitations imposed by current procedures and eliminate the resulting under sampling in node assessments. QPA is emerging as a new hybrid modality that assesses tissue properties and classifies tissue type based on multiple estimates derived from spectrum analysis of photoacoustic (PA) radiofrequency (RF) data and from statistical analysis of envelope-signal data derived from the RF signals. Our study seeks to use QPA to distinguish cancerous from non-cancerous regions of dissected LNs and hence serve as a reliable means of imaging and detecting small but clinically significant cancerous foci that would be missed by current methods. Dissected lymph nodes were placed in a water bath and PA signals were generated using a wavelength-tunable (680-950 nm) laser. A 26-MHz, f-2 transducer was used to sense the PA signals. We present an overview of our experimental setup; provide a statistical analysis of multi-wavelength classification parameters (mid-band fit, slope, intercept) obtained from the PA signal spectrum generated in the LNs; and compare QPA performance with our established quantitative ultrasound (QUS) techniques in distinguishing metastatic from non-cancerous tissue in dissected LNs. QPA-QUS methods offer a novel general means of tissue typing and evaluation in a broad range of disease-assessment applications, e.g., cardiac, intravascular, musculoskeletal, endocrine-gland, etc.

Proceedings Article | 21 March 2014 Paper

Spatially aware expectation maximization (SpAEM): application to prostate TRUS segmentation

Mahdi Orooji, Rachel Sparks, B. Nicolas Bloch, Ernest Feleppa, Dean Barratt, Anant Madabhushi

Proceedings Volume 9034, 90343Y (2014) https://doi.org/10.1117/12.2043981

KEYWORDS: Prostate, Image segmentation, Ultrasonography, Expectation maximization algorithms, Feature extraction, Image processing, Image filtering, Statistical analysis, Medical imaging, Cancer

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Proceedings Article | 17 March 2014 Paper

Optical characterization of ex-vivo axillary lymph nodes of breast-cancer patients using a custom-built spectrophotometer

Ashwin Sampathkumar, Emi Saegusa-Beecroft, Jonathan Mamou, Parag Chitnis, Junji Machi, Ernest Feleppa

Proceedings Volume 8940, 89400Q (2014) https://doi.org/10.1117/12.2037864

KEYWORDS: Lymphatic system, Tissue optics, Spectrophotometry, Cancer, Photoacoustic spectroscopy, Optical properties, Pathology, Absorption, Optical testing, Spectroscopy

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Proceedings Article | 3 March 2014 Paper

Spectrum analysis of photoacoustic signals for tissue classification

Parag Chitnis, Jonathan Mamou, Ashwin Sampathkumar, Ernest Feleppa

Proceedings Volume 8943, 89432J (2014) https://doi.org/10.1117/12.2037929

KEYWORDS: Particles, Tissue optics, Photoacoustic spectroscopy, Transducers, Optical spheres, Ultrasonography, Data acquisition, Spectrum analysis, Tissues, Signal analyzers

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Proceedings Article | 13 March 2013 Paper

Statistical 3D prostate imaging atlas construction via anatomically constrained registration

Mirabela Rusu, B. Nicolas Bloch, Carl Jaffe, Neil Rofsky, Elizabeth Genega, Ernest Feleppa, Robert Lenkinski, Anant Madabhushi

Proceedings Volume 8669, 866913 (2013) https://doi.org/10.1117/12.2006941

KEYWORDS: Magnetic resonance imaging, Prostate, Cancer, Image registration, 3D image processing, Artificial intelligence, In vivo imaging, Image segmentation, Biopsy, Stereoscopy

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Statistical imaging atlases allow for integration of information from multiple patient studies collected across different image scales and modalities, such as multi-parametric (MP) MRI and histology, providing population statistics regarding a specific pathology within a single canonical representation. Such atlases are particularly valuable in the identification and validation of meaningful imaging signatures for disease characterization in vivo within a population. Despite the high incidence of prostate cancer, an imaging atlas focused on different anatomic structures of the prostate, i.e. an anatomic atlas, has yet to be constructed. In this work we introduce a novel framework for MRI atlas construction that uses an iterative, anatomically constrained registration (AnCoR) scheme to enable the proper alignment of the prostate (Pr) and central gland (CG) boundaries. Our current implementation uses endorectal, 1.5T or 3T, T2-weighted MRI from 51 patients with biopsy confirmed cancer; however, the prostate atlas is seamlessly extensible to include additional MRI parameters. In our cohort, radical prostatectomy is performed following MP-MR image acquisition; thus ground truth annotations for prostate cancer are available from the histological specimens. Once mapped onto MP-MRI through elastic registration of histological slices to corresponding T2-w MRI slices, the annotations are utilized by the AnCoR framework to characterize the 3D statistical distribution of cancer per anatomic structure. Such distributions are useful for guiding biopsies toward regions of higher cancer likelihood and understanding imaging profiles for disease extent in vivo. We evaluate our approach via the Dice similarity coefficient (DSC) for different anatomic structures (delineated by expert radiologists): Pr, CG and peripheral zone (PZ). The AnCoR-based atlas had a CG DSC of 90.36%, and Pr DSC of 89.37%. Moreover, we evaluated the deviation of anatomic landmarks, the urethra and veromontanum, and found 3.64 mm and respectively 4.31 mm. Alternative strategies that use only the T2-w MRI or the prostate surface to drive the registration were implemented as comparative approaches. The AnCoR framework outperformed the alternative strategies by providing the lowest landmark deviations.

Proceedings Article | 8 March 2013 Paper

Fully automated prostate magnetic resonance imaging and transrectal ultrasound fusion via a probabilistic registration metric

Rachel Sparks, B. Nicholas Bloch, Ernest Feleppa, Dean Barratt, Anant Madabhushi

Proceedings Volume 8671, 86710A (2013) https://doi.org/10.1117/12.2007610

KEYWORDS: Prostate, Magnetic resonance imaging, Biopsy, Signal attenuation, Image registration, Image segmentation, Fourier transforms, Curium, Ultrasonography, Tellurium

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Proceedings Article | 25 February 2012 Paper

Modulus reconstruction from prostate ultrasound images using finite element modeling

Zhennan Yan, Shaoting Zhang, S. Kaisar Alam, Dimitris Metaxas, Brian Garra, Ernest Feleppa

Proceedings Volume 8320, 832016 (2012) https://doi.org/10.1117/12.911088

KEYWORDS: Prostate, Tumors, Finite element methods, Tissues, Elastography, Ultrasonography, 3D modeling, Natural surfaces, Inverse problems, Prostate cancer

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Proceedings Article | 12 April 2005 Paper

Prostate elastography: preliminary in vivo results

S. Alam, E. Feleppa, A. Kalisz, S. Ramchandran, R. Ennis, Frederick Lizzi, C.-S. Wuu, Jeffrey Ketterling

Proceedings Volume 5750, (2005) https://doi.org/10.1117/12.596788

KEYWORDS: Prostate, Elastography, Prostate cancer, Biopsy, Tissues, Cancer, Data acquisition, In vivo imaging, Ultrasonography, Scanners

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Proceedings Article | 28 April 2004 Paper

Ultrasonic tissue-type imaging (TTI) for planning treatment of prostate cancer

Ernest Feleppa, Jeffrey Ketterling, Christopher Porter, John Gillespie, Cheng-Shie Wuu, Stella Urban, Andrew Kalisz, Ronald Ennis, Peter Schiff

Proceedings Volume 5373, (2004) https://doi.org/10.1117/12.543632

KEYWORDS: Biopsy, Tissues, Cancer, Prostate, Ultrasonography, Ultrasonics, 3D image processing, Prostate cancer, Acoustics, Magnetic resonance imaging

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Proceedings Article | 11 April 2002 Paper

Novel methods of analyzing radio-frequency echo signals for the purpose of imaging brachytherapy seeds used to treat prostate cancer

Ernest Feleppa, Sarayu Ramachandran, Sheikh Alam, Andrew Kalisz, J. Ketterling, Ronald Ennis, Cheng-Shie Wuu

Proceedings Volume 4687, (2002) https://doi.org/10.1117/12.462146

KEYWORDS: Prostate, Ultrasonography, Transducers, Tissues, Liver, Signal analyzers, Prostate cancer, Doppler effect, Computed tomography, Data acquisition

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Proceedings Article | 11 April 2002 Paper

Computer-aided diagnosis of breast lesions using a multifeature analysis procedure

Sheikh Alam, Frederick Lizzi, Ernest Feleppa, Tian Liu, Andrew Kalisz

Proceedings Volume 4687, (2002) https://doi.org/10.1117/12.462165

KEYWORDS: Breast, Fractal analysis, Acoustics, Tissues, Signal attenuation, Tumors, Ultrasonography, Calibration, Data acquisition, Cancer

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Proceedings Article | 30 May 2001 Paper

Prostate imaging based on rf spectrum analysis and nonlinear classifiers for guiding biopsies and targeting radiotherapy

Ernest Feleppa, J. Ketterling, Andrew Kalisz, Stella Urban, C. Porter, John Gillespie, Peter Schiff, Ronald Ennis, Cheng-Shie Wuu, Judd Moul, Isabell Sesterhenn, P. Scardino

Proceedings Volume 4325, (2001) https://doi.org/10.1117/12.428213

KEYWORDS: Biopsy, Prostate, Tissues, Cancer, Radiotherapy, Spectrum analysis, Ultrasonography, Ultrasonics, Biological research, Prostate cancer

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Proceedings Article | 30 May 2001 Paper

Novel estimators for elastography

Sheikh Alam, Frederick Lizzi, Ernest Feleppa, T. Varghese

Proceedings Volume 4325, (2001) https://doi.org/10.1117/12.428207

KEYWORDS: Tissues, Elastography, Motion estimation, Error analysis, Finite element methods, Transducers, Ultrasonography, Ultrasonics, Signal processing, Signal to noise ratio

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Proceedings Article | 12 April 2000 Paper

Three-dimensional ultrasonic parametric and tissue-property imaging for tissue evaluation, treatment planning, therapy guidance, and efficacy assessment

Ernest Feleppa, Tian Liu, Frederick Lizzi, Andrew Kalisz, Ronald Silverman, Bernard Sigel, William Fair

Proceedings Volume 3982, (2000) https://doi.org/10.1117/12.382259

KEYWORDS: Tissues, Skin, Prostate, 3D image processing, Ultrasonics, Ultrasonography, Data acquisition, Transducers, Spectrum analysis, Volume rendering

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Proceedings Article | 12 April 2000 Paper

Ultrasonic multifeature analysis procedures for breast lesion classification

Sheikh Alam, Frederick Lizzi, Ernest Feleppa, Tian Liu, Andrew Kalisz

Proceedings Volume 3982, (2000) https://doi.org/10.1117/12.382226

KEYWORDS: Tissues, Signal attenuation, Breast, Tumors, Ultrasonics, Data acquisition, Analytical research, Spectrum analysis, Statistical analysis, Image segmentation

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Proceedings Article | 12 April 2000 Paper

Two-dimensional and three-dimensional tissue-type imaging of the prostate based on ultrasonic spectrum analysis and neural network classification

Ernest Feleppa, William Fair, Tian Liu, Andrew Kalisz, William Gnadt, Frederick Lizzi, K. Balaji, Christopher Porter, Harold Tsai

Proceedings Volume 3982, (2000) https://doi.org/10.1117/12.382220

KEYWORDS: Tissues, Biopsy, Prostate, 3D image processing, Cancer, Data acquisition, Natural surfaces, Ultrasonics, 3D acquisition, Spectrum analysis

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Showing 5 of 16 publications

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