Paul C Pearlman

Paul C Pearlman, Ph.D.

  • Position:
    Post Doctoral Fellow

    Image Sciences Institute

    University Medical Center Utrecht (Utrecht, The Netherlands)

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  • Advisors:

    Josien Pluim, Max Viergever

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  • Degrees:
     
    Ph.D., Electrical Engineering, Yale University (New Haven, CT)
     
    M.Phil., Electrical Engineering, Yale University (New Haven, CT)
     
    M.S., Electrical Engineering, Yale University (New Haven, CT)
     
    B.S., Electrical Engineering, Georgia Institute of Technology (Atlanta, GA)
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  • Past Advisors:
     
    Hemant D Tagare (as Graduate Student - Ph.D.)
     
    James S. Duncan (as Graduate Student - Ph.D.)
     
    Oskar M. Skrinjar (as Undergraduate Student)
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  • Research:
    I am interested in the use of medical image data and the extraction of clinically relevant parameters from these images to identify and characterize normal and abnormal states to ultimately yield accurate, reproducible, and robust semi-automated diagnoses in the clinic.

    My research focus is signal/image processing, estimation and control, and medical imaging, with an emphasis on biomedical image analysis. I am particularly interested in the development, evaluation, and application of pathology driven and clinically applicable computer aided diagnosis and treatment planning techniques.

    While my interests extend to all modalities, the development of strategies for low cost, noninvasive imaging such as ultrasound and stereo-photography is particularly exciting. I want to revolutionize the diagnosis and treatment of disease by developing algorithms that assist doctors in interpretation of medical image data. The effect of these algorithms is particularly acute in low cost imaging because deployment costs are significantly less than other technologies, such as MR or CT. Ultrasound and stereo-photography systems are also portable, greatly increasing potential benefits.

    My PhD project has focused specifically on segmentation in left ventricle RF echocardiography using a novel feature that leverages spatio-temporal coherence in the signal. This problem is part of a larger project seeking to understand the extent of injury (transmurality), and the healing of the left ventricle (remodeling), following an infarct. This work will contribute to the diagnosis and treatment of ischemic heart disease, the world’s primary cause of mortality.

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  • Other Experience:

    2011 Reviewer, Medical Image Computing and Computer Assisted Intervention

    2010-2011 Ex officio member of the Yale Graduate School Alumni Association Executive Board

    2010-2011 Yale Graduate Student Assembly - Chair

    2010-2011 Reviewer, Medical Image Analysis

    2009-2011 Yale Graduate School Executive Committee

    2008-2011 Yale Graduate Student Assembly - Steering Committee

    2008-2011 Yale Graduate Student Assembly - Engineering Representative

    2007-2011 Teaching Fellow, Yale University

    2010 Reviewer, IEEE Conference on Bioinformatics and Bioengineering

    2010 International Association of Research Universities, University Governance Leadership Workshop

    2009-2010 Yale Graduate Student Assembly - Vice Chair

    2009-2010 Yale Graduate Student Assembly - Athletics Committee Chair

    2009-2010 Yale Graduate School Dean’s Advisory Committee on Student Grievances

    2009 Conversation Partner, Yale-Beijing Foreign Studies University English Immersion Program

    2006 President, Georgia Tech Chapter of Alpha Phi Omega, National Service Fraternity

    2005-2006 Philanthropy Chair, Omicron Delta Kappa, Leadership Honor Society

    2003-2006 Georgia Tech Research Institute Electronic Systems Lab - Avionics Development Branch

    2005 On-site Coordinator, Georgia Tech LeaderShape

    2004-2005 Instructor, Georgia Tech Kids Club

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  • Honors:

    2007 National Science Foundation Graduate Research Fellowship Program Honorable Mention

    2006 Finalist for Gates-Cambridge Scholar

    2006 Fulbright Award Winner

    2006 Yale Fellowship

    2006 Emerson Fellow

    2002 Prudential Spirit of the Community Award

Health Sciences
Communities:

Paul Pearlman's Genealogy

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Paul Pearlman's Publications (3)



Paul Pearlman's Posters and Presentations (3)

  • Segmentation of 3D RF Echocardiography Using a Multiframe Spatio-temporal Predictor (presentation)

    Paul C Pearlman, Hemant D Tagare, Ben A Lin, Al J Sinusas, James S Duncan

    Information Processing in Medical Imaging, Irsee; 07/2011
  • Segmentation of 3D RF Echocardiography Using a Joint Spatio-temporal Predictor and Signal Intensity Model (poster)

    Paul C Pearlman, Hemant D Tagare, Ben A Lin, Al J Sinusas, James S Duncan

    International Symposium on Biomedical Engineering, Chicago; 04/2011
    Attachment: cSLiP_Poster.pdf
  • 3D Radio Frequency Ultrasound Cardiac Segmentation Using a Linear Predictor (poster)

    Paul C Pearlman, Hemant D Tagare, Al J Sinusas, James S Duncan

    Medical Image Computing and Computer Assisted Intervention, Beijing; 10/2010
    Attachment: RFSLiP_Poster.pdf

One Figure

One Figure for Paul C Pearlman

Segmentation surface using mSLiP algorithm (introduced in Pearlman et al.,IPMI 2011).



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