Scholars@Duke
Carl Eric Ravin

Carl Eric Ravin

Professor Emeritus of Radiology
Radiology, Cardiothoracic Imaging
carl.ravin@duke.edu
Box 3810 Med Ctr, Durham, NC 27710
Room 1293C Duke Clinic, Durham, NC 27710

Overview

The longstanding focus of my research has been in the evaluation and technical improvement of chest radiography. Beginning with analysis of problems limiting technical excellence in chest imaging and progressing to the development and testing of strategies designed to overcome some of these inherent limitations, we are now focused on developing clearer and more precise metrics for system evaluations. Progressing from development and evaluation of a variety of thoracic imaging devices including computed radiography (CR) and direct radiography (DR) and evaluation and implementation of various picture archiving and communications systems (PACS), we have now focused on the efficiency of digital imaging devices including assessment of detective quantum efficiency (DQE)and most recently system DQA which assesses the efficiency of not only the detector but of the entire system configuration as well.

Current Appointments & Affiliations

Professor Emeritus of Radiology · 2024 - Present Radiology, Cardiothoracic Imaging, Radiology

Recent Publications

Modeling Lung Architecture in the XCAT Series of Phantoms: Physiologically Based Airways, Arteries and Veins.

Journal Article IEEE Trans Med Imaging · March 2018 The purpose of this paper was to extend the extended cardiac-torso (XCAT) series of computational phantoms to include a detailed lung architecture including airways and pulmonary vasculature. Eleven XCAT phantoms of varying anatomy were used in this paper. ... Full text Link to item Cite

Preliminary evaluation of biplane correlation (BCI) stereographic imaging for lung nodule detection.

Journal Article J Digit Imaging · February 2013 A biplane correlation (BCI) imaging system obtains images that can be viewed in stereo, thereby minimizing overlapping structures. This study investigated whether using stereoscopic visualization provides superior lung nodule detection compared to standard ... Full text Link to item Cite

Effective dose efficiency: an application-specific metric of quality and dose for digital radiography.

Journal Article Phys Med Biol · August 21, 2011 The detective quantum efficiency (DQE) and the effective DQE (eDQE) are relevant metrics of image quality for digital radiography detectors and systems, respectively. The current study further extends the eDQE methodology to technique optimization using a ... Full text Link to item Cite
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Recent Grants

CAD Lung Cancer Detection and Classification in CT

ResearchCollaborator · Awarded by National Institutes of Health · 2006 - 2010

Bi-Plane Correlation Imaging for Early Detection of Lung Cancer

ResearchConsultant · Awarded by National Institutes of Health · 2004 - 2010

Bayesian Imaging for Improved Module Detection

ResearchCo Investigator · Awarded by National Institutes of Health · 1994 - 2000

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Education, Training & Certifications

Cornell University · 1968 M.D.