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Robert L. Eisner

Researcher at Emory University

Publications -  57
Citations -  1235

Robert L. Eisner is an academic researcher from Emory University. The author has contributed to research in topics: Myocardial perfusion imaging & Single-photon emission computed tomography. The author has an hindex of 17, co-authored 56 publications receiving 1212 citations. Previous affiliations of Robert L. Eisner include Georgia Institute of Technology & Albert Einstein College of Medicine.

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Comparison of Cost-Effectiveness and Utility of Exercise ECG, Single Photon Emission Computed Tomography, Positron Emission Tomography, and Coronary Angiography for Diagnosis of Coronary Artery Disease

TL;DR: It is essential to consider the clinical history (pCAD) when selecting the clinical algorithm to make a diagnosis with the lowest cost per effect or cost per utility unit when estimating total costs of diagnostic tests for CAD.
Journal Article

Use of cross-correlation function to detect patient motion during SPECT imaging.

TL;DR: A procedure to detect patient motion during a tomographic acquisition that uses frame-to-frame cross-correlation functions of the summed profiles in the vertical and horizontal directions of the planar images to provide quality control on the presence and amount of movement during a single photon emission computed tomographic scan.
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Quantitative analysis of the tomographic thallium-201 myocardial bullseye display: critical role of correcting for patient motion.

TL;DR: Computer programs were developed to quantitate motion between consecutive frames of a [201TI] SPECT myocardial imaging study, simulate nonreturning vertical motion in normal patients, and correct the acquired data for motion.
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Normal SPECT thallium-201 bull's-eye display: gender differences

TL;DR: Clinical data and exercise electrocardiography were used to identify 50 males and 50 females with less than 5% probability of coronary artery disease and results suggest that quantitative analysis of single photon emission computed tomographic 201TI images requires gender-matched normal files.
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A new method for the determination of aortic pulse wave velocity using cross-correlation on 2D PCMR velocity data.

TL;DR: To evaluate the reproducibility of a new multisite axial pulse wave velocity (PWV) measurement technique that makes use of 2D PCMR data and cross‐correlation analysis.