3D analysis of myocardial perfusion from vasodilator stress computed tomography: Can accuracy be improved by iterative reconstruction?

Victor Mor-Avi*, Nadjia Kachenoura, Nicole M. Bhave, Benjamin H. Freed, Michael Vannier, Karin Dill, Roberto M. Lang, Amit R. Patel

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Computed tomography (CT) is an emerging tool to detect stress-induced myocardial perfusion abnormalities. We hypothesized that iterative reconstruction (IR) could improve the accuracy of the detection of significant coronary artery disease using quantitative 3D analysis of myocardial perfusion during vasodilator stress.

Original languageEnglish (US)
Title of host publicationComputing in Cardiology 2013, CinC 2013
Pages819-822
Number of pages4
StatePublished - Dec 1 2013
Event2013 40th Computing in Cardiology Conference, CinC 2013 - Zaragoza, Spain
Duration: Sep 22 2013Sep 25 2013

Publication series

NameComputing in Cardiology
Volume40
ISSN (Print)2325-8861
ISSN (Electronic)2325-887X

Other

Other2013 40th Computing in Cardiology Conference, CinC 2013
CountrySpain
CityZaragoza
Period9/22/139/25/13

ASJC Scopus subject areas

  • Computer Science(all)
  • Cardiology and Cardiovascular Medicine

Fingerprint Dive into the research topics of '3D analysis of myocardial perfusion from vasodilator stress computed tomography: Can accuracy be improved by iterative reconstruction?'. Together they form a unique fingerprint.

Cite this