Automated system for blood flow measurement using MR velocity sensitive imaging

Yaser M. Ibrahim, Michael P. Chwialkowski, Dennis P. Pfeifer, Geoffrey Clarke, Janice Kowal, Glen Wilbert, Ronald M. Penshock

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

1 Scopus citations

Abstract

Quantitative blood flow analysis is an important tool for the diagnosis of many diseases. Magnetic Resonance Imaging (MRI) offers a techniques for estimating pulsatile blood flow using phase difference of velocity-encoded and velocity-compensated image sequences. Here we present an automated system for quantitative analysis and visualization of blood flow and volume.

Original languageEnglish (US)
Title of host publicationProceedings of the Annual Conference on Engineering in Medicine and Biology
PublisherPubl by IEEE
Pages170-171
Number of pages2
Editionpt 1
ISBN (Print)0780313771
StatePublished - 1993
EventProceedings of the 15th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - San Diego, CA, USA
Duration: Oct 28 1993Oct 31 1993

Publication series

NameProceedings of the Annual Conference on Engineering in Medicine and Biology
Numberpt 1
Volume15
ISSN (Print)0589-1019

Other

OtherProceedings of the 15th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
CitySan Diego, CA, USA
Period10/28/9310/31/93

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

Fingerprint

Dive into the research topics of 'Automated system for blood flow measurement using MR velocity sensitive imaging'. Together they form a unique fingerprint.

Cite this