Long field-of-view MRI using continuous table motion

Stephen J. Riederer, David G. Kruger, Ananth J. Madhuranthakam, Harry H. Hu, James F. Glockner

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

Abstract

A method is presented for formation of an MR image of an arbitrarily long object. This is done by translating the object continuously through the magnetically homogeneous volume of the MRI scanner, acquiring data during table motion, and accounting during the reconstruction for the relative displacement of the object for each measurement. The method is applied to MR imaging of the blood vessels of the abdomen, pelvis, and legs using intravenous administration of contrast material. Real-lime reconstruction allows the operator to dynamically track the flow of contrast material through the legs and potentially adjust the tablc velocity interactively.

Original languageEnglish (US)
Title of host publicationImage Processing, Biomedicine, Multimedia, Financial Engineering and Manufacturing - Proceedings of the Sixth Biannual World Automation Congress
EditorsM. Jamshidi, Y. Hata, A. Kamrani, J.S. Jamshidi
Pages81-86
Number of pages6
Publication statusPublished - 2004
EventImage Processing, Biomedicine, Multimedia, Financial Engineering and Manufacturing - International Forum on Multimedia Image Processing, IFMIP - Sixth Biannual World Automation Congress, WAC 2004 - Seville, Spain
Duration: Jun 26 2004Jul 1 2004

Other

OtherImage Processing, Biomedicine, Multimedia, Financial Engineering and Manufacturing - International Forum on Multimedia Image Processing, IFMIP - Sixth Biannual World Automation Congress, WAC 2004
CountrySpain
CitySeville
Period6/26/047/1/04

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Keywords

  • Blood Vessels
  • Image Acquisition
  • Medical Imaging
  • MRI

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Riederer, S. J., Kruger, D. G., Madhuranthakam, A. J., Hu, H. H., & Glockner, J. F. (2004). Long field-of-view MRI using continuous table motion. In M. Jamshidi, Y. Hata, A. Kamrani, & J. S. Jamshidi (Eds.), Image Processing, Biomedicine, Multimedia, Financial Engineering and Manufacturing - Proceedings of the Sixth Biannual World Automation Congress (pp. 81-86)