DWI based thermometry: The effects of b-values, resolutions, signal-to-noise ratio, and magnet strength

Koji Sakai, Ryo Sakamoto, Tomohisa Okada, Naozo Sugimoto, Kaori Togashi

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

7 Scopus citations

Abstract

Among MR methods, the most clinically applicable temperature measurement method at deep brain might be the diffusion-weighted image (DWI) thermometry. Although only applicable to cerebrospinal fluid (CSF), it is thought to be potentially useful in assessing the thermal pathophysiology of the brain in both patients and healthy subjects. The purpose of this study was to investigate the effects of b-value, pixel resolution, magnet strength and signal to noise ratio (SNR) for the DWI-thermometry with healthy volunteer. Formerly, an ADC from b=0 and b=1000 has been thought to be useful for diffusion thermometry, this study revealed b=200 to 800 was more appropriate for DWI thermometry. The SNR was strongly affected the results of DWI thermometry.

Original languageEnglish (US)
Title of host publication2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2012
Pages2291-2293
Number of pages3
DOIs
StatePublished - 2012
Externally publishedYes
Event34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2012 - San Diego, CA, United States
Duration: Aug 28 2012Sep 1 2012

Publication series

NameProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
ISSN (Print)1557-170X

Other

Other34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2012
Country/TerritoryUnited States
CitySan Diego, CA
Period8/28/129/1/12

ASJC Scopus subject areas

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

Fingerprint

Dive into the research topics of 'DWI based thermometry: The effects of b-values, resolutions, signal-to-noise ratio, and magnet strength'. Together they form a unique fingerprint.

Cite this