English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
 
 
DownloadE-Mail
  Proton Density Mapping and Receiver Bias Correction for Absolute Quantification with MR Fingerprinting

Deshmane, A., McGivney, D., Jiang, Y., Ma, D., & Griswold, M. (2017). Proton Density Mapping and Receiver Bias Correction for Absolute Quantification with MR Fingerprinting. Poster presented at 25th Annual Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine (ISMRM 2017), Honolulu, HI, USA.

Item is

Files

show Files

Locators

show
hide
Description:
-
OA-Status:

Creators

show
hide
 Creators:
Deshmane, A1, Author           
McGivney, D, Author
Jiang, Y, Author
Ma, D, Author
Griswold, M, Author
Affiliations:
1External Organizations, ou_persistent22              

Content

show
hide
Free keywords: -
 Abstract: MR Fingerprinting (MRF) can simultaneously map multiple parameters and can be used to compute estimates of tissue fractions. However, MRF-derived M maps contain information about both proton density (PD) and the receiver sensitivity profile (RP). Here we estimate relative PD and RP from MRF M and T maps. Relative PD and tissue fractions are combined for absolute quantity mapping of CSF, gray matter, and white matter as a fraction of the voxel equilibrium magnetization.

Details

show
hide
Language(s):
 Dates: 2017-04
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: -
 Degree: -

Event

show
hide
Title: 25th Annual Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine (ISMRM 2017)
Place of Event: Honolulu, HI, USA
Start-/End Date: 2017-04-22 - 2017-04-27

Legal Case

show

Project information

show

Source 1

show
hide
Title: 25th Annual Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine (ISMRM 2017)
Source Genre: Proceedings
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: - Sequence Number: 1358 Start / End Page: - Identifier: -