Meeting Banner
Abstract #2029

Characterization of human brain IVIM signal using two-dimensional T2-diffusivity spectrum analysis based on multi-echo diffusion MRI

Zhangxuan Hu1,2, Divya Varadarajan1,2, Yohan Jun1,2, Grant A. Hartung1,2,3, Ana Arsenovic1,2, Laura D. Lewis1,4,5, Susie Yi Huang1,2,6, Kenneth M. Kwong1,2,7, Berkin Bilgic1,2,6, Bruce Rosen1,2,6, and Jonathan R. Polimeni1,2,6
1Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States, 2Department of Radiology, Harvard Medical School, Boston, MA, United States, 3Institute for Mechanics, Computational Mechanics Group, Technical University of Darmstadt, Darmstadt, Germany, 4Institute for Medical Engineering and Sciences, Massachusetts Institute of Technology, Cambridge, MA, United States, 5Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, United States, 6Harvard-MIT Program in Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, United States, 7Department of Biomedical Engineering, Boston University, Boston, MA, United States

Synopsis

Keywords: IVIM, IVIM

Motivation: It is still controversial whether the parameters derived from conventional IVIM data measured in brain tissue truly arise from vascular compartments. Concerns have been raised about biases introduced by contamination from CSF due to partial volume effects.

Goal(s): Removing CSF contamination and characterizing human brain IVIM signals.

Approach: A two-dimensional T2-diffusivity spectrum analysis based on multi-echo diffusion MRI was used to separate distinct compartments.

Results: The results indicate the existence of a blood and both a fast and slow CSF component. CSF contamination can be effectively removed with this approach.

Impact: We demonstrated that CSF contamination in human brain IVIM signals can be effectively removed with a two-dimensional T2-diffusivity spectrum analysis based on multi-echo diffusion MRI. Whether the extracted blood compartment can reveal microvascular flow information will require further studies.

How to access this content:

For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.

After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.

After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.

Click here for more information on becoming a member.

Abstract

Keywords