Meeting Banner
Abstract #1289

Improving time resolution in the imaging of metabolic dynamics using Compressed Sensing from 2D Heteronuclear Multiple Quantum Coherence

Utako Yamamoto1, Hirohiko Imai1, Kei Sano1, Masayuki Ohzeki2, Tetsuya Matsuda1, and Toshiyuki Tanaka1

1Department of Systems Science, Kyoto University, Kyoto, Japan, 2Department of Applied Information Sciences, Tohoku University, Sendai, Japan

We propose a compressed sensing reconstruction method with high time resolution for imaging fast metabolic dynamics from sequential data measured using 2D 1H-13C heteronuclear multiple quantum coherence (HMQC) MRSI. Optimization using the alternating direction method of multipliers (ADMM) is employed to incorporate prior knowledge about the substance distribution.

The 2D-HMQC MRSI with pseudo-random undersampling is applied to tumor-bearing mice after the injection of [U-13C] glucose. From the resulting data, we successfully reconstruct time-series of the in vivo density of three substances (glucose, lactate, and fat) at a high time resolution of 2.25 min.

This abstract and the presentation materials are available to members only; a login is required.

Join Here