Meeting Banner
Abstract #4283

Iterative Compressed Sensing Reconstruction Using Forward Model Based on MR Multi-Parameter

Jinseong Jang 1 , Tae-Joon Eo 1 , Narae Choi 1 , Minoh Kim 1 , Dongyeob Han 1 , Dong-Hyun Kim 1 , and Dosik Hwang 1

1 School of Electrical and Electronic Engineering, Yonsei University, Seoul, Korea

Magnetic resonance fingerprinting is a method that can quantitatively estimate MR parameters such as T1, T2 of specific tissues, by matching pattern of signal evolution obtained from the scanner with the pattern of signal evolution that is generated from MR forward modelling. the well-accepted Cartesian trajectory needs to be considered for robust implementation of MRF for fast processing In this study, efficient iterative compressed sensing (CS) reconstruction method is proposed to highly accelerate the Cartesian-trajectory based acquisition for MRF, leading to the reduction factor up to 16.

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

Join Here