Model-based image reconstruction with wavelet sparsity regularization for through-plane resolution restoration in T₂ -weighted spin-echo prostate MRI.

ABSTRACT:

Purpose

The purpose is to develop a model-based image-reconstruction method using wavelet sparsity regularization for maintaining restoration of through-plane resolution but with improved retention of SNR versus linear reconstruction using Tikhonov (TK) regularization in high through-plane resolution (1 mm) T₂ -weighted spin-echo (T2SE) images of the prostate.

Methods

A wavelet sparsity (WS)-regularized image reconstruction was developed that takes as input a set of ≈80 overlapped 3-mm-thick slices acquired using a T2SE multislice scan and typically 30 coil elements. After testing in contrast and resolution phantoms and calibration in 6 subjects, the WS reconstruction was evaluated in 16 consecutive prostate T2SE MRI exams. Results reconstructed with nominal 1-mm

SUBMITTER: Borisch EA 

PROVIDER: S-EPMC9617775 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature