Robust abdominal imaging with incomplete breath-holds.

Abstract:

PURPOSE:Breath-holding is an established strategy for reducing motion artifacts in abdominal imaging. However, the breath-holding capabilities of patients are often overstrained by scans with large coverage and high resolution. In this work, a new strategy for coping with resulting incomplete breath-holds in abdominal imaging is suggested. METHODS:A sampling pattern is designed to support image reconstruction from undersampled data acquired up to any point in time using compressed sensing and parallel imaging. In combination with a navigator-based detection of the onset of respiration, it allows scan termination and thus reconstruction only from consistent data, which suppresses motion artifacts. The spatial resolution is restricted by a lower bound of the sampling density and is increased over the scan, to strike a compromise with the signal-to-noise ratio and undersampling artifacts for any breath-hold duration. RESULTS:The sampling pattern is optimized in phantom experiments and is successfully applied in abdominal gradient-echo imaging including water-fat separation on volunteers. CONCLUSIONS:The new strategy provides images in which motion artifacts are minimized independent of the breath-holding capabilities of patients, and which enhance in terms of spatial resolution, signal-to-noise ratio, and undersampling artifacts with the a priori unknown breath-hold duration actually achieved in a particular scan.

journal_name

Magn Reson Med

authors

Gdaniec N,Eggers H,Börnert P,Doneva M,Mertins A

doi

10.1002/mrm.24829

subject

Has Abstract

pub_date

2014-05-01 00:00:00

pages

1733-42

issue

5

eissn

0740-3194

issn

1522-2594

journal_volume

71

pub_type

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