Unknown

Dataset Information

0

Free-breathing whole-heart 3D cine magnetic resonance imaging with prospective respiratory motion compensation.


ABSTRACT: PURPOSE:To develop and validate a new prospective respiratory motion compensation algorithm for free-breathing whole-heart 3D cine steady-state free precession (SSFP) imaging. METHODS:In a 3D cine SSFP sequence, 4 excitations per cardiac cycle are re-purposed to prospectively track heart position. Specifically, their 1D image is reconstructed and routed into the scanner's standard diaphragmatic navigator processing system. If all 4 signals are in end-expiration, cine image data from the entire cardiac cycle is accepted for image reconstruction. Prospective validation was carried out in patients (N?=?17) by comparing in each a conventional breath-hold 2D cine ventricular short-axis stack and a free-breathing whole-heart 3D cine data set. RESULTS:All 3D cine SSFP acquisitions were successful and the mean scan time was 5.9?±?2.7?min. Left and right ventricular end-diastolic, end-systolic, and stroke volumes by 3D cine SSFP were all larger than those from 2D cine SSFP. This bias was?

SUBMITTER: Moghari MH 

PROVIDER: S-EPMC5876089 | biostudies-literature | 2018 Jul

REPOSITORIES: biostudies-literature

altmetric image

Publications

Free-breathing whole-heart 3D cine magnetic resonance imaging with prospective respiratory motion compensation.

Moghari Mehdi H MH   Barthur Ashita A   Amaral Maria E ME   Geva Tal T   Powell Andrew J AJ  

Magnetic resonance in medicine 20171208 1


<h4>Purpose</h4>To develop and validate a new prospective respiratory motion compensation algorithm for free-breathing whole-heart 3D cine steady-state free precession (SSFP) imaging.<h4>Methods</h4>In a 3D cine SSFP sequence, 4 excitations per cardiac cycle are re-purposed to prospectively track heart position. Specifically, their 1D image is reconstructed and routed into the scanner's standard diaphragmatic navigator processing system. If all 4 signals are in end-expiration, cine image data fr  ...[more]

Similar Datasets

| S-EPMC6327532 | biostudies-literature
| S-EPMC3842803 | biostudies-literature
| S-EPMC7737390 | biostudies-literature
| S-EPMC6699991 | biostudies-literature
| S-EPMC6139904 | biostudies-other
| S-EPMC6510595 | biostudies-literature
| S-EPMC7004111 | biostudies-literature
| S-EPMC4226922 | biostudies-literature
| S-EPMC6080614 | biostudies-literature
| S-EPMC3311142 | biostudies-literature