Literature DB >> 15464880

Computerised planning of the acquisition of cardiac MR images.

Clare E Jackson1, Matthew D Robson, Jane M Francis, J Alison Noble.   

Abstract

A method to automatically plan acquisition of magnetic resonance images aligned with the cardiac axes is presented. Localiser images are acquired with a mean short axis orientation calculated from a group of (n=50) adult patients. These images are segmented using the expectation maximization algorithm. The borders of the ventricular blood pools are found and used to provide an estimate of the orientation of the cardiac axes. These estimated orientations are compared with corresponding manually aligned orientations. The method has been tested on n=12 volunteers showing an error of within 12 degrees which is sufficiently accurate for clinical use.

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Year:  2004        PMID: 15464880     DOI: 10.1016/j.compmedimag.2004.03.006

Source DB:  PubMed          Journal:  Comput Med Imaging Graph        ISSN: 0895-6111            Impact factor:   4.790


  3 in total

1.  Accuracy of short-axis cardiac MRI automatically derived from scout acquisitions in free-breathing and breath-holding modes.

Authors:  M G Danilouchkine; J J M Westenberg; B P F Lelieveldt; J H C Reiber
Journal:  MAGMA       Date:  2005-01-28       Impact factor: 2.310

2.  Deep Learning-based Prescription of Cardiac MRI Planes.

Authors:  Kevin Blansit; Tara Retson; Evan Masutani; Naeim Bahrami; Albert Hsiao
Journal:  Radiol Artif Intell       Date:  2019-11-27

3.  Closed-loop control of k-space sampling via physiologic feedback for cine MRI.

Authors:  Francisco Contijoch; Yuchi Han; Srikant Kamesh Iyer; Peter Kellman; Gene Gualtieri; Mark A Elliott; Sebastian Berisha; Joseph H Gorman; Robert C Gorman; James J Pilla; Walter R T Witschey
Journal:  PLoS One       Date:  2020-12-29       Impact factor: 3.752

  3 in total

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