Literature DB >> 27025953

X-ray and magnetic resonance imaging fusion for cardiac resynchronization therapy.

Jinwoo Choi1, Perry Radau2, Robert Xu3, Graham A Wright4.   

Abstract

Cardiac Resynchronization Therapy (CRT) can effectively treat left ventricle (LV) driven Heart Failure (HF). However, 30% of the CRT recipients do not experience symptomatic benefit. Recent studies show that the CRT response rate can reach 95% when the LV pacing lead is placed at an optimal site at a region of maximal LV dyssynchrony and away from myocardial scars. Cardiac Magnetic Resonance (CMR) can identify the optimal site in three dimensions (3D). 3D CMR data can be registered to clinical standard x-ray fluoroscopy to achieve an optimal pacing of the LV. We have developed a 3D CMR to 2D x-ray image registration method for CRT procedures. We have employed the LV pacing lead on x-ray images and coronary sinus on MR data as landmarks. The registration method makes use of a guidewire simulation algorithm, edge based image registration technique and x-ray C-arm tracking to register the coronary sinus and pacing lead landmarks.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Cardiac resynchronization therapy; Fusion; Image registration; MRI; X-ray

Mesh:

Year:  2016        PMID: 27025953     DOI: 10.1016/j.media.2016.03.004

Source DB:  PubMed          Journal:  Med Image Anal        ISSN: 1361-8415            Impact factor:   8.545


  2 in total

1.  Surface electrogram-guided left ventricular lead placement improves response to cardiac resynchronization therapy.

Authors:  Abdulcebbar Şipal; Serdar Bozyel; Müjdat Aktaş; Emir Derviş; Tayyar Akbulut; Onur Argan; Umut Çelikyurt; Dilek Ural; Tayfun Şahin; Ayşen Ağır; Ahmet Vural
Journal:  Anatol J Cardiol       Date:  2018-03       Impact factor: 1.596

2.  3D/2D model-to-image registration by imitation learning for cardiac procedures.

Authors:  Daniel Toth; Shun Miao; Tanja Kurzendorfer; Christopher A Rinaldi; Rui Liao; Tommaso Mansi; Kawal Rhode; Peter Mountney
Journal:  Int J Comput Assist Radiol Surg       Date:  2018-05-12       Impact factor: 2.924

  2 in total

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