An augmented reality system for image guidance of transcatheter procedures for structural heart disease.

TitleAn augmented reality system for image guidance of transcatheter procedures for structural heart disease.
Publication TypeJournal Article
Year of Publication2019
AuthorsLiu J, Al'Aref SJ, Singh G, Caprio A, Moghadam AAli Amiri, Jang S-J, S Wong C, Min JK, Dunham S, Mosadegh B
JournalPLoS One
Volume14
Issue7
Paginatione0219174
Date Published2019
ISSN1932-6203
KeywordsAugmented Reality, Cardiac Catheterization, Cardiac Surgical Procedures, Catheters, Fiducial Markers, Fluoroscopy, Fourier Analysis, Heart, Humans, Imaging, Three-Dimensional, Models, Anatomic, Patient Care Planning, Phantoms, Imaging, Preoperative Care, Printing, Three-Dimensional, Spine, Surgery, Computer-Assisted, Tomography, X-Ray Computed
Abstract

The primary mode of visualization during transcatheter procedures for structrural heart disease is fluoroscopy, which suffers from low contrast and lacks any depth perception, thus limiting the ability of an interventionalist to position a catheter accurately. This paper describes a new image guidance system by utilizing augmented reality to provide a 3D visual environment and quantitative feedback of the catheter's position within the heart of the patient. The real-time 3D position of the catheter is acquired via two fluoroscopic images taken at different angles, and a patient-specific 3D heart rendering is produced pre-operatively from a CT scan. The spine acts as a fiduciary land marker, allowing the position and orientation of the catheter within the heart to be fully registered. The automated registration method is based on Fourier transformation, and has a high success rate (100%), low registration error (0.42 mm), and clinically acceptable computational cost (1.22 second). The 3D renderings are displayed and updated on the augmented reality device (i.e., Microsoft HoloLens), which can provide pre-set views of various angles of the heart using voice-command. This new image-guidance system with augmented reality provides a better visualization to interventionalists and potentially assists them in understanding of complicated cases. Furthermore, this system coupled with the developed 3D printed models can serve as a training tool for the next generation of cardiac interventionalists.

DOI10.1371/journal.pone.0219174
Alternate JournalPLoS One
PubMed ID31260497
PubMed Central IDPMC6602420
Related Institute: 
Dalio Institute of Cardiovascular Imaging (Dalio ICI)

Weill Cornell Medicine
Department of Radiology
525 East 68th Street New York, NY 10065