Academic Journal
An augmented reality system for image guidance of transcatheter procedures for structural heart disease.
| Title: | An augmented reality system for image guidance of transcatheter procedures for structural heart disease. |
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| Authors: | Jun Liu, Subhi J Al'Aref, Gurpreet Singh, Alexandre Caprio, Amir Ali Amiri Moghadam, Sun-Joo Jang, S Chiu Wong, James K Min, Simon Dunham, Bobak Mosadegh |
| Source: | PLoS ONE, Vol 14, Iss 7, p e0219174 (2019) |
| Publisher Information: | Public Library of Science (PLoS), 2019. |
| Publication Year: | 2019 |
| Collection: | LCC:Medicine LCC:Science |
| Subject Terms: | Medicine, Science |
| More Details: | 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. |
| Document Type: | article |
| File Description: | electronic resource |
| Language: | English |
| ISSN: | 1932-6203 |
| Relation: | https://doaj.org/toc/1932-6203 |
| DOI: | 10.1371/journal.pone.0219174 |
| Access URL: | https://doaj.org/article/c17a357bd227401f81d2056ba1b28408 |
| Accession Number: | edsdoj.17a357bd227401f81d2056ba1b28408 |
| Database: | Directory of Open Access Journals |
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| ISSN: | 19326203 |
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| DOI: | 10.1371/journal.pone.0219174 |
| Published in: | PLoS ONE |
| Language: | English |