CONFERENCE PROCEEDINGS
Advanced Search
Home > Proceedings > Volume 10949 > Article
Presentation
14 March 2019 Automatic identification of coronary arteries and viewpoints in 2D x-ray angiography using deep learning (Conference Presentation)
Tanveer F. Syeda-Mahmood, Hui Tang
Author Affiliations +
Proceedings Volume 10949, Medical Imaging 2019: Image Processing; 109491A (2019) https://doi.org/10.1117/12.2513170
Event: SPIE Medical Imaging, 2019, San Diego, California, United States
Abstract
The growth in volume of multi-dimensional imaging and the advent of high resolution scanners is placing a large viewing burden on clinicians. In many situations, summaries of these studies would suffice, particularly for quick viewing, easy transport and procedure planning. One easy way to organize these studies is by viewpoints depicting left and right coronary arteries. This is a difficult problem, however, requiring automated methods to (a) extract coronary arteries, (b) recognize identity of arteries as left or right coronary arteries, and recognize (c) the viewpoints from which they are taken to examine their potential pathologies. In this paper, we present a deep learning solution that addresses this problem by using a segmentation network for detection of coronary arteries and a residual deep learning network for recognizing simultaneously the viewpoint and artery identity. Results show that the deep learning method produces reliable classification for many viewpoints.
Conference Presentation
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Citation Download Citation
Tanveer F. Syeda-Mahmood and Hui Tang "Automatic identification of coronary arteries and viewpoints in 2D x-ray angiography using deep learning (Conference Presentation)", Proc. SPIE 10949, Medical Imaging 2019: Image Processing, 109491A (14 March 2019); https://doi.org/10.1117/12.2513170
ACCESS THE FULL ARTICLE
ORGANIZATIONAL
Sign in with credentials provided by your organization.
INSTITUTIONAL
Select your institution to access the SPIE Digital Library.
SELECT YOUR INSTITUTION
PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.
PERSONAL SIGN IN
No SPIE Account? Create one
PURCHASE THIS CONTENT
SUBSCRIBE TO DIGITAL LIBRARY
50 downloads per 1-year subscription
Members: $195
Non-members: $335 ADD TO CART
25 downloads per 1 - year subscription
Members: $145
Non-members: $250 ADD TO CART
PURCHASE SINGLE ARTICLE
Includes PDF, HTML & Video, when available
Members: $17.00
Non-members: $21.00 ADD TO CART
PROCEEDINGS
 PRESENTATION
WATCH
PRESENTATION SAVE TO MY LIBRARY
GET CITATION
Advertisement
Advertisement
KEYWORDS
Arteries
Angiography
X-rays
Image resolution
Pathology
Scanners
RELATED CONTENT
Subscribe to Digital Library
Receive Erratum Email Alert
Back to Top