High performance ultrasound simulation using Monte-Carlo simulation: a GPU ray-tracing implementation

Tomás Pérez Cambet; Santiago Vitale; Ignacio Larrabide

doi:10.1117/12.2576099

3 November 2020 High performance ultrasound simulation using Monte-Carlo simulation: a GPU ray-tracing implementation

Tomás Pérez Cambet, Santiago Vitale, Ignacio Larrabide

Proceedings Volume 11583, 16th International Symposium on Medical Information Processing and Analysis; 115830D (2020) https://doi.org/10.1117/12.2576099
Event: The 16th International Symposium on Medical Information Processing and Analysis, 2020, Lima, Peru

Abstract

Medical ultrasound has gained relevance in medical diagnosis, procedure guidance and emergentology. It is a low cost, safe and non-invasive practice, while obtaining real-time results. Limitations on working hours and ultrasound equipment have made simulation the main alternative for training, since it eliminates the need for a real ultrasound machine and allows the modeling of a large number of case studies. Patient 11 from the 3D-IRCADb-01 CT-scans data-set was used to generate corresponding OBJ mesh files. A JSON file carries relevant information of the scene and tissues involved in it. Monte-Carlo simulation over GPU is used to improve ray tracing performance on a deterministic surface model. An improvement in ray tracing performance and throughput is achieved by the presented model. In execution cases presented, a minimum global acceleration of 30% is reached, while reducing ray tracing times by at least 80%. Monte-Carlo simulation allows a more realistic image generation than the previous deterministic model. Low memory usage gives room to implement the remaining stages of the process on GPU. A correct parametrization of tissues is required in order to achieve improved image quality.

Citation Download Citation

Tomás Pérez Cambet, Santiago Vitale, and Ignacio Larrabide "High performance ultrasound simulation using Monte-Carlo simulation: a GPU ray-tracing implementation", Proc. SPIE 11583, 16th International Symposium on Medical Information Processing and Analysis, 115830D (3 November 2020); https://doi.org/10.1117/12.2576099

ACCESS THE FULL ARTICLE

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
9 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Monte Carlo methods

Computer simulations

Ultrasonography

Device simulation

3D modeling

Performance modeling

Ray tracing

Show All Keywords

Keywords/Phrases

Search In:

Publication Years