Implementing real-time adaptive filtering for medical applications on the cell processor using a generic multicore framework

1 March 2008 Implementing real-time adaptive filtering for medical applications on the cell processor using a generic multicore framework

Olivier Bockenbach, Hauke Bartsch, Sebastian Schuberth

Author Affiliations +

Proceedings Volume 6812, Image Processing: Algorithms and Systems VI; 68120F (2008) https://doi.org/10.1117/12.766306
Event: Electronic Imaging, 2008, San Jose, California, United States

Abstract

Adaptive filtering is a compute-intensive algorithm aimed at effectively reducing noise without blurring the structures contained in a set of digital images. In this study, we take a generalized approach for adaptive filtering based on seven oriented filters, each individual filter implemented by a two-dimensional (2D) convolution with a mask size of 11 by 11 pixels. Digital radiology workflow imposes severe real-time constraints that require the use of hardware acceleration such as provided by multicore processors. Implementing complex algorithms on heterogeneous multicore architectures is a complex task especially for taking advantage of the DMA engines. We have implemented the algorithm on a Cell Broadband Engine (CBE) processor clocked at 3.2 GHz using a generic framework for multicore processors. This implementation is capable of filtering images of 512² pixels at a throughput of 40 frames per second while allowing changing the parameters in real time. The resulting images are directed to the DR monitor or to the real-time computed tomography (CT) reconstruction engine.

Citation Download Citation

Olivier Bockenbach, Hauke Bartsch, and Sebastian Schuberth "Implementing real-time adaptive filtering for medical applications on the cell processor using a generic multicore framework", Proc. SPIE 6812, Image Processing: Algorithms and Systems VI, 68120F (1 March 2008); https://doi.org/10.1117/12.766306

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