Share Email Print

Proceedings Paper

Optimization model for memory bandwidth usage in x-ray image enhancement
Author(s): Rob Albers; Eric Suijs; Peter H. N. de With
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

In Cardiovascular minimal invasive interventions, physicians require low-latency X-ray imaging applications, as their actions must be directly visible on the screen. The image-processing system should enable the simultaneous execution of a plurality of functions. Because dedicated hardware lacks flexibility, there is a growing interest in using off-the-shelf computer technology. Because memory bandwidth is a scarce parameter, we will focus on optimization methods for bandwidth reduction within multiprocessor systems at the chip level. We create a practical realistic model of required compute and memory bandwidth for a given set of image-processing functions. Similar modeling is applied for the available system resources. We concentrate in particular on X-ray image processing based on multi-resolution decomposition, noise reduction and image-enhancement techniques. We derive formulas for which we can optimize the mapping of the application onto processors, cache and memory for different configurations. The data-block granularity is matched to the memory hierarchy, so that caching will be optimized for low latency. More specifically, we exploit the locality of the signal-processing functions to streamline the memory communication. A substantial performance improvement is realized by a new memorycommunication model that incorporates the data dependencies of the image-processing functions. Results show a memory-bandwidth reduction in the order of 60% and a latency reduction in the order of 30-60% compared to straightforward implementations.

Paper Details

Date Published: 26 February 2008
PDF: 12 pages
Proc. SPIE 6811, Real-Time Image Processing 2008, 681104 (26 February 2008); doi: 10.1117/12.765123
Show Author Affiliations
Rob Albers, Eindhoven Univ. of Technology (Netherlands)
Philips Medical Systems (Netherlands)
Eric Suijs, Philips Medical Systems (Netherlands)
Peter H. N. de With, Eindhoven Univ. of Technology (Netherlands)
LogicaCMG Nederland B.V. (Netherlands)

Published in SPIE Proceedings Vol. 6811:
Real-Time Image Processing 2008
Nasser Kehtarnavaz; Matthias F. Carlsohn, Editor(s)

© SPIE. Terms of Use
Back to Top