A Deeply Pipelined and Parallel Architecture for Denoising Medical Images

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Details zur Publikation

Autorinnen und Autoren: Hannig F, Schmid M, Teich J, Hornegger H
Titel Sammelwerk: Proceedings - 2010 International Conference on Field-Programmable Technology, FPT'10
Jahr der Veröffentlichung: 2010
Tagungsband: Proc. IEEE International Conference on Field Programmable Technology
Seitenbereich: 485-490
ISBN: 978-1-4244-8982-4


Abstract


In this paper we present an almost automatic synthesis of a highly complex, throughput optimized architecture of an adaptive multiresolution filter as used in medical image processing for FPGAs. The filter consists of 16 parallel working modules, where the most computationally intensive module achieves software pipelining of a factor of 85, that is, computations of 85 iterations overlap each other. By applying a state-of-the-art high-level synthesis tool, we show that this approach can be used for real world applications. In addition, we show that our high-level synthesis tool is capable of significantly reducing the well known productivity gap of embedded system design by almost two orders of magnitude. Finally, we can conclude that the FPGA implementation of the multiresolution image processing algorithm is far ahead of a comparable implementation for graphics cards in terms of power efficiency. © 2010 IEEE.



FAU-Autorinnen und Autoren / FAU-Herausgeberinnen und Herausgeber

Hannig, Frank PD Dr.-Ing.
Lehrstuhl für Informatik 12 (Hardware-Software-Co-Design)
Schmid, Moritz
Lehrstuhl für Informatik 12 (Hardware-Software-Co-Design)
Teich, Jürgen Prof. Dr.-Ing.
Lehrstuhl für Informatik 12 (Hardware-Software-Co-Design)


Einrichtungen weiterer Autorinnen und Autoren

Siemens AG, Healthcare Sector


Zitierweisen

APA:
Hannig, F., Schmid, M., Teich, J., & Hornegger, H. (2010). A Deeply Pipelined and Parallel Architecture for Denoising Medical Images. In Proc. IEEE International Conference on Field Programmable Technology (pp. 485-490). Beijing, CN.

MLA:
Hannig, Frank, et al. "A Deeply Pipelined and Parallel Architecture for Denoising Medical Images." Proceedings of the IEEE International Conference on Field Programmable Technology (FPT'10), Beijing 2010. 485-490.

BibTeX: 

Zuletzt aktualisiert 2018-09-08 um 22:39