Scalable, high-performance 3D imaging software platform: System architecture and application to virtual colonoscopy

One of the key challenges in three-dimensional (3D) medical imaging is to enable the fast turn-around time, which is often required for interactive or real-time response. This inevitably requires not only high computational power but also high memory bandwidth due to the massive amount of data that...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society Ročník 2012; s. 3994 - 3997
Hlavní autoři: Yoshida, H., Yin Wu, Wenli Cai, Brett, B.
Médium: Konferenční příspěvek Journal Article
Jazyk:angličtina
Vydáno: United States IEEE 01.01.2012
Témata:
Algorithm design and analysis
Colon
Colon - pathology
Colonography, Computed Tomographic - methods
Colonography, Computed Tomographic - standards
Humans
Imaging
Imaging, Three-Dimensional - methods
Level set
Libraries
Parallel processing
Software
Software - standards
Time Factors
ISBN:1424441196, 9781424441198
ISSN:1094-687X, 1557-170X, 2694-0604, 2694-0604
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí:One of the key challenges in three-dimensional (3D) medical imaging is to enable the fast turn-around time, which is often required for interactive or real-time response. This inevitably requires not only high computational power but also high memory bandwidth due to the massive amount of data that need to be processed. In this work, we have developed a software platform that is designed to support high-performance 3D medical image processing for a wide range of applications using increasingly available and affordable commodity computing systems: multi-core, clusters, and cloud computing systems. To achieve scalable, high-performance computing, our platform (1) employs size-adaptive, distributable block volumes as a core data structure for efficient parallelization of a wide range of 3D image processing algorithms; (2) supports task scheduling for efficient load distribution and balancing; and (3) consists of a layered parallel software libraries that allow a wide range of medical applications to share the same functionalities. We evaluated the performance of our platform by applying it to an electronic cleansing system in virtual colonoscopy, with initial experimental results showing a 10 times performance improvement on an 8-core workstation over the original sequential implementation of the system.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISBN:1424441196
9781424441198
ISSN:1094-687X
1557-170X
2694-0604
2694-0604
DOI:10.1109/EMBC.2012.6346842