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Progressive Data Transmission for Anatomical Landmark Detection in a Cloud
- Source :
- Methods of Information in Medicine. 51:268-278
- Publication Year :
- 2012
- Publisher :
- Georg Thieme Verlag KG, 2012.
-
Abstract
- SummaryBackground: In the concept of cloud-computing-based systems, various authorized users have secure access to patient records from a number of care delivery organizations from any location. This creates a growing need for remote visualization, advanced image processing, state-of-the-art image analysis, and computer aided diagnosis.Objectives: This paper proposes a system of algorithms for automatic detection of anatomical landmarks in 3D volumes in the cloud computing environment. The system addresses the inherent problem of limited bandwidth between a (thin) client, data center, and data analysis server.Methods: The problem of limited bandwidth is solved by a hierarchical sequential detection algorithm that obtains data by progressively transmitting only image regions required for processing. The client sends a request to detect a set of landmarks for region visualization or further analysis. The algorithm running on the data analysis server obtains a coarse level image from the data center and generates landmark location candidates. The candidates are then used to obtain image neighborhood regions at a finer resolution level for further detection. This way, the landmark locations are hierarchically and sequentially detected and refined.Results: Only image regions surrounding landmark location candidates need to be trans- mitted during detection. Furthermore, the image regions are lossy compressed with JPEG 2000. Together, these properties amount to at least 30 times bandwidth reduction while achieving similar accuracy when compared to an algorithm using the original data.Conclusions: The hierarchical sequential algorithm with progressive data transmission considerably reduces bandwidth requirements in cloud-based detection systems.
- Subjects :
- 020205 medical informatics
Computer science
Health Informatics
Image processing
02 engineering and technology
Lossy compression
030218 nuclear medicine & medical imaging
Access to Information
03 medical and health sciences
0302 clinical medicine
Health Information Management
Artificial Intelligence
Image Interpretation, Computer-Assisted
Pathology
0202 electrical engineering, electronic engineering, information engineering
Bandwidth (computing)
Humans
Computer vision
Sequential algorithm
Feature detection (computer vision)
Advanced and Specialized Nursing
business.industry
computer.file_format
Magnetic Resonance Imaging
Visualization
JPEG 2000
Artificial intelligence
Anatomy
Tomography, X-Ray Computed
business
computer
Algorithms
Medical Informatics
Image compression
Subjects
Details
- ISSN :
- 2511705X and 00261270
- Volume :
- 51
- Database :
- OpenAIRE
- Journal :
- Methods of Information in Medicine
- Accession number :
- edsair.doi.dedup.....ea21495c35f79c84a56e2999ce4d7444