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Projects -
Medical Imaging
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Written by vishali
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Friday, 02 March 2007 10:52 |
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Motivation: Severe limb trauma often generates highly fragmented bones. Accurate reconstruction of the original unbroken bone from the fragments is a key factor in generating favorable outcomes for injury rehabilitation. Below is an image showing different CT scans of broken limbs, each representing a different level of damage. They range from the most simple breaks (7-15 fragments), to the most complex ones (15- >30 fragments) 
Overview: The aim of the project is to design a 3D interactive system capable of semi-automatically aligning fractured bone fragments. The semi-automatic approach shows promise for improving on the geometric alignment of multiple broken fragments which are difficult for surgeons to manually align. Below is a result from the existing bone fragment reassembly system which takes in user input to divide the fracture surfaces for matching it to the right surface. To the right is the result of the reassembled bone.

Implementation: The implementation is done using Java. The Graphical interface used is ShaRP, a 3D servlet used for rendering and manipulating 3D objects.
The present system for aligning the fragments requires human interaction for fracture surface segmentation. To eliminate this step, the concept of spin images is used to automatically identify surfaces which are potential matches.
Updates: The progress of this project will be updated periodically as it gets to completion. Right now I am working on generating spin images for multiple points on the fragment surfaces to be able to match them accurately. |
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Last Updated on Tuesday, 21 October 2008 14:46 |
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News & Notices -
Research News
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Written by Andrew Willis
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Friday, 21 July 2006 10:20 |
Small Code Footprint DICOM Image Loader Completed Recent work involving medical images have motivated the implementation of a robust DICOM image reader. This work has now been completed resulting in one of the most complete open-source Java implementations of the DICOM specification. The implementation is capable of loading 8-bit grayscale, 8-bit color, 16-bit grayscale, and 24-bit color DICOM images where the image data may be uncompressed, run-length encoded, jpeg-lossless compressed, or jpeg-lossy compressed. Also of interest is the implementation of the spatial (sequential) lossless encoding mode (SOF3) of the ISO/IEC also known as JPEGL. Note that this IS NOT an implementation of JPEG-LS. It is an implementation of the original lossless JPEG coding scheme as specified in the ORIGINAL JPEG Internal Standards Organization (ISO) spec : - ISO/IS-10918-1 (JPEG Part 1)
- ISO/IS-10918-2 (JPEG Part 2)
Whereas JPEG-LS is ISO spec ISO/IS-14495-1 (JPEG-LS Part 1). I can find no easy-to-use, small-footprint, open-source Java implementation capable of decoding these streams at full resolution. Some nice things about the implementation is that it requires just a few new classes to run (approximately 6).
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Last Updated on Wednesday, 03 October 2007 04:27 |
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News & Notices -
Research News
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Written by Andrew Willis
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Monday, 10 April 2006 06:39 |
Laboratory Acquires new Vivid 910 Non-Contact Digitizer 
Recently the visionlab has been able to acquire a new piece of lab equipment : a Vivid 910 3D digitizer manufactured by Konica Minolta. This should be a great tool for research and education. Interested readers may read on to know more about this equipment..... - Speed - scans in less than one second (Fast Mode)
- Precision - over 300,000 points with range resolution to 0.0016" (Fine Mode)
- Simplicity - point and shoot simplicity for consistently excellent results
- Flexibility - only Konica Minolta offers interchangeable lenses for variable scanning volumes
Ideal for applications like: - Quality Control Inspection of production parts (e.g. CAT)
- First Article Inspection; Tool and Die Verification
- Industrial Design: capture design studies into CAD database
- Rapid Prototyping Input
- Reverse Engineering: create CAD legacy data from master parts
- 3-D shape capture for Computer Aided Engineering Analysis (CAE and FEA)
- Machine Vision
- Medical Applications: Surgical Planning (maxillofacial, dental and orthopedic), orthotics and prosthetics, plastic surgery, anthropometric measurements
- Archiving: Museums, Artifact cataloging, Archeology, Anthropology research
- Computer graphics: Animation, Computer Simulations
- Web content creation/ on-line product database creation
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Last Updated on Wednesday, 03 October 2007 04:29 |
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