UNC Charlotte Machine Vision Lab
Home
Monday, 12 May 2008
Collaborating Labs
U. of Iowa Biomechanics
Brown U. LEMS Lab
Mid Ocean Studios
Lab Affiliates
Andrew Willis
Don Anderson
Frederic Fol Leymarie
Tom Weldon
Karl Aspelund
Main Menu
Home
Forum
Courses
Projects / Results
News & Events
Lab Calendar
ShaRP 3D Servlet
ImageRover Servlet
Wiki Docs - Contribute!
Image Gallery
Petra Web Database
Search
Links
People
Who's Online
phpBB Login
Username

Password

Remember me
Lost Password??
No account yet? Register
Polls
3D Reconstruction of Highly Fragmented Bone Fractures
Written by vishali   
Friday, 02 March 2007

 

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)

Various Ct Images of fractures of different intensities 

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.

Interactively Segmented FractureSurfaces                        Semi-Automatically aligned bone fragments 

Last Updated ( Wednesday, 05 March 2008 )
Read more...
 
Small Footprint DICOM Image Format Loader
Written by Andrew Willis   
Friday, 21 July 2006

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).



Last Updated ( Wednesday, 03 October 2007 )
Read more...
 
Konica Minolta Vivid 910 3D Digitizer
Written by Andrew Willis   
Monday, 10 April 2006

Laboratory Acquires new Vivid 910 Non-Contact Digitizer 

scanner_image.jpg

 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


Last Updated ( Wednesday, 03 October 2007 )
Read more...
 
<< Start < Prev 1 2 3 4 5 Next > End >>

Results 7 - 9 of 13
 
© 2008 UNC Charlotte Machine Vision Lab
Joomla! is Free Software released under the GNU/GPL License.