Computer
Graphics and Image
Processing Group
Federal University of Rio Grande do Sul |
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Back to Research | Liver VR |
Project Summary
Anatomic hepatectomies are liver surgical procedures in which the vessel distribution within the organ is taken into account when deciding the location for resections. This project aims at reconstructing patient specific liver models for the planning of this kind of surgery. In such operations, it is crucial for the surgeon to correctly estimate the volume of the remaining living and functioning tissue. Arbitrary resections could cause stasis or ischemia for parts of the remaining tissue. As these parts cannot function, the patient may not survive due to insuficient functioning tissue. The tools we are developing aid in correctly estimate the volume of the actually functional remaining tissue.
Besides building models, this project also aims at efficiently visualizing data from the models. Our approach focuses on mobile devices, as tablets and smartphones, on which experienced and apprentice surgeons could better visualize the inner body in 3D. We believe this is useful for surgery planning, for more efficient medical training and for doctor-patient communication.
Contributions
New: MMVR 2012 poster and paper.
DEBARBA, H. G. ; GRANDI, J. G. ; MACIEL, A. ; ZANCHET, D. J. Anatomic Hepatectomy Planning through Mobile Display Visualization and Interaction. In: Studies in Health Technology and Informatics: Medicine Meets Virtual Reality 19 - parallel, combinatorial, convergent: NextMed by Design. 2012; v: p-p. Westwood, J.D., et al. (eds.). IOS Press, Amsterdam (2012).
See more in publications.
Videos
<coming soon>
Web resources
Liver planning prototype on Unity3D. Click here.
Image gallery. Here.
Download
(download is free for academic purposes; please cite our works above). Material is copyrighted and some methods have a patent pending.
Description | File | size (MB) |
iPad volume navigator | not yet available | |
Android volume navigator | LivAR.apk | 3.5 |
Image volume for android (place this file on android root folder) | body01.raw | 22.5 |
QC marker for the programs above | liverVR_tag.pdf | 0.16 |
Windows binaries | LiverSegments.zip | 29.9 |
SmartContour.zip | 7.2 | |
Viewer.zip | 19.5 | |
Source code (not documented) | src.zip | 43 |
MS Visual Studio projects | LiverSegments.zip | 8.3 |
SmartContour.zip | 28.5 | |
Additional libraries for MS Visual Studio | includes.zip | 254.2 |
Known bugs and features | known bugs.txt | 0.005 |
Volume CT dataset and triangle mesh examples | data.zip | 4.8 |
Funding
This project is funded by CNPq-Brazil through grants 302679/2009-0, 483814/2010-5 and other scholarships.
It has also the support of Fapergs.
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The CGIP group is
part of the Department of Applied Infotmatics.
Last updated in Jan 25th, 2012.