Difference between revisions of "2016 Winter Project Week/Projects/ExploringCollaborationVisualization"
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*Sonia Pujol, Ph.D., SPL | *Sonia Pujol, Ph.D., SPL | ||
* Tina Kapur, Ph.D., SPL | * Tina Kapur, Ph.D., SPL | ||
| − | * Ron Kikinis, MD, SPL | + | * Ron Kikinis, MD, BWH |
| + | * Sarah Frisken, MD, SPL | ||
==Project Description== | ==Project Description== | ||
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<!-- Approach and Plan bullet points --> | <!-- Approach and Plan bullet points --> | ||
| − | * Measuring topological variations, especially around cancer tissues, could provide effective medicine and cancer treatment. Computational tools on volume data sets and algorithms implemented into existing platforms such as slicer (3DSlicer.org) can prove useful if they can help with margins during the operations so that only those cells which needed to be out are taken out, not less not more. Dynamically measuring the topological and anatomical variations of medical data sets could lead to applications such as image-guided surgery. The challenge is that it is necessary to differentiate between cancer cell and healthy tissue, and because of the technology both false positive and negative cases have been observed along with deformations, which in volume terms means that same spatial voxels are now occupied by different values. Caveat: it can also mean that different tissues have the same values as well. One of the demos in the conference clarified that the interface has minimal effect in the process during operation (so as not to burden the surgeon) and also has to be better than what the surgeon is used to seeing. | + | * Measuring topological variations, especially around cancer tissues, could provide effective medicine and cancer treatment. |
| + | *Computational tools on volume data sets and algorithms implemented into existing platforms such as slicer (3DSlicer.org) can prove useful if they can help with margins during the operations so that only those cells which needed to be out are taken out, not less not more. | ||
| + | *Dynamically measuring the topological and anatomical variations of medical data sets could lead to applications such as image-guided surgery. | ||
| + | *The challenge is that it is necessary to differentiate between cancer cell and healthy tissue, and because of the technology both false positive and negative cases have been observed along with deformations, which in volume terms means that same spatial voxels are now occupied by different values. | ||
| + | *Caveat: it can also mean that different tissues have the same values as well. One of the demos in the conference clarified that the interface has minimal effect in the process during operation (so as not to burden the surgeon) and also has to be better than what the surgeon is used to seeing. | ||
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<!-- Progress and Next steps bullet points (fill out at the end of project week --> | <!-- Progress and Next steps bullet points (fill out at the end of project week --> | ||
| − | *It is easier to learn from tutorials and they seemed to work quickly -- they are easy to follow. For example, first three tutorials are easy and provide effective guidance to run the slicer and write a simple python code as an extension. | + | *It is easier to learn from tutorials and they seemed to work quickly -- they are easy to follow. |
| − | From the commonGL point of view, some other site to consider | + | *For example, first three tutorials are easy and provide effective guidance to run the slicer and write a simple python code as an extension. |
| + | *If one is trying to change the basic functionality of the Slicer by implementing something deeper insider the main source code then you will have to consider what you are replacing MUST be better than what is already there – this is a hard task as the code which has made in the core of the slicer support many projects so things should not be worse than before. | ||
| + | *From the commonGL point of view, some other site to consider are glslsandbox.com threeJS.org, lux renderer, 4 page of cheat-sheet for webGL as well, for implementing and experimenting with initial ideas. | ||
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==Background and References== | ==Background and References== | ||
<!-- Use this space for information that may help people better understand your project, like links to papers, source code, or data --> | <!-- Use this space for information that may help people better understand your project, like links to papers, source code, or data --> | ||
Latest revision as of 15:02, 8 January 2016
Home < 2016 Winter Project Week < Projects < ExploringCollaborationVisualization
Key Investigators
- SK Semwal, Ph.D., University of Colorado, Colorado Springs
- Steve Pieper, Ph.D., Isomics
- Lauren O'Donnell, MD. SPL
- Michael Halle, Ph.D., SPL
- Sonia Pujol, Ph.D., SPL
- Tina Kapur, Ph.D., SPL
- Ron Kikinis, MD, BWH
- Sarah Frisken, MD, SPL
Project Description
| Objective | Approach and Plan | Progress and Next Steps |
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