Difference between revisions of "2013 Summer Project Week:3D prostate registration of Ultrasound image using MRI"
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Image:PW-MIT2013.png|[[2013_Summer_Project_Week#Projects|Projects List]] | Image:PW-MIT2013.png|[[2013_Summer_Project_Week#Projects|Projects List]] | ||
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==Key Investigators== | ==Key Investigators== | ||
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* BWH: Demian Wassermann, Andriy Fedorov, Tina Kapur, Sandy Wells (BWH) | * BWH: Demian Wassermann, Andriy Fedorov, Tina Kapur, Sandy Wells (BWH) | ||
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− | A difficult problem in image-guided therapy is to be able to overlay pre-operative plannign with intra-operative imaging for surgical guidance. In this project we implement an algorithm to do that in the case of prostate surgery. We do that through biophysical simulation of the intra-operative tissue dynamics and registration on top of the intra-operative US image. | + | <div style="width: 27%; float: left; padding-right: 3%;"> |
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+ | <h3>Objective</h3> | ||
+ | A difficult problem in image-guided therapy is to be able to overlay pre-operative plannign with intra-operative imaging for surgical guidance. In this project we implement an algorithm to do that in the case of prostate surgery. We do that through biophysical simulation of the intra-operative tissue dynamics and registration on top of the intra-operative US image. Our goal is to develop a module which taking a set of artificially deformed prostate volumes extracted from MRI infers the deformation modes and uses them to register the planning over the US intra-op images. | ||
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</div> | </div> | ||
<div style="width: 27%; float: left; padding-right: 3%;"> | <div style="width: 27%; float: left; padding-right: 3%;"> | ||
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<h3>Approach, Plan</h3> | <h3>Approach, Plan</h3> | ||
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We have a prototype version of the algorithm in Python, the idea is to assess the interactive needs and plugging it into Slicer. | We have a prototype version of the algorithm in Python, the idea is to assess the interactive needs and plugging it into Slicer. | ||
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</div> | </div> | ||
− | <div style="width: | + | <div style="width: 40%; float: left;"> |
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<h3>Progress</h3> | <h3>Progress</h3> | ||
TBD | TBD | ||
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+ | </div> | ||
</div> | </div> | ||
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==Delivery Mechanism== | ==Delivery Mechanism== | ||
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#Slicer Module | #Slicer Module | ||
− | ##Extension | + | ##Extension -- loadable |
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==References== | ==References== | ||
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* Hu, Y., Ahmed, H. U., Taylor, Z., Allen, C., Emberton, M., Hawkes, D., & Barratt, D. (2012). MR to ultrasound registration for image-guided prostate interventions. Medical Image Analysis, 16(3), 687–703. doi:10.1016/j.media.2010.11.003 | * Hu, Y., Ahmed, H. U., Taylor, Z., Allen, C., Emberton, M., Hawkes, D., & Barratt, D. (2012). MR to ultrasound registration for image-guided prostate interventions. Medical Image Analysis, 16(3), 687–703. doi:10.1016/j.media.2010.11.003 |
Revision as of 15:03, 17 June 2013
Home < 2013 Summer Project Week:3D prostate registration of Ultrasound image using MRI
Key Investigators
- BWH: Demian Wassermann, Andriy Fedorov, Tina Kapur, Sandy Wells (BWH)
Objective
A difficult problem in image-guided therapy is to be able to overlay pre-operative plannign with intra-operative imaging for surgical guidance. In this project we implement an algorithm to do that in the case of prostate surgery. We do that through biophysical simulation of the intra-operative tissue dynamics and registration on top of the intra-operative US image. Our goal is to develop a module which taking a set of artificially deformed prostate volumes extracted from MRI infers the deformation modes and uses them to register the planning over the US intra-op images.
Approach, Plan
We have a prototype version of the algorithm in Python, the idea is to assess the interactive needs and plugging it into Slicer.
Progress
TBD
Delivery Mechanism
- Slicer Module
- Extension -- loadable
References
- Hu, Y., Ahmed, H. U., Taylor, Z., Allen, C., Emberton, M., Hawkes, D., & Barratt, D. (2012). MR to ultrasound registration for image-guided prostate interventions. Medical Image Analysis, 16(3), 687–703. doi:10.1016/j.media.2010.11.003