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]] | ||
| + | Image:ProstateBarrat-MIT2013.png|[[2013_Summer_Project_Week:3D_prostate_registration_of_Ultrasound_image_using_MRI|Prostate Model from Hu et al. 2013]] | ||
| + | Image:ProstateResylt-MIT2013.png|[[2013_Summer_Project_Week:3D_prostate_registration_of_Ultrasound_image_using_MRI|Results of the prostate processing]] | ||
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</gallery> | </gallery> | ||
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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> | ||
| − | + | After careful discussion in the IGT breakout and interaction with Clare Tempany, we devised how to present results for the surgeons performing image guided biopsies. We were able to obtain results in this format. The next step is to develop a slicer module that can perform this work within the 3D Slicer platform. | |
| + | </div> | ||
</div> | </div> | ||
==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 | ||
Latest revision as of 14:58, 21 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
After careful discussion in the IGT breakout and interaction with Clare Tempany, we devised how to present results for the surgeons performing image guided biopsies. We were able to obtain results in this format. The next step is to develop a slicer module that can perform this work within the 3D Slicer platform.
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
