Difference between revisions of "2013 Summer Project Week:3D prostate segmentation of Ultrasound image"

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<h3>Objective</h3>
 
<h3>Objective</h3>
 
Segmentation of prostate gland from 3D Transrectal Ultrasound images.
 
Segmentation of prostate gland from 3D Transrectal Ultrasound images.
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Our goal is to work out a deformable model that can segment the prostate gland well, we are trying to find an appropriate energy function that can have good segmentation result for Ultrasound images.
  
  
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<div style="width: 27%; float: left; padding-right: 3%;">
 
<h3>Approach, Plan</h3>
 
<h3>Approach, Plan</h3>
* Our goal is to work out a deformable model that can segment the prostate gland well, we are trying to find an appropriate energy function that can have good segmentation result for Ultrasound images.
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Our proach is active contour
 
 
 
</div>
 
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Revision as of 16:57, 17 June 2013

Home < 2013 Summer Project Week:3D prostate segmentation of Ultrasound image


Key Investigators

  • Nanjing University of Science and Technology: Xu Li
  • BWH: Andriy Fedorov, Tina Kapur , William Wells

Objective

Segmentation of prostate gland from 3D Transrectal Ultrasound images. Our goal is to work out a deformable model that can segment the prostate gland well, we are trying to find an appropriate energy function that can have good segmentation result for Ultrasound images.




Approach, Plan

Our proach is active contour 

Progress


Delivery Mechanism

This work is in very early stages of exploration.

References

JieHuang,Xiaoping Yang,Yunmei Chen. A fast algorithm for global minimization of maximum liklihood based on ultrasound image segmentation. Inverse Problems and Imaging.Volume 5, No. 3, 2011, 645–657.