Difference between revisions of "2014 Summer Project Week:MR-Ultrasound Registration for Prostate Interventions"

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==Key Investigators==
 
==Key Investigators==
Chenxi Zhang, SPL/FudanU
+
* Chenxi Zhang, SPL/FudanU
Andriy Fedorov, SPL
+
* Andriy Fedorov, SPL
Andras
+
* Andras
  
 
==Project Description==
 
==Project Description==
 
<div style="margin: 20px;">
 
<div style="margin: 20px;">
Prostate cancer is a kind of common cause of cancer in men in many countries.Transrectal ultra- sound (TRUS) is the most commonly used modality for guiding needle biopsies and minimally-invasive surgical interventions for the treatment of prostate cancer. However,it is difficult to accruately distinguish tumors in B-mode TRUS images. Magnetic resonance (MR) is a very promising technique for prostate biopsies and prostate intervention. Disadvantages of MR-guided prostate biopsies and prostate intervention are that
+
Prostate cancer is a kind of common cause of cancer in men in many countries. Transrectal ultra- sound (TRUS) is the most commonly used modality for guiding needle biopsies and minimally-invasive surgical interventions for the treatment of prostate cancer. However,it is difficult to accurately distinguish tumors in B-mode TRUS images. Magnetic resonance (MR) is a very promising technique for prostate biopsies and prostate interventions. Disadvantages of MR-guided prostate biopsies and prostate interventions are that MRI is an expensive method and not widely available. MR-Ultrasound registration can improve TRUS imaging and take advantages of both modalities. The object of this project it to develop a method of MR-Ultrasound image registration for prostate intervention.
RI is an expensive method and not widely available.MR to ultrasound registration can improve TRUS imaging and take advantages of both modalities. The object of this project it to develop a method for registrating MR-Ultrasound prostate images.
 
 
<div style="width: 27%; float: left; padding-right: 3%;">
 
<div style="width: 27%; float: left; padding-right: 3%;">
 
<h3>Objective</h3>
 
<h3>Objective</h3>
*
+
* Develop a method of MR-Ultrasound images registration for prostate intervention.
 
</div>
 
</div>
 
<div style="width: 27%; float: left; padding-right: 3%;">
 
<div style="width: 27%; float: left; padding-right: 3%;">
 
<h3>Approach, Plan</h3>
 
<h3>Approach, Plan</h3>
*
+
* Extract prostate from MR image and Ultrasound image
 +
* Calculate distance maps for segmented MR image and Ultrasound image
 +
* Do registration for distance maps of MR image and Ultrasound image using Slicer module of "BRAINSFit"
 +
* Calculate registration errors
 
</div>
 
</div>
 
<div style="width: 27%; float: left; padding-right: 3%;">
 
<div style="width: 27%; float: left; padding-right: 3%;">

Revision as of 19:51, 12 June 2014

Home < 2014 Summer Project Week:MR-Ultrasound Registration for Prostate Interventions

Key Investigators

  • Chenxi Zhang, SPL/FudanU
  • Andriy Fedorov, SPL
  • Andras

Project Description

Prostate cancer is a kind of common cause of cancer in men in many countries. Transrectal ultra- sound (TRUS) is the most commonly used modality for guiding needle biopsies and minimally-invasive surgical interventions for the treatment of prostate cancer. However,it is difficult to accurately distinguish tumors in B-mode TRUS images. Magnetic resonance (MR) is a very promising technique for prostate biopsies and prostate interventions. Disadvantages of MR-guided prostate biopsies and prostate interventions are that MRI is an expensive method and not widely available. MR-Ultrasound registration can improve TRUS imaging and take advantages of both modalities. The object of this project it to develop a method of MR-Ultrasound image registration for prostate intervention.

Objective

  • Develop a method of MR-Ultrasound images registration for prostate intervention.

Approach, Plan

  • Extract prostate from MR image and Ultrasound image
  • Calculate distance maps for segmented MR image and Ultrasound image
  • Do registration for distance maps of MR image and Ultrasound image using Slicer module of "BRAINSFit"
  • Calculate registration errors

Progress