2014 Project Week:AblationSuccessRatePredictionUsingJointImageAndShapeAnalysis - Revision history

Ygao: /* Key Investigators */

2014-01-10T16:18:00Z

Key Investigators

Ygao: /* Key Investigators */

2014-01-10T15:11:05Z

Key Investigators

Ygao: /* Key Investigators */

2014-01-06T20:17:28Z

Key Investigators

Ygao: /* References */

2014-01-06T17:40:27Z

References

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2014-01-06T17:38:45Z

Created page with ' <gallery> Image:PW-SLC2014.png|Projects List Image:FibrosisPval20130526.png|p-value between DCE-MRI between cured patiens and AFib recurren…'

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<gallery>
Image:PW-SLC2014.png|[[2014_Winter_Project_Week#Projects|Projects List]]
Image:FibrosisPval20130526.png|p-value between DCE-MRI between cured patiens and AFib recurrent patient.
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==Key Investigators==
* Yi Gao, LiangJia Zhu, Josh Cates, Rob MacLeod, Sylvain Bouix, Ron Kikinis, Allen Tannenbaum

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<h3>Objective</h3>
Among the AFib patients underwent RF ablation, the relative high AFib recurrence rate is a concern. We combine both the image and shape information for the purpose of predicting the RF ablation success rate.

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<h3>Approach, Plan</h3>
The fibrosis distributions on the left atrium wall is imaged using the dynamic contrast enhanced MRI. Distributed on different anatomical structures, they are considered as "mass" defined on different domains. Under the framework of the optimal mass transport (OMT), the masses are transported to a common domain where the statistical analysis can then be applied. The significant different regions are then characterized by the low-p-value regions.

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<h3>Progress</h3>
* Discussion with Josh about similar work. CARMA has also work on this using particle based shape analysis on surface. This module uses volumetric OMT for the wall volume.
* Next
** validation on particle/OMT based methods
** Test Extension and then Nightly build

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==Delivery Mechanism==

This work will be delivered to the NA-MIC Kit as a commandline extension.

==References==
* [http://www.na-mic.org/Wiki/index.php/DBP3:Utah Utah DBP]
* Y Gao, Y Rathi, S Bouix, A Tannenbaum; ''Filtering in the Diffeomorphism Group and the Registration of Point Sets''; IEEE Transactions on Image Processing 21 (10), 4383--4396
* Y. Gao and S. Bouix, ''Synthesis of realistic subcortical anatomy with known surface deformations''; in MICCAI Workshop on Mesh Processing in Medical Image Analysis, 2012, pp. 80–88.

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 <h3>Progress</h3>
 * C++ code ready
-* Discuss with DBP collaborators and start writing the manuscript
+* Six months
-* Started constructing the CLI extension
+** Discuss with DBP collaborators and start writing the manuscript

← Older revision		Revision as of 15:11, 10 January 2014
Line 28:		Line 28:
	<h3>Progress</h3>		<h3>Progress</h3>
	* C++ code ready		* C++ code ready
		+	* Discuss with DBP collaborators and start writing the manuscript
		+	* Started constructing the CLI extension

← Older revision		Revision as of 20:17, 6 January 2014
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	<h3>Progress</h3>		<h3>Progress</h3>
−	* ~~Discussion with Josh about similar work. CARMA has also work on this using particle based shape analysis on surface. This module uses volumetric OMT for the wall volume.~~	+	* C++ code ready
−	* Next
−	** validation on particle/OMT based methods
−	** Test Extension and then Nightly build

@@ Line 42: / Line 42: @@
 ==References==
 * [http://www.na-mic.org/Wiki/index.php/DBP3:Utah Utah DBP]
-* Y Gao, Y Rathi, S Bouix, A Tannenbaum; ''Filtering in the Diffeomorphism Group and the Registration of Point Sets''; IEEE Transactions on Image Processing 21 (10), 4383--4396
+* Y. Gao, A. Tannenabum, S. Bouix; "A Framework for Joint Image-and-Shape Analysis"; SPIE Medical Imaging. 2014
 * Y. Gao and S. Bouix, ''Synthesis of realistic subcortical anatomy with known surface deformations''; in MICCAI Workshop on Mesh Processing in Medical Image Analysis, 2012, pp. 80–88.