Difference between revisions of "New Distance"
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Image:PW-2015SLC.png|[[2015_Winter_Project_Week#Projects|Projects List]] | Image:PW-2015SLC.png|[[2015_Winter_Project_Week#Projects|Projects List]] | ||
| + | File:Mean distance output.png|[Output from mean distance] | ||
| + | File:New distance output1.png|[Output from new distance] | ||
| + | File:New distance output2.png|[Output from new distance] | ||
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<h3>Progress</h3> | <h3>Progress</h3> | ||
| − | *We've developed and implemented a modified mean distance to incorporate with shape similarity between fiber tracts. The shape similarity model is based on the angle shift among the vectors to direct corresponding sample points along fiber tracts. | + | *We've developed and implemented a modified mean distance to incorporate with shape similarity between fiber tracts. The shape similarity model is based on the angle shift among the vectors to direct corresponding sample points along fiber tracts. The modified mean distance can address the challenge of distincting corpus callosum and mistakenly tracked cingulum bundle. The outputs have a relatively smaller intra-Hausdorff-distance of clustered tracts than the outputs from mean distance. |
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Latest revision as of 14:56, 9 January 2015
Home < New Distance
[Output from mean distance]
[Output from new distance]
[Output from new distance]
Key Investigators
Ruizhi Liao, Lauren O'Donnell
Project Description
Objective
- Develop a modified distance for measuring the similarity between fiber tracts to improve the performance of clustering fiber tracts, especially to distinct corpus callosum and mistakenly tracked cingulum bundle.
Approach, Plan
Progress
- We've developed and implemented a modified mean distance to incorporate with shape similarity between fiber tracts. The shape similarity model is based on the angle shift among the vectors to direct corresponding sample points along fiber tracts. The modified mean distance can address the challenge of distincting corpus callosum and mistakenly tracked cingulum bundle. The outputs have a relatively smaller intra-Hausdorff-distance of clustered tracts than the outputs from mean distance.
