Difference between revisions of "Parth Amin"
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**[https://onedrive.live.com/redir?resid=DBCB19D6C9CCFFA9!122&authkey=!AERBsPF7W2r5DSw&ithint=file%2c.pptx SlicerWelcome] | **[https://onedrive.live.com/redir?resid=DBCB19D6C9CCFFA9!122&authkey=!AERBsPF7W2r5DSw&ithint=file%2c.pptx SlicerWelcome] | ||
**[https://onedrive.live.com/redir?resid=DBCB19D6C9CCFFA9!124&authkey=!AL7k0Iz-EVP-PEY&ithint=file%2c.pptx 3D Data Loading and Visualization] | **[https://onedrive.live.com/redir?resid=DBCB19D6C9CCFFA9!124&authkey=!AL7k0Iz-EVP-PEY&ithint=file%2c.pptx 3D Data Loading and Visualization] | ||
| + | **[https://onedrive.live.com/redir?resid=DBCB19D6C9CCFFA9!155&authkey=!AMWWJF1IxyWEOZo&ithint=file%2cpptx 3D Visualization of DICOM images for Radiology Applications] | ||
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| + | *Tutorials (in progress) | ||
**[https://onedrive.live.com/redir?resid=DBCB19D6C9CCFFA9!135&authkey=!AOhqGXV88qFayas&ithint=file%2cpptx Diffusion Tensor Imaging] | **[https://onedrive.live.com/redir?resid=DBCB19D6C9CCFFA9!135&authkey=!AOhqGXV88qFayas&ithint=file%2cpptx Diffusion Tensor Imaging] | ||
**[https://onedrive.live.com/redir?resid=DBCB19D6C9CCFFA9!128&authkey=!ACqG8fvm0GR5MBU&ithint=file%2c.pptx Neruosurgical Planning] | **[https://onedrive.live.com/redir?resid=DBCB19D6C9CCFFA9!128&authkey=!ACqG8fvm0GR5MBU&ithint=file%2c.pptx Neruosurgical Planning] | ||
**[https://onedrive.live.com/redir?resid=DBCB19D6C9CCFFA9!151&authkey=!ACOtJ4ThFnfLiFY&ithint=file%2cpptx Slicer4 Quantitative Imaging] | **[https://onedrive.live.com/redir?resid=DBCB19D6C9CCFFA9!151&authkey=!ACOtJ4ThFnfLiFY&ithint=file%2cpptx Slicer4 Quantitative Imaging] | ||
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Latest revision as of 15:36, 1 October 2014
Home < Parth AminThis page is intended to document the work by Parth Amin during his lab hours.
- Tutorials (completed)
- Tutorials (in progress)
Lung Segmentation:
Segmentation and 3D surface reconstruction of the lung and pulmonary vessels. From the DataStore module in Slicer, the arteries and veins from the original model of pulmonary vessels can be viewed. In the image below, it represents the most recent status of the segmentation of the lung. The label maps and 3D model is shown in the screenshot to represent the current segmentation.
