Plastimatch Dose Warping - National Alliance for Medical Image
Transcription
Plastimatch Dose Warping - National Alliance for Medical Image
3D Slicer Training Compendium Plastimatch Dose Warping Tutorial Version 1.0, May 19, 2011 Nadya Shusharina, Gregory C. Sharp Department of Radiation Oncology Massachusetts General Hospital Massachusetts General Hospital National Alliance for Medical Image Computing -1- Learning Objective This tutorial is a step-by-step guide, and includes: 1) Downloading the Plastimatch extension to 3D Slicer 2) Loading the DICOM and DICOM-RT data 3) Running deformable registration 4) Running dose warping 5) Exporting DICOM-RT data The plastimatch web site is: http://plastimatch.org Massachusetts General Hospital National Alliance for Medical Image Computing -2- Prerequisites This tutorial assumes that you have already downloaded the sample data. You can get the data from here: http://forge.abcd.harvard.edu/gf/download/frsrelease/85/1828/popi-plan.tar.gz Massachusetts General Hospital National Alliance for Medical Image Computing -3- Part 1: Downloading the Plastimatch Extension Massachusetts General Hospital National Alliance for Medical Image Computing -4- (This part of the tutorial might not work correctly, pending the Slicer 3.6 release) Massachusetts General Hospital National Alliance for Medical Image Computing -5- Start up 3D Slicer Choose “Extension Manager” from the “View” menu Massachusetts General Hospital National Alliance for Medical Image Computing -6- Click “Next” Massachusetts General Hospital National Alliance for Medical Image Computing -7- Find the plastimatch plugin, and click “Select” Then, click “Download and Install” Massachusetts General Hospital National Alliance for Medical Image Computing -8- The “Status” should become green Click “Next” Massachusetts General Hospital National Alliance for Medical Image Computing -9- Restart 3D Slicer Massachusetts General Hospital National Alliance for Medical Image Computing -10- Part 2: Loading the DICOM and DICOM-RT data Massachusetts General Hospital National Alliance for Medical Image Computing -11- Start up 3D Slicer Massachusetts General Hospital National Alliance for Medical Image Computing -12- In the “Plastimatch” menu, choose “DICOM/DICOM-RT Import” Massachusetts General Hospital National Alliance for Medical Image Computing -13- Choose “t00” as “Input DICOM directory” by clicking on any file in it Massachusetts General Hospital National Alliance for Medical Image Computing -14- Specify the “Output Image” by choosing “Create New Volume” and Renaming it as “t00” Then click “Open” Massachusetts General Hospital National Alliance for Medical Image Computing -15- Click “Apply” Importing the data takes about 12 seconds on Intel Xeon 2GHz CPU Massachusetts General Hospital National Alliance for Medical Image Computing -16- You should see something like this. To adjust the views click on “Fit to window” Massachusetts General Hospital National Alliance for Medical Image Computing -17- Specify the second “Input DICOM directory” by clicking on any file in “t50” directory Massachusetts General Hospital National Alliance for Medical Image Computing -18- Specify three outputs: Image, Labelmap and Dose Image Choose “Create New Volume” and Rename as “t50”, “t50-lm”, and “t50-d” Massachusetts General Hospital National Alliance for Medical Image Computing -19- After you click “Apply” importing the data takes about 18 seconds on Intel Xeon 2GHz CPU The structures in the DICOM-RT structure set will be imported as a labelmap Massachusetts General Hospital National Alliance for Medical Image Computing -20- Part 3: Running Deformable Registration Massachusetts General Hospital National Alliance for Medical Image Computing -21- Choose “t00” as a foreground and “t50” as a background image in all panels and select “None” in labelmap window Use the “Manipulate Slice Views” slider to blend between foreground and background Massachusetts General Hospital National Alliance for Medical Image Computing -22- First, the images have to be aligned in PA direction Click on the transform chooser button Choose “Create New Linear Transform” in Transform Node and type -84.4 in PA Translation selector, then press Enter Massachusetts General Hospital National Alliance for Medical Image Computing -23- Click on the scene chooser button Drug “t50” into Linear Transform sub-tree and click on “Harden Transforms” Repeat with “t50-lm” and “t50-d” Massachusetts General Hospital National Alliance for Medical Image Computing -24- Go back to “Plastimatch” module and choose “B-spline deformable registration” Massachusetts General Hospital National Alliance for Medical Image Computing -25- Set “Fixed Volume” to “t00” We'reSet going to modify the color of “Moving Volume” to “t50” the moving volume. Choose “mov” Set “Output Volume” to as the active volume. “Create New Volume” Set “Output B-spline transform” to “Create New BSpline Transform” Massachusetts General Hospital National Alliance for Medical Image Computing -26- In “Stage 1 Options” set “Grid Size (mm)” to 80 and click “Apply” Registration takes about 90 seconds on Intel Xeon 2GHz CPU Massachusetts General Hospital National Alliance for Medical Image Computing -27- When the registration is complete, the warped image is automatically displayed You can check on the registration quality by manipulating the slice view between foreground and background Massachusetts General Hospital National Alliance for Medical Image Computing -28- There is now B-spline deformable registration Transform in the MRML Tree Massachusetts General Hospital National Alliance for Medical Image Computing -29- Part 4: Running Structures and Dose Warping Massachusetts General Hospital National Alliance for Medical Image Computing -30- Go back to “Plastimatch” module and choose “XFORMWARP Warping with transform” Massachusetts General Hospital National Alliance for Medical Image Computing -31- To warp the structures set “Input Volume” to “t50-lm” Set “Input transform (MRML)” to “B-spline deformable registration transform” In “Output Volume” choose “Create New Volume” and Rename as “t00-lm” Massachusetts General Hospital National Alliance for Medical Image Computing -32- After you click “Apply” warping takes about 3.5 minutes on Intel Xeon 2GHz CPU The structures will be displayed automatically as a volume Massachusetts General Hospital National Alliance for Medical Image Computing -33- To warp the dose set “Input Volume” to “t50-d” In “Output Volume” choose “Create New Volume” and Rename as “t00-d” Massachusetts General Hospital National Alliance for Medical Image Computing -34- After you click “Apply” warping takes about 7 seconds on Intel Xeon 2GHz CPU The dose will be displayed automatically as a volume Massachusetts General Hospital National Alliance for Medical Image Computing -35- Part 5: Exporting DICOM-RT Data Massachusetts General Hospital National Alliance for Medical Image Computing -36- Go back to “Plastimatch” module and choose “DICOM/DICOM-RT Export” Massachusetts General Hospital National Alliance for Medical Image Computing -37- Set “Output directory” to “t00” Set “Dose Volume” to “t00-d” Click “Apply” Exporting the data is instant on Intel Xeon 2GHz CPU Massachusetts General Hospital National Alliance for Medical Image Computing -38- Conclusion Congratulations! You have completed the tutorial. Please send corrections or suggestions to: Greg Sharp gcsharp@partners.org Or visit the web page at: http://plastimatch.org Massachusetts General Hospital National Alliance for Medical Image Computing -39- Acknowledgements National Alliance for Medical Image Computing NIH U54EB005149 National Institutes of Health NIH / NCI 6-PO1 CA 21239 Federal share of program income earned by MGH on C06CA059267 Progetto Rocca Foundation A collaboration between MIT and Politecnico di Milano Massachusetts General Hospital National Alliance for Medical Image Computing -40-
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