Which library is the best for medical image segmentation? Are they adapted for MRI data processing?
Different Focus
ITK : Basic image processing, segmentation, registration for medical image data (2D, 3D, …)
OpenCV: Computer vision in general,basic image processing part for 2D images
PLUS machine learning
In case of algorithms, provided by both, OpenCV and ITK
ITK : Better integration in MITK Filter
OpenCV : Faster
To Implementation http://midas.kitware.com/item/view/595
There are additional ITKv4 capabilities under development including new Video classes that will permit you to move between OpenCV and ITK and back as well as GPU support using OpenCL.
ITK :
Kitware offers ITK Training Courses, for more information visit:
http://www.kitware.com/products/protraining.html
Please keep messages on-topic and check the ITK FAQ at:
http://www.itk.org/Wiki/ITK_FAQ
ITK-OpenCV-Bridge-Tutorial :
https://github.com/InsightSoftwareConsortium/ITK-OpenCV-Bridge-Tutorial
introduces the software bridge between ITK and OpenCV. The goal is to illustrate how ITK image analysis functionalities can be used from OpenCV applications.
For medical imaging is better ITK. You can work with volumes in ITK and in OpenCV (using IPLImage arrays), but if yo want to work with medical formats (dicom, nii, mhd, etc.), it is dificult to read these king of files in OpenCV, but in ITK is easy to load these.
For medical Images you can use ITK or IGSTK(Image guided surgery tool kit). They are able to handle different modality of medical images like CT, MRI...
Different Focus
ITK : Basic image processing, segmentation, registration for medical image data (2D, 3D, …)
OpenCV: Computer vision in general,basic image processing part for 2D images
PLUS machine learning
In case of algorithms, provided by both, OpenCV and ITK
ITK : Better integration in MITK Filter
OpenCV : Faster
To Implementation http://midas.kitware.com/item/view/595
There are additional ITKv4 capabilities under development including new Video classes that will permit you to move between OpenCV and ITK and back as well as GPU support using OpenCL.
ITK :
Kitware offers ITK Training Courses, for more information visit:
http://www.kitware.com/products/protraining.html
Please keep messages on-topic and check the ITK FAQ at:
http://www.itk.org/Wiki/ITK_FAQ
ITK-OpenCV-Bridge-Tutorial :
https://github.com/InsightSoftwareConsortium/ITK-OpenCV-Bridge-Tutorial
introduces the software bridge between ITK and OpenCV. The goal is to illustrate how ITK image analysis functionalities can be used from OpenCV applications.
I think that OepnCV is more faster than ITK. But, ITK proposes more functions related to medical applications.
Apart from ITK or OpenCV libraries, one needs to design their own algorithm for their targeted segmentation task.
There are some tools and plugins for interactive medical image segmentation, you may explore these by their source code to further improve the result
Interactive Segmentation Tools
1) For 2D images Human guided scribble based interactive segmentation tool.
Links:
http://kspace.cdvp.dcu.ie/public/interactive-segmentation/
http://www.youtube.com/watch?v=efUh0zcpsXc
2) For 3D images MITK Interactive segmentation tool
Links:
http://www.mitk.org/Interactive_segmentation
http://www.youtube.com/watch?v=hEZsQsTxMlo
3) For 3D images FIJI (ImageJ2) Interactive segmentation tool
Links:
http://132.187.25.13/home/?category=Download&page=SegmentationEditor
http://fiji.sc (or) http://rsbweb.nih.gov/ij/
http://www.youtube.com/watch?v=tC-b-BFq6jk
4) GIMP - GNU Image Manipulation Program (Open source alternative to Adobe Photoshop)
http://docs.gimp.org/en/gimp-tools-selection.html
http://www.gimp.org/
http://www.youtube.com/watch?v=p0VbK6MjEv8
Thank you Chanukya for this summarizing reply. Other technical suggestions are always welcome.
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