Simpleware 3D Software, published by Synopsys, claims to "comprehensively process 3D image data (MRI, CT, micro-CT, FIB-SEM...) and export models suitable for CAD, CAE and 3D printing".

Simpleware 3D Software, published by Synopsys, claims to "comprehensively process 3D image data (MRI, CT, micro-CT, FIB-SEM...) and export models suitable for CAD, CAE and 3D printing".

Thanks for the suggestion, Sir. The segmentation and meshing can be performed with this one.

First thing would be to have the data 3D MRI dataset in DICOM or NIFTI format, as extracted from the machine, this will ensure you have the proper spacing and dimensions of the image. I'm guessing that you want to do CFD of blood flow inside vessels. In such a case, the best thing is to have a contrast MRI image, as vascular lumen will have a much higher contrast compared to surrounding tissue, improving and facilitating segmentation. If you are looking for free software, I recommend either ITK-snap (www.itksnap.org) and Slicer (www.slicer.org) for general purpose segmentation. If you are looking for vessel segmentation and mesh processing your best option is VMTK (www.vmtk.org) but it requires some programming skills. Search in the tutorials section for step-by-step explanations of their most used features together with some practical examples. It also provides some useful tools for mesh processing (surface and volumetric meshes) covering most steps required before CFD analysis.

Thanks for the information, Sir. Can you please suggest some source of free DICOM data. I have already searched for some data but if you know some good data source then it would really helpful for me.

You can find sample datasets in the image-based modelling tutrial of vmtk:

http://www.vmtk.org/tutorials/ImageBasedModeling.html

I think they correspond to abdominal MRI images, but as far as I understand they are already in vtk format. You can give it a shot at the grand-challenge page:

https://grand-challenge.org/all_challenges/

Is where mayor imaging challenges with available data are published and accessible, perhaps you can find a contrast vascular DICOM dataset there.

Thank s again for sharing the valuable information.