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The Pros of Mimics as the Medical Image Processing Software

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As the technologies driving more and more innovation, more tools to assist in doctors or medicine students diagnosing problem of their patients. For those in this medical field, they will be thankful and realize the importance of medical imaging technology. Medical imaging is a technique and processes used to create the images of human body part for clinical purposes.

There are many software developed for this purpose ranging from open source medical image processing software like the ImageJ, ITK and GemIdent and proprietary medical image processing software like MIMViewer, SureVistaVision and Mimics. Each of the software has its own pros and cons, while some will have more pros than cons. All the software are good, each one assisting doctors in many ways and Mimic is one of those that the doctors would like to use for researches.

Why choose Mimics when there are many other software to choose from, one would ask. Mimics is the standard for processing and editing medical images based on CT and MRI data and it is a leading 3D medical image processing software that allows one to shift from 2D to 3D with the most accuracy and flexibility. The software developer ensures that the software is developed in an extremely intuitive environment and has very friendly user interface. Mimics was tailored to meets each individual needs because it was developed as a modular system, which also means that each modules can be combine making it a very powerful tools to process the medical images.

As one of the standard for processing and editing medical images, Mimics has done a very good job in lifting researchers’ biomedical R&D to the next level. Many researchers are recommending the software because of its user friendliness user interface and the easiness of using the software.

Tags: medical imaging, 3D, CT, MRI, software, image processing, FEA, CFD, CAD, volume rendering, segmentattion, medical modeling, STL, IGES, RP, mesh, biomedical engineering, biomechanics, scanner data

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