World’s First 3D Xray Scanner
The MARS bioimaging which is a New Zealand based company, developed world’s first 3D X-ray scanner called MARS Scanner. The scanner was invented and developed by scientist Phil Butler and his son Anthony Butler who are from Canterbury and Otago Universities in New Zealand. The scanner used a collection of various developed chips that capture the individual particles as the camera captures. It uses the Medipix3 chips that worked like the pixel detectors (Marchese K., 2018). The main concept of Medipix is to work like a normal camera to detect and counting each particle that hits the pixels. This enables the scanner to provide high contrast, high resolution, and reliable images that make it unique for many applications in the medical field only (Muller R., 2018).
The medipix3 chips are also enhanced with data processing algorithms that can detect the change in the wavelengths when x-ray passes through the different parts of the body. They also help the scanner to differentiate the muscles, bones, fat, and other liquid of the body. This data is used by the additional software to produce the full-fledged color images of the human body that also allow a three-dimensional view as well (Andrew Liszewski, 2018).
Before the invention of the MARS scanners small version of it is being used to diagnose the cancer, bone and joint health of the person, as these are the diseases which are not easy to diagnose. But studies show that the regular checkups of the body, with the 3D scanner, can help a lot in detecting these chronic diseases in the early stages and that too with accuracy which can save the life of the person with the customization of the treatment (Rohman T., 2018).
The company which is linked to Universities of Otago and Canterbury that is, MARS Bioimaging Ltd. is going to commercialize the product. These universities with the collaboration of other 20 research institutes are going to make the third generation of the Medipix called Medipix Collaboration. This advanced chip is going to produce enhanced detailed images of the subject and that too with the highest accuracy such that no other device can achieve that clarity in the images and that too with the highest accuracy. The thing which makes it different from the other tools is the accurate energy resolution and its small pixels which gives the high definition detailed images (Muller R., 2018).
This technology incorporates the technology that was discovered by the Higgs Boson in year 2012, and that technology was developed for the CERN’s Hadron Collider, which incorporates the technology for the particle tracking. This is the technology that has been used by the father and son combo for the 3D X-Ray scanning and makes the diagnostic simple for the patients and going to bring the revolution in the medical field (Straitstimes, 2018).
The CERN Knowledge Transfer group is the knowledge partner for the Medipix collaboration which has the expertise in the transferring technologies, and that can be used in the medical applications. The memorandum of understanding i.e. license agreement has been signed between the CERN (for Medipix collaboration) and MARS Bioimaging Ltd. for the transfer of the technology so that, it can make the diagnose of the chronic diseases easy and a satisfy the people needs for the disease diagnosis (Muller R., 2018).
The first trial for this is going to be in New Zealand for the orthopedic and rheumatology patients so that it can be made to use for the routine check-ups by the clinics and its potential can be used for the proper diagnosis by the new generation medial gadget (Muller R., 2018). This machine will simply create the 3D model for the human body on the screen distinguishing every part of the human body (Marchese K., 2018). This imaging process will be assisted by the software which will help in creating the clearer images for the subject and can help in the diagnose of the other disease as well, which was not in the notice of the patient. So, with the advancement in technology, it is good to have advancement in the medical field for the wellbeing (Andrew Liszewski, 2018).
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