In medical image software, processing comes right after analyzing. When the analyzing software is done analyzing the data it has been given, the processing software then transforms the acquired data. Although some people think it also does analyze, in essence, it doesn’t. There are 3 ways that the medical image processing software process medical images- image segmentation, image registration, and image visualization. We will discuss all of them below.
Image segmentation is basically taking a big picture and making fragments of it. These fragments or segments must depict a different structure or organ of the patient. Medical image segmentation software can locate anomalies in the region in the patient’s body. These anomalies include tumors, clots, and some other pathology.
Medical image segmentation software can perceive anatomical boundaries. For example, they can identify the boundaries of body structures such as blood vessels. Medical image segmentation software can compute the volumes of specific structures such as anatomical cavities or tumors. It is very useful during the course of treatment of a patient since it can monitor the size of the tumor in that period. This gives the doctor an edge and they can suggest their patients how to fight that growing/decreasing tumor.
Image registration is the process by which medical image processing software or medical image segmentation software aligns the images it was fed in the correct order. When a new image is fed to the already aligned order, this new image is transformed to become aligned with the old ones. The software does this registration using three processes- transformation models, similarity functions, and optimization procedures.
Image registration is useful when doctors want to do computer-assisted surgery. It can also compare different images of the population. Image registration is very valuable when doctors want to monitor a disease over time; it can also fuse images found from different datasets into a single one.
When doctors want to see a dataset from different angles, they use image visualization. This process is done by taking the data, change it if needed, and then seeing it with greater depth and clarity. Visualization gives new perspectives to doctors that are different from the original datasets. There are plenty of post-processing procedures that make sure image visualization is done right.
Image visualization can be used for 3D reconstruction which adds all the sections of the datasets and makes them into a single image. This makes detecting abnormalities easier. Image visualization can also be used for 2D visualization which is the opposite process of 3D reconstruction in that it can display the original images from 2D or 4D reconstruction or it can be used to see the different segments of the original datasets.
Medical imaging processing software is a wonderful tool for doctors to determine or monitor the disease. Lots of diseases are being treated using this technology. A majority of 3D image processing software all for MPR as well.