What is the reconstruction of the image?
The reconstruction of the image is to create a two- or three-dimensional image from scattered or incomplete data, such as radiation obtained during a medical imaging study. For some imaging techniques it is necessary to use a mathematical formula to generate a readable and usable image or focus of the image to be useful. For example, when scanning computer tomography (CT), the reconstruction of the image can generate a three -dimensional image of the body from a number of individual images of the camera.
Several problems are a problem with the reconstruction of the image. The first is noise - nonsensical data that can interrupt the clarity of the image. Medical imaging may cause noise due to patient movement, interference, shading and ghostly. For example, one structure in the body could overshadow the other and make it difficult. Filcing for noise is one aspect of image reconstruction.
Another problem is dispersed or incomplete data. With something like, such asx-ray, the picture is taken in one exhibition of the movie,Where X -rays pass through an area of interest and create an image. In other techniques, the patient may be bombarded by radiation or subjected to a magnetic field, generating a significant amount of data to be assembled to create a picture. Instant output is not readable or meaningful for humans, and for generating an image it is necessary to go through an algorithm.
When reconstructing the image, there are several approaches that can be accepted to filter noise without eliminating meaningful data and processing data in a way that makes sense. The iterative reconstruction is a popular technique. The algorithm begins with mapping low -frequency data and creating several data points that form the beginning of the picture. It then overlaps a slightly higher frequency and higher, etc., until a full picture is available.
The creation of a flat image is not the only thing that can be done when reconstruction of the image. A computer can also create a simulated tripleLarge rendition of data by stacking a range of images together. It must be able to sort data to match the cuts properly and must overlap them to create pictures of internal structures. This can help doctors evaluate the problem in more planes, instead of just angles offered by individual images.
medicine is not the only field in which the reconstruction of the image may be useful. It can also be valuable in archeology in which scientists may want to explore the findings without damaging them. During the reconstruction of the picture, images, closed containers and other objects that are interested in learn to learn what is inside.