Analysis Convolution Of Kernel Matrixes - 1949 Words

Andrei Marroquin BENG 495 WA2 Title: Convolution of Kernel Matrixes Abstract I. INTRODUCTION Medical imaging is a technique used to recreate images coming from different devices. These visualizations of the interior structure of the body are of great importance in regards to the medical field, because these images are used for diagnosing or treating several diseases. In addition, medical imaging is a powerful tool that helps to in analyzing mechanical and chemical properties of an organ or tissue. In fact, medical imaging made it possible to identify diverse abnormalities in humans. These images can be obtained from Computed Tomography (CT), Magnetic Resonance Imaging (MRI), X-Rays, Ultrasound, positron emission tomography (PET), etc.†¦show more content†¦Once this point is reached, pulses of radio-frequency are emitted by antennas that excite the nuclear spin energy transition and an image is formed [1]. Since MRI is a non-invasive procedure (MRI does not use any ionizing radiation like X-Rays) and the resulting images are produced in a high resolution is preferab le to work with DICOM images from MRI. In addition, MRI can be used to obtain information about the structure and composition of the body to be later analyzed. In fact, its main use in medicine is to observe changes in soft tissues and detect a possible sarcoma. Also, it is not only used in the medical field but also is used industrially for analyzing the structure of both organic and inorganic materials [2]. Since medical imaging process requires to have a lot of experience, the aim of this project is designing a MATLAB program that is capable of sharpening image by edge-detection, simple moving average filter, and noise reduction among other features to make it easy for the physician to do it on its own. For this particular project the usage of Kernel matrixes and other Matlab functions will be required in order to obtain the desire outcome [3]. Some of these results will be obtained by using convolution and other build-in function. In addition, this program will be user friendly for the physicians and any other clinical member. II. Methods Image-processing technologies use multipixel operations with