Image Reconstruction of Tumor Brain Cells
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2016, Vol 18, Issue 3
Abstract
Image reconstruction techniques are used to create 2-D and 3-D images from sets of 1-D projections. These reconstruction techniques form the basis for common imaging modalities such as CT, MRI, and PET, and they are useful in Medicine, Biology, Earth Science, Archaeology, Materials Science, and nondestructive testing. Image reconstruction is an MRI term for the mathematical process of converting the composite signals obtained during the data acquisition phase into an image. A real-world application that requires image reconstruction is X-ray absorption tomography where projections are formed by measuring the attenuation of radiation that passes through a physical specimen at different angles[1]. The original image can be thought of as a cross section through the specimen in which intensity values represent the density of the specimen.Projections are collected by special medical imaging devices and then an internal image of the specimen is reconstructedOur project mainly aims in reconstruction of the damaged cells in the neural system. The images collected will be converted into vectors using MATLAB and then the defect will be identified using any of the following methods i.e. by 1. Pixel method 2. Edge detection method 3. Color contrast method. The later part of the project would be writing an algorithm to reconstruct the image and compare it with the original picture. The reconstructed image will be analyzed and compared with the analysis of neurologist for the quality check.Output is analyzed by evaluating the tumor parameters such as RBF accuracy, linearaccuracy, polygonal accuracy, quadratic accuracy. Two types of tumors are considered and evaluated using features like mean, standard deviation, IDM, contrast, correlation, entropy etc.
Authors and Affiliations
Garima Goyal , Sahana L , Sravani B , Alankrutha M , Shreya S Kumar
Keywords
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