3D heart image reconstruction and visualization with marching cubes algorithm

Heart image taken using a CT-scan or MRI is a two-dimensional image. Information obtained from these images is very limited and it takes a lot of pictures from various sides to be able to determine the condition of the heart as a whole. This may slow the process of diagnosis of the heart condition of a patient. This study aims to solve these problems by developing a 3D reconstruction system. Some 2D images taken from different sides, and then go through the filtering to remove noise and sharpen images. The result of filtering is reconstructed using surface rendering technique and implementation of Marching Cubes (MC) algorithm. The MC algorithm used is a standard MC with 15 combinations of the cube. The use of 64 images is sufficient provided that it has an average error of 1%. Preprocessing is essential to obtain segmented part of heart from the original cardiac CT-scan images.