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.

[1]  K S Nikita,et al.  A novel and efficient implementation of the marching cubes algorithm. , 2001, Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society.

[2]  Luciana Porcher Nedel,et al.  Edge Transformations for Improving Mesh Quality of Marching Cubes , 2009, IEEE Transactions on Visualization and Computer Graphics.

[3]  Luciana Porcher Nedel,et al.  Marching Cubes without Skinny Triangles , 2009, Computing in Science & Engineering.

[4]  Li Chen,et al.  Importance-Driven Isosurface Decimation for Visualization of Large Simulation Data Based on OpenCL , 2014, Computing in Science & Engineering.

[5]  Ying Shen,et al.  Medical Image Processing using A Machine Vision-based Approach , 2013 .

[6]  Yihui Liu,et al.  3-D Reconstruction of Medical Image Using Wavelet Transform and Snake Model , 2009, J. Multim..

[7]  Mahani Hafizah,et al.  3D ultrasound image reconstruction based on VTK , 2010 .

[8]  Adam Huang,et al.  On Concise 3-D Simple Point Characterizations: A Marching Cubes Paradigm , 2009, IEEE Transactions on Medical Imaging.

[9]  Fajar Agung Nugroho,et al.  Visualisasi dan Rekonstruksi 3D Citra Medis: Review , 2013 .

[10]  Teodora Szasz,et al.  3D RECONSTRUCTION AND VOLUME COMPUTING IN MEDICAL IMAGING , 2011 .

[11]  Hans-Christian Hege,et al.  3D Reconstruction of Individual Anatomy from Medical Image Data: Segmentation and Geometry Processing , 2007 .

[12]  William E. Lorensen,et al.  Marching cubes: A high resolution 3D surface construction algorithm , 1987, SIGGRAPH.