A parallel approach for affine transform of 3D biomedical images
In biomedical imaging systems, the analysis of the interior of an organ is critical to detect eventual diseases or for surgical operations. So, to get a better view of the organs in 3D coordinate system, the affine transform (AT) has to be applied on the acquired volumetric image. The AT is also applied for biomedical CT image registration. The AT consists of four basic operations viz. rotation, shearing, scaling and translation. In this paper, we have proposed a new algorithm for applying the AT on 3D images. This algorithm exploits the replication of the voxel location to obtain the AT of a volumetric image. This helps in reducing the number of matrix multiplication almost by 50% compared to the conventional algorithm and increases the speed of the execution by a factor of 2. The proposed algorithm is simulated using MATLAB. The algorithm is much faster compared to the conventional method without deteriorating the quality of the 3D image.