Abstract

Info

Title:: Three-dimensional medical image reconstruction using inverse distance weight and improved data synthesis of sampling points

Author(s):: GONG Ning; WANG Yu; WANG Yifu; XIAO Hongbing; SUN Mei; School of Artificial Intelligence, Beijing Technology and Business University, Beijing 100048, China

Keywords:: Keywords: medical image three-dimensional reconstruction ray casting algorithm inverse distance weight sampling point

Abstract:: Abstract: Although the traditional volume rendering algorithm using ray casting has become one of the mainstream methods for three-dimensional (3D) image reconstruction in medical imaging, the imaging quality and rendering speed still cannot meet the requirements for clinical medical diagnosis. A 3D image reconstruction algorithm using inverse distance weight and improved data synthesis of sampling points is proposed, with inverse distance weight to reduce the rendering time, and increasing number of sampling points to enhance the imaging quality of 3D image reconstruction. The experimental results reveal that the proposed algorithm can enhance the rendering speed while improving imaging quality. Compared with the traditional method, the 3D image reconstruction algorithm using inverse distance weight and improved data synthesis of sampling points increases the conical rendering speed by 20%, enhances the hip joint rendering speed by 18%, and has smaller MSE and higher SSIM in conical image reconstruction.