An Analytical Method to Compare Image Processing Filters for 3D Reconstruction of Ultrasonic Images
Asad Babakhani, Zhijiang Du, Lining Sun, Cheng Wen, Kardan Reza, Mianji A. Fereidoun · 2007
Precise 3D reconstructions of 2D ultrasonic images are important for robot navigation. In this paper a new analytical method to select the best image processing filters for 3D reconstruction of ultrasonic has been proposed. It is based on four goals: signal to noise enhancement, errors caused by filters in 2D images and 3D shapes and visual appearance. It is found the adaptive nonlocal filtering (OFS) has the best quality in aspect of error in 2D and 3D features and promoting signal to noise. The analytical method has been examined by real ultrasonic images of patients and simulated images made by Field II. It is suggested to use OFS filter for robust ultrasonic 3D reconstruction.