surface reconstruction of detect contours for medical image registration purpose
Authors
abstract
although, most of the abnormal structures of human brain do not alter the shape of outer envelope of brain (surface), some abnormalities can deform the surface extensively. however, this may be a major problem in a surface-based registration technique, since two nearly identical surfaces are required for surface fitting process. a type of verification known as the circularity check for the shape of the detected head contours was defined based on the curvature measurement. any unacceptable deformity (or hole) existing in the brain surface can be detected by the circularity check and 'reformed' by a type of interpolation process. two techniques were suggested to 'reform' the abnormal regions and holes on the surfaces: one based on median filtering and another based on contour reflection.
similar resources
Surface reconstruction of detect contours for medical image registration purpose
Although, most of the abnormal structures of human brain do not alter the shape of outer envelope of brain (surface), some abnormalities can deform the surface extensively. However, this may be a major problem in a surface-based registration technique, since two nearly identical surfaces are required for surface fitting process. A type of verification known as the circularity check for th...
full textTowards General-purpose Image Registration
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . xii
full text3D Surface Reconstruction and Registration for Image Guided Medialization Laryngoplasty
The purpose of our project is to develop an image guided system for the medialization laryngoplasty. One of the fundamental challenges in our system is to accurately register the preoperative 3D CT data to the intraoperative 3D surfaces of the patient. In this paper, we will present a combined surface and fiducial based registration method to register the preoperative 3D CT data to the intraope...
full textSurface Reconstruction of Etched Contours
Previously, a computationally efficient and geometrically accurate etching simulation was developed to compute contours of constant depth at different time steps [1]. Experimental verification of this early work has been established [2]. However, contours are not amenable to the analysis and design of microsystems, since it is often necessary to determine object interaction and mechanics in whi...
full textLocal Linear Reconstruction Based Medical Image Registration in DWT Domain
Non rigid image registration assumes a paramount part over medical imaging framework. In the complicated conditions, it is quiet a testing errand. Sometimes the dataset is perverted by spatially varying intensity contortion. To resolve this, issue many techniques based on LLR have been designed. In this paper, the core idea behind the proposed technique is to reduce the reconstruction time by c...
full textContourlet-Based Edge Extraction for Image Registration
Image registration is a crucial step in most image processing tasks for which the final result is achieved from a combination of various resources. In general, the majority of registration methods consist of the following four steps: feature extraction, feature matching, transform modeling, and finally image resampling. As the accuracy of a registration process is highly dependent to the fe...
full textMy Resources
Save resource for easier access later
Journal title:
iranian journal of nuclear medicinePublisher: tehran university of medical sciences
ISSN 1681-2824
volume 10
issue 2 2002
Hosted on Doprax cloud platform doprax.com
copyright © 2015-2023