Automated image registration by maximization of a region similarity metric
نویسندگان
چکیده
This paper presents a robust algorithm for automated registration of images related by rigid-body transformations. This algorithm uses a new region-based similarity metric , which enables accurate registration of images of large contrast diierences. Region segmentation required by the metric is accomplished using a multiscale segmentation algorithm , and minimization of this metric is done using the Powell direction set method. Experimental results are presented to demonstrate that the algorithm is eeective for aligning images from single or multiple imaging modalities without the use of any du-cial markers.
منابع مشابه
Automated registration of multimodality images by maximization of a region similarity measure
This paper presents a robust algorithm for automated registration of images related by rigid-body transformations. This algorithm uses a new region-based similarity metric, which enables accurate registration of images of large contrast diierences. Region segmentation required by the metric is accomplished using a multiscale segmentation algorithm, and minimization of this metric is done using ...
متن کاملA new hybrid particle swarm optimization for mutlimodal brain image registration
Image registration is an important issue in medical analysis. In this process the spatial transformation that aligns the reference image and the floating image is estimated by optimizing a similarity metric. Mutual information (MI), a popular similarity metric, is a reliable criterion for medical image registration. In this paper, we present an improved method for multimodal image registration ...
متن کاملA Novel Subsampling Method for 3D Multimodality Medical Image Registration Based on Mutual Information
Mutual information (MI) is a widely used similarity metric for multimodality image registration. However, it involves an extremely high computational time especially when it is applied to volume images. Moreover, its robustness is affected by existence of local maxima. The multi-resolution pyramid approaches have been proposed to speed up the registration process and increase the accuracy of th...
متن کاملECSE 626 Project Report Multimodality Image Registration by Maximization of Mutual Information
In 1997, Maes et al. [5] was one of the first papers to propose mutual information as a similarity metric for performing multimodal image registration. More than ten years later, mutual information is now found at the core of many state-of-the-art image registration algorithms [2]. The aim of this project is to demonstrate its simplicity, accuracy, and robustness, by implementing the original a...
متن کاملAn Automated MR Image Segmentation System Using Multi-layer Perceptron Neural Network
Background: Brain tissue segmentation for delineation of 3D anatomical structures from magnetic resonance (MR) images can be used for neuro-degenerative disorders, characterizing morphological differences between subjects based on volumetric analysis of gray matter (GM), white matter (WM) and cerebrospinal fluid (CSF), but only if the obtained segmentation results are correct. Due to image arti...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Int. J. Imaging Systems and Technology
دوره 8 شماره
صفحات -
تاریخ انتشار 1997