A meta registration framework for lesion matching.
A meta registration framework for lesion matching.
复制标题
用于病变匹配的元注册框架。
DOI：
10.1007/978-3-642-04268-3_72
复制
发表时间：
2009
期刊：
影响因子：
--
通讯作者：
Hager,Gregory
中科院分区：
文献类型：
--
作者：
Seshamani,Sharmishtaa;Rajan,Purnima;Kumar,Rajesh;Girgis,Hani;Dassopoulos,Themos;Mullin,Gerard;Hager,Gregory
A variety of pixel and feature based methods have been proposed for registering multiple views of anatomy visible in studies obtained using diagnostic, minimally invasive imaging. A given registration method may outperform another depending on anatomical variations, imaging conditions, and imaging sensor performance, and it is often difficult a priori to determine the best registration method for a particular application. To address this problem, we propose a registration framework that pools the results of multiple registration methods using a decision function for validating registrations. We refer to this asmeta registration.We demonstrate that our framework outperforms several individual registration methods on the task of registering multiple views of Crohn’s disease lesions sampled from a Capsule Endoscopy (CE) study database. We also report on preliminary work on assessing the quality of registrations obtained, and the possibility of using such assessment in the registration framework.
