scispace - formally typeset
Journal ArticleDOI

Evaluation of Registration Methods on Thoracic CT: The EMPIRE10 Challenge

Reads0
Chats0
TLDR
The organization of the challenge, the data and evaluation methods and the outcome of the initial launch with 20 algorithms, which comprised the comprehensive evaluation and comparison of 20 individual algorithms from leading academic and industrial research groups are detailed.
Abstract
EMPIRE10 (Evaluation of Methods for Pulmonary Image REgistration 2010) is a public platform for fair and meaningful comparison of registration algorithms which are applied to a database of intra patient thoracic CT image pairs. Evaluation of nonrigid registration techniques is a nontrivial task. This is compounded by the fact that researchers typically test only on their own data, which varies widely. For this reason, reliable assessment and comparison of different registration algorithms has been virtually impossible in the past. In this work we present the results of the launch phase of EMPIRE10, which comprised the comprehensive evaluation and comparison of 20 individual algorithms from leading academic and industrial research groups. All algorithms are applied to the same set of 30 thoracic CT pairs. Algorithm settings and parameters are chosen by researchers expert in the con figuration of their own method and the evaluation is independent, using the same criteria for all participants. All results are published on the EMPIRE10 website (http://empire10.isi.uu.nl). The challenge remains ongoing and open to new participants. Full results from 24 algorithms have been published at the time of writing. This paper details the organization of the challenge, the data and evaluation methods and the outcome of the initial launch with 20 algorithms. The gain in knowledge and future work are discussed.

read more

Content maybe subject to copyright    Report

Citations
More filters
Journal ArticleDOI

Deformable Medical Image Registration: A Survey

TL;DR: This paper attempts to give an overview of deformable registration methods, putting emphasis on the most recent advances in the domain, and provides an extensive account of registration techniques in a systematic manner.
Journal ArticleDOI

Whole-Brain Imaging with Single-Cell Resolution Using Chemical Cocktails and Computational Analysis

TL;DR: CUBIC enables time-course expression profiling of whole adult brains with single-cell resolution and develops a whole-brain cell-nuclear counterstaining protocol and a computational image analysis pipeline that enable the visualization and quantification of neural activities induced by environmental stimulation.
Journal ArticleDOI

MIND: Modality independent neighbourhood descriptor for multi-modal deformable registration

TL;DR: A modality independent neighbourhood descriptor (MIND), based on the concept of image self-similarity, which has been introduced for non-local means filtering for image denoising, is proposed and applied for the registration of clinical 3D thoracic CT scans between inhale and exhale as well as the alignment of 3D CT and MRI scans.
References
More filters
Journal ArticleDOI

Image registration methods: a survey

TL;DR: A review of recent as well as classic image registration methods to provide a comprehensive reference source for the researchers involved in image registration, regardless of particular application areas.
Journal ArticleDOI

A survey of image registration techniques

TL;DR: This paper organizes this material by establishing the relationship between the variations in the images and the type of registration techniques which can most appropriately be applied, and establishing a framework for understanding the merits and relationships between the wide variety of existing techniques.
Journal ArticleDOI

A reproducible evaluation of ANTs similarity metric performance in brain image registration.

TL;DR: This is the first study to use a consistent transformation framework to provide a reproducible evaluation of the isolated effect of the similarity metric on optimal template construction and brain labeling, and to quantify the similarity of templates derived from different subgroups.
Journal ArticleDOI

elastix : A Toolbox for Intensity-Based Medical Image Registration

TL;DR: The software consists of a collection of algorithms that are commonly used to solve medical image registration problems, and allows the user to quickly configure, test, and compare different registration methods for a specific application.
Journal ArticleDOI

A survey of medical image registration.

TL;DR: A survey of recent publications concerning medical image registration techniques is presented, according to a model based on nine salient criteria, the main dichotomy of which is extrinsic versus intrinsic methods.
Related Papers (5)