A comprehensive lung CT landmark pair dataset for evaluating deformable image registration algorithms.

ABSTRACT:

Purpose

Deformable image registration (DIR) is a key enabling technology in many diagnostic and therapeutic tasks, but often does not meet the required robustness and accuracy for supporting clinical tasks. This is in large part due to a lack of high-quality benchmark datasets by which new DIR algorithms can be evaluated. Our team was supported by the National Institute of Biomedical Imaging and Bioengineering to develop DIR benchmark dataset libraries for multiple anatomical sites, comprising of large numbers of highly accurate landmark pairs on matching blood vessel bifurcations. Here we introduce our lung CT DIR benchmark dataset library, which was developed to improve upon the number and distribution of landmark pairs in current public lung CT benchmark datasets.

Acquisition

SUBMITTER: Criscuolo ER 

PROVIDER: S-EPMC11302745 | biostudies-literature | 2024 May

REPOSITORIES: biostudies-literature