Highly Accurate Fast Lung CT Registration

Jan Rühaak, Stefan Heldmann, Till Kipshagen, Bernd Fischer

Abstract

Lung registration in thoracic CT scans has received much attention in the medical imaging community. Possible applications range from follow-up analysis, motion correction for radiation therapy, monitoring of air flow and pulmonary function to lung elasticity analysis. In a clinical environment, runtime is always a critical issue, ruling out quite a few excellent registration approaches. In this paper, a highly efficient variational lung registration method based on minimizing the normalized gradient fields distance measure with curvature regularization is presented. The method ensures diffeomorphic deformations by an additional volume regularization. Supplemental user knowledge, like a segmentation of the lungs, may be incorporated as well. The accuracy of our method was evaluated on 40 test cases from clinical routine. In the EMPIRE10 lung registration challenge, our scheme ranks third, with respect to various validation criteria, out of 28 algorithms with an average landmark distance of 0.72 mm. The average runtime is about 1:50 min on a standard PC, making it by far the fastest approach of the top-ranking algorithms. Additionally, the ten publicly available DIR-Lab inhale-exhale scan pairs were registered to subvoxel accuracy at computation times of only 20 seconds. Our method thus combines very attractive runtimes with state-of-the-art accuracy in a unique way.
Original languageEnglish
Title of host publicationMedical Imaging 2013: Image Processing
EditorsDavid R. Haynor, Sebastien Ourselin
Number of pages9
Volume8669
Place of PublicationLake Buena Vista, Florida, USA
PublisherSPIE
Publication date13.03.2013
Pages8669 - 8669 - 9
ISBN (Print)9780819494436
DOIs
Publication statusPublished - 13.03.2013
EventImage Processing, SPIE Medical Imaging 2013
- Lake Buena Vista (Orlando Area), United States
Duration: 09.02.201314.02.2013

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