Time-varying lung ventilation analysis of 4DCT using image registration

Kai Ding; Kaifang Du; Kunlin Cao; Gary E Christensen; Joseph M Reinhardt

doi:10.1109/ICASSP.2011.5947672

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Conference proceeding

Time-varying lung ventilation analysis of 4DCT using image registration

Kai Ding, Kaifang Du, Kunlin Cao, Gary E Christensen and Joseph M Reinhardt

2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.5772-5775

05/2011

DOI: 10.1109/ICASSP.2011.5947672

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Abstract

Imaging techniques for measuring lung ventilation are essential tools to study lung tissue response to radiation therapy. Most of the existing CT and image registration based ventilation measurement methods use two extreme phases (end expiration and end inspiration) while ignoring the important ventilation variation within the respiratory cycle. In this paper, we present a new instantaneous ventilation measurement scheme using multiple 4DCT phase images and regularized 3D image registration, which aims at measuring the regional ventilation within the respiratory cycle. The ventilation is measured using the Jacobian (a function of local partial derivatives) of the registration displacement field. For all four animals, 39% of the total lung volume reaches maximum ventilation at T 2 (50% inspiration phase) during inspiration and the 75% of the total lung volume reaches maximum ventilation at T 5 (75% expiration phase) during expiration. The registration accuracy assessed by 200 semi automatically matched landmarks in all phases and animals show landmark error on the order of 1 mm after registration.

Computed Tomography

Image registration

Phase measurement

Animals

Lungs

radiation therapy

Ventilation

pulmonary

Details

Title: Subtitle: Time-varying lung ventilation analysis of 4DCT using image registration
Creators: Kai Ding - Dept. of Radiat. Oncology, Univ. of Virginia, Charlottesville, VA, USA
Kaifang Du - Dept. of Biomed. Eng., Univ. of Iowa, Iowa City, IA, USA
Kunlin Cao - University of Iowa
Gary E Christensen - Dept. of Electr. & Comput. Eng., Univ. of Iowa, Iowa City, IA, USA
Joseph M Reinhardt - Dept. of Biomed. Eng., Univ. of Iowa, Iowa City, IA, USA
Resource Type: Conference proceeding
Publication Details: 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.5772-5775
Publisher: IEEE
DOI: 10.1109/ICASSP.2011.5947672
ISSN: 1520-6149
eISSN: 2379-190X
Language: English
Date published: 05/2011
Academic Unit: Radiation Research Laboratory; Electrical and Computer Engineering; Roy J. Carver Department of Biomedical Engineering; Radiology; Radiation Oncology
Record Identifier: 9984047858502771

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