Estimation of Lung Ventilation

Kai Ding; Kunlin Cao; Kaifang Du; Ryan Amelon; Gary E Christensen; Madhavan Raghavan; Joseph M Reinhardt

doi:10.1007/978-3-642-36441-9_13

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Estimation of Lung Ventilation

Kai Ding, Kunlin Cao, Kaifang Du, Ryan Amelon, Gary E Christensen, Madhavan Raghavan and Joseph M Reinhardt

4D Modeling and Estimation of Respiratory Motion for Radiation Therapy, pp.297-317

Biological and Medical Physics, Biomedical Engineering, Springer Berlin Heidelberg

05/31/2013

DOI: 10.1007/978-3-642-36441-9_13

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Abstract

Since the primary function of the lung is gas exchange, ventilation can be interpreted as an index of lung function in addition to perfusion. Injury and disease processes can alter lung function on a global and/or a local level. MDCT can be used to acquire multiple static breath-hold CT images of the lung taken at different lung volumes, or with proper respiratory control, 4DCT images of the lung reconstructed at different respiratory phases. Image registration can be applied to this data to estimate a deformation field that transforms the lung from one volume configuration to the other. This deformation field can be analyzed to estimate local lung tissue expansion, calculate voxel-by-voxel intensity change, and make biomechanical measurements. The physiologic significance of the registration-based measures of respiratory function can be established by comparing to more conventional measurements, such as nuclear medicine or contrast wash-in/wash-out studies with CT or MR. An important emerging application of these methods is the detection of pulmonary function change in subjects undergoing radiation therapy (RT) for lung cancer. During RT, treatment is commonly limited to sub-therapeutic doses due to unintended toxicity to normal lung tissue. Measurement of pulmonary function may be useful as a planning tool during RT planning, may be useful for tracking the progression of toxicity to nearby normal tissue during RT, and can be used to evaluate the effectiveness of a treatment post-therapy. This chapter reviews the basic measures to estimate regional ventilation from image registration of CT images, the comparison of them to the existing golden standard and the application in radiation therapy.

Image registration

Lung function

Ventilation

Pulmonary

Tissue function

Details

Title: Subtitle: Estimation of Lung Ventilation
Creators: Kai Ding - The University of Iowa, Iowa, USA
Kunlin Cao - Biomedical Image Analysis Lab, GE Global Research Center, Niskayuna, USA
Kaifang Du - The University of Iowa, Iowa, USA
Ryan Amelon - The University of Iowa, Iowa, USA
Gary E Christensen - The University of Iowa, Iowa, USA
Madhavan Raghavan - The University of Iowa, Iowa, USA
Joseph M Reinhardt - The University of Iowa, Iowa, USA
Resource Type: Book chapter
Publication Details: 4D Modeling and Estimation of Respiratory Motion for Radiation Therapy, pp.297-317
Series: Biological and Medical Physics, Biomedical Engineering
DOI: 10.1007/978-3-642-36441-9_13
ISSN: 1618-7210
Publisher: Springer Berlin Heidelberg; Berlin, Heidelberg
Language: English
Date published: 05/31/2013
Academic Unit: Roy J. Carver Department of Biomedical Engineering; Radiology; Electrical and Computer Engineering; Radiation Oncology; Radiation Research Laboratory
Record Identifier: 9984064574602771

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