Quantification of regional lung ventilation from tagged hyperpolarized helium-3 MRI

K Ding; K Cao; W Miller; G Christensen; J Reinhardt; S Benedict; B Libby; K Sheng

doi:10.1109/ISBI.2011.5872587

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Conference proceeding

Quantification of regional lung ventilation from tagged hyperpolarized helium-3 MRI

K Ding, K Cao, W Miller, G Christensen, J Reinhardt, S Benedict, B Libby and K Sheng

2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, pp.1074-1077

03/2011

DOI: 10.1109/ISBI.2011.5872587

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Abstract

In this paper we propose a new scheme for measuring regional ventilation from tagged hyperpolarized helium-3 MR images. A new registration cost function that incorporates both the intensity information (SSD) and the shape feature (SSBMD) from the images is proposed for registering end inspiration to the end expiration image. The smoothness of the displacement field is maintained by incorporating the Laplacian regularization constraint (LAP) in the total cost function. The ventilation is quantified using the Jacobian determinant of the resulting displacement field from the proposed registration algorithm. Tags are automatically segmented from the images to evaluate the registration accuracy. The average tag positioning error is on the order of 2 mm after registration for all three subjects. These results may provide new method for assessing regional lung ventilation and may be used to track regional function changes of lung cancer patients following radiation therapy.

Magnetic Resonance Imaging

Biomedical applications of radiation

image registration

Image segmentation

Jacobian matrices

Lungs

MR tagging

pulmonary

radiation therapy

Ventilation

Details

Title: Subtitle: Quantification of regional lung ventilation from tagged hyperpolarized helium-3 MRI
Creators: K Ding - University of Virginia
K Cao - University of Iowa
W Miller - University of Virginia
G Christensen - University of Iowa
J Reinhardt - University of Iowa
S Benedict - University of Virginia
B Libby - University of Virginia
K Sheng - University of Virginia
Resource Type: Conference proceeding
Publication Details: 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, pp.1074-1077
Publisher: IEEE
DOI: 10.1109/ISBI.2011.5872587
ISSN: 1945-7928
eISSN: 1945-8452
Language: English
Date published: 03/2011
Academic Unit: Holden Comprehensive Cancer Center; Radiation Research Laboratory; The Iowa Institute for Biomedical Imaging; Electrical and Computer Engineering; Roy J. Carver Department of Biomedical Engineering; Advanced Pulmonary Physiomic Imaging Laboratory; Radiology; Iowa Technology Institute; Radiation Oncology
Record Identifier: 9984196974802771

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