Title

Thoracic CT-MRI coregistration for regional pulmonary structure-function measurements of obstructive lung disease

Document Type

Article

Publication Date

4-11-2017

Journal

Medical Physics

Volume

44

Issue

5

First Page

1718

Last Page

1733

URL with Digital Object Identifier

https://doi.org/10.1002/mp.12160

Abstract

PURPOSE: Recent pulmonary imaging research has revealed that in patients with chronic obstructive pulmonary disease (COPD) and asthma, structural and functional abnormalities are spatially heterogeneous. This novel information may help optimize treatment in individual patients, monitor interventional efficacy, and develop new treatments. Moreover, by automating the measurement of regional biomarkers for the 19 different anatomical lung segments, there is an opportunity to embed imaging biomarkers into clinically acceptable clinical workflows and improve lung disease clinical care. Therefore, to exploit the regional structure-function information provided by thoracic imaging, and as a first step toward this goal, our objective was to develop a fully automated registration pipeline for thoracic x-ray computed tomography (CT) and inhaled gas functional magnetic resonance imaging (MRI) whole lung and segmental structure-function biomarkers.

METHODS: Thirty-five patients including 15 severe, poorly controlled asthmatics and 20 COPD patients [classified according to the global initiative for chronic obstructive lung disease (GOLD) criteria)] provided written informed consent to a study protocol approved by Health Canada and underwent pulmonary function tests, MRI, and CT during a single 2-hour visit. Using this diverse patient dataset, we developed and evaluated a joint deformable registration approach to simultaneously coregister CT with both

RESULTS: In 35 patients including 15 with severe asthma and 20 with COPD, mean forced expiratory volume in 1 s (FEV

CONCLUSIONS: For a diverse group of patients with COPD and asthma, whole lung and segmental VDP was measured using an automated lung image analysis pipeline which provides a way to incorporate lung functional biomarkers into clinical research and patient care.

Notes

This is the peer reviewed version of the following article: F Guo, S Svenningsen, M Kirby, DPI Capaldi, K Sheikh, A Fenster & G Parraga (2017). Thoracic CT-MRI coregistration for regional pulmonary structure-function measurements of obstructive lung disease. Medical Physics 44(5), 1718-1733, which has been published in final form at https://doi.org/10.1002/mp.12160. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions.

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