Journal article
Estimating lung ventilation directly from 4D CT Hounsfield unit values
J Kipritidis, MS Hofman, S Siva, J Callahan, PY Le Roux, HC Woodruff, WB Counter, PJ Keall
Medical Physics | Published : 2016
DOI: 10.1118/1.4937599
Abstract
Purpose: Computed tomography ventilation imaging (CTVI) aims to visualize air-volume changes in the lung by quantifying respiratory motion in 4DCT using deformable image registration (DIR). A problem is that DIR-based CTVI is sensitive both to 4DCT image artifacts and DIR parameters, hindering clinical validation of the technique. To address this, the authors present a streamlined CTVI approach that estimates blood'gas exchange in terms of time-averaged 4DCT Hounsfield unit (HU) values without relying on DIR. The purpose of this study is to quantify the accuracy of the HU-based CTVI method using high-resolution 68Ga positron emission tomography (Galligas PET) scans in lung cancer patients. M..
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Grants
Awarded by Cancer Australia Priority-driven Collaborative Cancer Research Scheme
Funding Acknowledgements
The authors thank Professor Carsten Brink (University of Southern Denmark), Dr. Nicholas Hardcastle (Royal North Shore Hospital), Dr. Enid Eslick, and Dr. Fiona Hegi-Johnson (University of Sydney) for their valuable discussions regarding deformable image registration and the development of CT ventilation imaging. This work was supported by a Cancer Institute NSW Early Career Fellowship, Cancer Australia Priority-driven Collaborative Cancer Research Scheme Grant No. 2013 APP1060919, and a NHMRC Australia Fellowship.