title: Improved quantitative dynamic regional oxygen-enhanced pulmonary imaging using image registration.
abstract: Oxygen-enhanced MR imaging has been demonstrated in a number of recent studies as a potential method to visualize regional ventilation in the lung. A quantitative pixel-by-pixel analysis is hampered by motion and volume change due to breathing. In this study, image registration via active shape modeling is shown to produce significant improvements in the regional analysis of both static and dynamic oxygen-enhanced pulmonary MRI for five normal volunteers. The method enables the calculation of regional change in relaxation rate between breathing air and 100% oxygen, which is proportional to the change in regional oxygen concentration, and regional oxygen wash-in and wash-out time constants. Registration-corrected mapping of these parameters is likely to provide improved information in the regional assessment of a range of lung diseases.
authors: Imaging Science and Biomedical Engineering, University of Manchester, Manchester, United Kingdom. Josephine.naish@manchester.ac.uk
authors: Josephine H
authors: JH
authors: Naish
authors: Geoffrey J M
authors: GJ
authors: Parker
authors: Paul C
authors: PC
authors: Beatty
authors: Alan
authors: A
authors: Jackson
authors: Simon S
authors: SS
authors: Young
authors: John C
authors: JC
authors: Waterton
authors: Chris J
authors: CJ
authors: Taylor
mesh_terms: D000280:Administration, Inhalation; D000328:Adult; D016009:Chi-Square Distribution; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008168:Lung / Q000033:anatomy & histology*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008297:Male; D010100:Oxygen / Q000008:administration & dosage*; D011659:Pulmonary Gas Exchange / Q000502:physiology; D012680:Sensitivity and Specificity
chemical_list: D010100:Oxygen