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Estimating lung ventilation directly from 4D CT Hounsfield unit values

作   者:
Kipritidis, JohnHofman, Michael S.Siva, ShankarCallahan, JasonLe Roux, Pierre-YvesWoodruff, Henry C.Counter, William B.Keall, Paul J.
作者机构:
Radiat Phys Lab Vic 3002 Sydney Med Sch Australia NSW 2006Univ Sydney SydneyPeter MacCallum Canc Ctr Melbourne Div Radiat Oncol & Canc Imaging
关键词:
lung cancerCT ventilation imaging4DCTdeformable image registrationPET ventilation
期刊名称:
Medical Physics
i s s n:
0094-2405
年卷期:
2016 年 43 卷 1 期
页   码:
33-43
页   码:
摘   要:
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 Ga-68 positron emission tomography ("Galligas PET") scans in lung cancer patients.
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