학술논문
New pathways for end-to-end validation of CT ventilation imaging (CTVI) using deformable image registration
Document Type
Conference
Source
2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI) Biomedical Imaging (ISBI), 2016 IEEE 13th International Symposium on. :939-942 Apr, 2016
Subject
Language
ISSN
1945-8452
Abstract
Computed tomography ventilation imaging (CTVI) is a powerful functional lung imaging modality based on quantification of lung motion in four-dimensional CT (4DCT). However the implementation of CTVI workflows is challenging, requiring seamless integration of lung segmentation, de-formable image registration (DIR) and motion field analysis. To address the need for open source CTVI software, we have developed VESPIR (VEntilation via Scripted Pulmonary Image Registration), a command-line toolkit for prototyping CTVI workflows using the MATLAB programming interface. This paper describes the capabilities of VESPIR to achieve stepwise improvement in CTVI accuracy by comparing paired 4DCT and clinical ventilation imaging.