4DCT Ventilation Map Construction Using Biomechanics-base Image Registration and Enhanced Air Segmentation.
Document Type
Conference Proceeding
Publication Date
7-1-2019
Journal
Conference Proceedings IEEE Engineering in Medicine and Biology Society
Volume
2019
First Page
6263
Last Page
6266
URL with Digital Object Identifier
10.1109/EMBC.2019.8857931
Abstract
Current lung radiation therapy (RT) treatment planning algorithms used in most centers assume homogeneous lung function. However, co-existing pulmonary dysfunctions present in many non-small cell lung cancer (NSCLC) patients, particularly smokers, cause regional variations in both perfusion and ventilation, leading to inhomogeneous lung function. An adaptive RT treatment planning that deliberately avoids highly functional lung regions can potentially reduce pulmonary toxicity and morbidity. The ventilation component of lung function can be measured using a variety of techniques. Recently, 4DCT ventilation imaging has emerged as a cost-effective and accessible method. Current 4DCT ventilation calculation methods, including the intensity-based and Jacobian models, suffer from inaccurate estimations of air volume distribution and unreliability of intensity-based image registration algorithms. In this study, we propose a novel method that utilizes a biomechanical model-based registration along with an accurate air segmentation algorithm to calculate 4DCT ventilation maps. The results show a successful development of ventilation maps using the proposed method.
Citation of this paper:
P. Jafari, B. P. Yaremko, G. Parraga, D. A. Hoover, A. Sadeghi-Naini and A. Samani, "4DCT Ventilation Map Construction Using Biomechanics-base Image Registration and Enhanced Air Segmentation," 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Berlin, Germany, 2019, pp. 6263-6266.
Notes
© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.