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Full-Text Articles in Medical Specialties
Automating 4dct-Ventilation Imaging Generation Using Ai-Based Advanced Lung Contours, Yingxuan Chen, Sohrab Pahlavan, Paul Jacobs, Farnoush Forghani, Edward Castillo, Richard Castillo, Yevgeniy Vinogradskiy
Automating 4dct-Ventilation Imaging Generation Using Ai-Based Advanced Lung Contours, Yingxuan Chen, Sohrab Pahlavan, Paul Jacobs, Farnoush Forghani, Edward Castillo, Richard Castillo, Yevgeniy Vinogradskiy
Conference Presentation Abstracts
Purpose: Functional avoidance radiotherapy uses functional imaging to reduce pulmonary toxicity by designing radiotherapy plans that reduce doses to functional lung. A novel form of lung functional imaging applied for functional avoidance uses 4DCT imaging to calculating 4DCT-based lung ventilation (4DCT-ventilation). The process of generating 4DCT-ventilation images requires advanced lung segmentation (consisting of a standard lung with airway and vasculature removed) which is a manual and time-consuming process. The purpose of this work is to automate 4DCT-ventilation imaging generation using AI-based auto-segmentation techniques for advanced lung contouring.
Methods: 429 patients with 4DCT data from two institutions were used. Three methods …
Integration Of Biomedical Imaging And Translational Approaches For Management Of Head And Neck Cancer, Abdallah Mohamed, Abdallah Mohamed
Integration Of Biomedical Imaging And Translational Approaches For Management Of Head And Neck Cancer, Abdallah Mohamed, Abdallah Mohamed
Dissertations & Theses (Open Access)
The aim of the clinical component of this work was to determine whether the currently available clinical imaging tools can be integrated with radiotherapy (RT) platforms for monitoring and adaptation of radiation dose, prediction of tumor response and disease outcomes, and characterization of patterns of failure and normal tissue toxicity in head and neck cancer (HNC) patients with potentially curable tumors. In Aim 1, we showed that the currently available clinical imaging modalities can be successfully used to adapt RT dose based-on dynamic tumor response, predict oncologic disease outcomes, characterize RT-induced toxicity, and identify the patterns of disease failure. We …