Artificial intelligence for image registration in radiation oncology

J Teuwen, ZAR Gouw, JJ Sonke - Seminars in Radiation Oncology, 2022 - Elsevier
Automatic image registration plays an important role in many aspects of the radiation
oncology workflow ranging from treatment simulation, image guided and adaptive …

Optimization of mesh generation for geometric accuracy, robustness, and efficiency of biomechanical‐model‐based deformable image registration

Y He, BM Anderson, G Cazoulat, B Rigaud… - Medical …, 2023 - Wiley Online Library
Background Successful generation of biomechanical‐model‐based deformable image
registration (BM‐DIR) relies on user‐defined parameters that dictate surface mesh quality …

Ablative margin quantification using deformable versus rigid image registration in colorectal liver metastasis thermal ablation: a retrospective single-center study

YM Lin, I Paolucci, J Albuquerque Marques Silva… - European …, 2024 - Springer
Purpose To investigate the correlation of minimal ablative margin (MAM) quantification using
biomechanical deformable (DIR) versus intensity-based rigid image registration (RIR) with …

Leveraging deep learning-based segmentation and contours-driven deformable registration for dose accumulation in abdominal structures

MM McCulloch, G Cazoulat, S Svensson… - Frontiers in …, 2022 - frontiersin.org
Purpose Discrepancies between planned and delivered dose to GI structures during
radiation therapy (RT) of liver cancer may hamper the prediction of treatment outcomes. The …

Fully automated deep learning based auto-contouring of liver segments and spleen on contrast-enhanced CT images

AC Gupta, G Cazoulat, M Al Taie, S Yedururi… - Scientific reports, 2024 - nature.com
Manual delineation of liver segments on computed tomography (CT) images for
primary/secondary liver cancer (LC) patients is time-intensive and prone to inter/intra …

Quantification of Resection Margin following Sublobar Resection in Lung Cancer Patients through Pre-and Post-Operative CT Image Comparison: Utilizing a CT …

YH Lin, LW Chen, HJ Wang, MS Hsieh, CW Lu… - Cancers, 2024 - mdpi.com
Simple Summary This study introduces a CT-based 3D reconstruction algorithm for
measuring resection margins post sublobar resection in lung cancer patients. It aims to …

A comprehensive lung CT landmark pair dataset for evaluating deformable image registration algorithms

ER Criscuolo, Y Fu, Y Hao, Z Zhang, D Yang - Medical Physics, 2024 - Wiley Online Library
Purpose Deformable image registration (DIR) is a key enabling technology in many
diagnostic and therapeutic tasks, but often does not meet the required robustness and …

A comprehensive liver CT landmark pair dataset for evaluating deformable image registration algorithms

Z Zhang, ER Criscuolo, Y Hao, D Yang - arXiv preprint arXiv:2404.04427, 2024 - arxiv.org
Purpose: Evaluating deformable image registration (DIR) algorithms is vital for enhancing
algorithm performance and gaining clinical acceptance. However, there's a notable lack of …

Quantifying the Effect of 4-Dimensional Computed Tomography–Based Deformable Dose Accumulation on Representing Radiation Damage for Patients with Locally …

Y He, G Cazoulat, C Wu, S Svensson… - International Journal of …, 2024 - Elsevier
Purpose The aim of this study was to investigate the dosimetric and clinical effects of 4-
dimensional computed tomography (4DCT)–based longitudinal dose accumulation in …

Improving Dose-Response Correlations For Locally Advanced Nsclc Patients Treated With Imrt Or Pspt

Y He - 2023 - digitalcommons.library.tmc.edu
The standard of care for locally advanced non-small cell lung cancer (NSCLC) is concurrent
chemo-radiotherapy. Despite recent advancements in radiation delivery methods, the …