Optimization of mesh generation for geometric accuracy, robustness, and efficiency of biomechanical‐model‐based deformable image registration-Reference-Cited by-同舟云学术

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

Published:2022-08-24 Issue:1 Volume:50 Page:323-329
ISSN:0094-2405
Container-title:Medical Physics
language:en
Short-container-title:Medical Physics

Author:

He Yulun¹,Anderson Brian M.¹,Cazoulat Guillaume¹,Rigaud Bastien¹,Almodovar‐Abreu Lusmeralis¹,Pollard‐Larkin Julianne²,Balter Peter²,Liao Zhongxing³,Mohan Radhe²,Odisio Bruno⁴,Svensson Stina⁵,Brock Kristy K.¹²

Affiliation:

1. Department of Imaging Physics The University of Texas MD Anderson Cancer Center Houston Texas USA

2. Department of Radiation Physics The University of Texas MD Anderson Cancer Center Houston Texas USA

3. Department of Radiation Oncology The University of Texas MD Anderson Cancer Center Houston Texas USA

4. Department of Interventional Radiology The University of Texas MD Anderson Cancer Center Houston Texas USA

5. RaySearch Laboratories Stockholm Sweden

Funder

National Institutes of Health

Publisher

Wiley

Subject

General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mp.15939

Reference21 articles.

1. A hybrid patient-specific biomechanical model based image registration method for the motion estimation of lungs

2. Accuracy of deformable image registration techniques for alignment of longitudinal cholangiocarcinoma CT images

3. Deformable image registration for radiation therapy: principle, methods, applications and evaluation

4. Vasculature-Driven Biomechanical Deformable Image Registration of Longitudinal Liver Cholangiocarcinoma Computed Tomographic Scans

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A scientometric review of medical flexible needle systems in surgery: signal processing, navigation and control;Signal, Image and Video Processing;2024-05-25

2. Fully automated deep learning based auto-contouring of liver segments and spleen on contrast-enhanced CT images;Scientific Reports;2024-02-26

3. Quantifying the Effect of 4-Dimensional Computed Tomography–Based Deformable Dose Accumulation on Representing Radiation Damage for Patients with Locally Advanced Non-Small Cell Lung Cancer Treated with Standard-Fractionated Intensity-Modulated Radiation Therapy;International Journal of Radiation Oncology*Biology*Physics;2024-01

4. Deep learning-based lung image registration: A review;Computers in Biology and Medicine;2023-10

5. Leveraging deep learning-based segmentation and contours-driven deformable registration for dose accumulation in abdominal structures;Frontiers in Oncology;2022-11-02