Evaluation of the accuracy of deformable image registration on MRI with a physical phantom-Reference-Cited by-同舟云学术

Evaluation of the accuracy of deformable image registration on MRI with a physical phantom

Published:2019-12-06 Issue:1 Volume:21 Page:166-173
ISSN:1526-9914
Container-title:Journal of Applied Clinical Medical Physics
language:en
Short-container-title:J Appl Clin Med Phys

Author:

Wu Richard Y.¹,Liu Amy Y.¹,Yang Jinzhong¹,Williamson Tyler D.¹,Wisdom Paul G.¹,Bronk Lawrence¹,Gao Song¹,Grosshan David R.²,Fuller David C.²,Gunn Gary B.²,Ronald Zhu X.¹,Frank Steven J.²

Affiliation:

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

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

Publisher

Wiley

Subject

Radiology Nuclear Medicine and imaging,Instrumentation,Radiation

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/acm2.12789

Reference24 articles.

1. Cone beam CT for QA of synthetic CT in MRI only for prostate patients

2. New response evaluation criteria in solid tumours: Revised RECIST guideline (version 1.1)

3. Intensity-Modulated Proton Therapy Adaptive Planning for Patients with Oropharyngeal Cancer

4. Quantification of volumetric and geometric changes occurring during fractionated radiotherapy for head-and-neck cancer using an integrated CT/linear accelerator system

5. Use of image registration and fusion algorithms and techniques in radiotherapy: Report of the AAPM Radiation Therapy Committee Task Group No. 132

Cited by 13 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. Development of deep learning-based novel auto-segmentation for the prostatic urethra on planning CT images for prostate cancer radiotherapy;Radiological Physics and Technology;2024-08-14

2. Detecting and quantifying spatial misalignment between longitudinal kilovoltage computed tomography (kVCT) scans of the head and neck by using convolutional neural networks (CNNs);Technology and Health Care;2023-06-30

3. Multiscale feature fusion network for 3D head MRI image registration;Medical Physics;2023-03-31

4. [Radiation Therapy] 4. Development of Physical Phantom for Deformable Image Registration in Radiotherapy;Japanese Journal of Radiological Technology;2023-02-20

5. Prediction of adaptive strategies based on deformation vector field features for MR‐guided adaptive radiotherapy of prostate cancer;Medical Physics;2023-01-12