Cargando…

Improving synthetic CT accuracy by combining the benefits of multiple normalized preprocesses

PURPOSE: To investigate the effect of different normalization preprocesses in deep learning on the accuracy of different tissues in synthetic computed tomography (sCT) and to combine their advantages to improve the accuracy of all tissues. METHODS: The cycle‐consistent adversarial network (CycleGAN)...

Descripción completa

Detalles Bibliográficos
Autores principales:	Cao, Zheng, Gao, Xiang, Chang, Yankui, Liu, Gongfa, Pei, Yuanji
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	John Wiley and Sons Inc. 2023
Materias:	Radiation Oncology Physics
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10402686/ https://www.ncbi.nlm.nih.gov/pubmed/37092739 http://dx.doi.org/10.1002/acm2.14004

Ejemplares similares

A novel approach for eliminating metal artifacts based on MVCBCT and CycleGAN
por: Cao, Zheng, et al.
Publicado: (2022)

Effect of metal implants and metal artifacts on back‐projected two‐dimensional entrance fluence determined by EPID dosimetry
por: Cao, Zheng, et al.
Publicado: (2023)

Assessment of CBCT–based synthetic CT generation accuracy for adaptive radiotherapy planning
por: O'Hara, Christopher J., et al.
Publicado: (2022)

A Comparison Study Between CNN-Based Deformed Planning CT and CycleGAN-Based Synthetic CT Methods for Improving iCBCT Image Quality
por: Yang, Bo, et al.
Publicado: (2022)

Abdominopelvic MR to CT registration using a synthetic CT intermediate
por: Heo, Jin Uk, et al.
Publicado: (2022)

Cone beam CT for QA of synthetic CT in MRI only for prostate patients
por: Palmér, Emilia, et al.
Publicado: (2018)

Dosimetric evaluation of synthetic CT image generated using a neural network for MR‐only brain radiotherapy
por: Tang, Bin, et al.
Publicado: (2021)

Accuracy of 3D volumetric image registration based on CT, MR and PET/CT phantom experiments
por: Li, Guang, et al.
Publicado: (2008)

Rapid unpaired CBCT‐based synthetic CT for CBCT‐guided adaptive radiotherapy
por: Wynne, Jacob F., et al.
Publicado: (2023)

Accuracy of low‐dose proton CT image registration for pretreatment alignment verification in reference to planning proton CT
por: Cassetta, Roberto, et al.
Publicado: (2019)

Spectral CT quantification stability and accuracy for pediatric patients: A phantom study
por: Shapira, Nadav, et al.
Publicado: (2021)

A method of using deep learning to predict three‐dimensional dose distributions for intensity‐modulated radiotherapy of rectal cancer
por: Zhou, Jieping, et al.
Publicado: (2020)

Clinical application and improvement of a CNN‐based autosegmentation model for clinical target volumes in cervical cancer radiotherapy
por: Chang, Yankui, et al.
Publicado: (2021)

MR image‐based synthetic CT for IMRT prostate treatment planning and CBCT image‐guided localization
por: Chen, Shupeng, et al.
Publicado: (2016)

Dosimetric evaluation of an atlas‐based synthetic CT generation approach for MR‐only radiotherapy of pelvis anatomy
por: Farjam, Reza, et al.
Publicado: (2018)

Head and neck cancer patient positioning using synthetic CT data in MRI‐only radiation therapy
por: Palmér, Emilia, et al.
Publicado: (2022)

Impact of CT scan parameters on deformable image registration accuracy using deformable thorax phantom
por: Ikeda, Ryutaro, et al.
Publicado: (2023)

Dosimetric evaluation of synthetic CT generated with GANs for MRI‐only proton therapy treatment planning of brain tumors
por: Kazemifar, Samaneh, et al.
Publicado: (2020)

A multi‐institutional analysis of a general pelvis continuous Hounsfield unit synthetic CT software for radiotherapy
por: Yu, Victoria Y., et al.
Publicado: (2021)

Evaluation of deep learning‐based auto‐segmentation algorithms for delineating clinical target volume and organs at risk involving data for 125 cervical cancer patients
por: Wang, Zhi, et al.
Publicado: (2020)

Cone Beam CT vs. Fan Beam CT: A Comparison of Image Quality and Dose Delivered Between Two Differing CT Imaging Modalities
por: Lechuga, Lawrence, et al.
Publicado: (2016)

Dosimetric accuracy of the cone‐beam CT‐based treatment planning of the Vero system: a phantom study
por: Yohannes, Indra, et al.
Publicado: (2016)

The CT number accuracy of a novel commercial metal artifact reduction algorithm for large orthopedic implants
por: Hilgers, Guido, et al.
Publicado: (2014)

Dosimetric evaluation of cone‐beam CT‐based synthetic CTs in pediatric patients undergoing intensity‐modulated proton therapy
por: Sheikh, Khadija, et al.
Publicado: (2022)

Accuracy of proton stopping power estimation of silicone breast implants with single and dual‐energy CT calibration techniques
por: Chacko, Michael S., et al.
Publicado: (2021)

Influence of electron density spatial distribution and X‐ray beam quality during CT simulation on dose calculation accuracy
por: Nobah, Ahmad, et al.
Publicado: (2011)

Dosimetry Comparison of Palliative Radiation Plans Generated From Available Diagnostic CT Images Versus Dedicated CT Simulation for Inpatients
por: Ho, Quoc-Anh, et al.
Publicado: (2021)

An Approach to Improve Accuracy of Optical Tracking Systems in Cranial Radiation Therapy
por: Stüber, Patrick, et al.
Publicado: (2015)

Deep learning‐based synthetic CT generation for MR‐only radiotherapy of prostate cancer patients with 0.35T MRI linear accelerator
por: Farjam, Reza, et al.
Publicado: (2021)

Durable Control and Overall Survival Benefit with Focal Reirradiation in Cervical Cancer
por: Amini, Arya, et al.
Publicado: (2015)

Target localization accuracy in frame‐based stereotactic radiosurgery: Comparison between MR‐only and MR/CT co‐registration approaches
por: Pappas, Eleftherios P., et al.
Publicado: (2022)

Accuracy evaluation of surface registration algorithm using normal distribution transform in stereotactic body radiotherapy/radiosurgery: A phantom study
por: Lee, Haenghwa, et al.
Publicado: (2022)

CyberKnife Radiosurgery in Recurrent Brain Metastases: Do the Benefits Outweigh the Risks?
por: Alexander, Romagna, et al.
Publicado: (2018)

Estimation of lung tumor position from multiple anatomical features on 4D‐CT using multiple regression analysis
por: Ono, Tomohiro, et al.
Publicado: (2017)

Changing Role of PET/CT in Cancer Care With a Focus on Radiotherapy
por: Vijayakumar, Srinivasan, et al.
Publicado: (2022)

Assessment of image quality and dose calculation accuracy on kV CBCT, MV CBCT, and MV CT images for urgent palliative radiotherapy treatments
por: Held, Mareike, et al.
Publicado: (2016)

Trajectory log analysis and cone‐beam CT‐based daily dose calculation to investigate the dosimetric accuracy of intensity‐modulated radiotherapy for gynecologic cancer
por: Utena, Yohei, et al.
Publicado: (2021)

Targeting the Tumor: Assessing the Impact of Bladder Volume and Position on Accuracy of Radiation Delivery for Patients with Bladder Cancer
por: Kochan, Andrew, et al.
Publicado: (2017)

Impact of Data Preprocessing on Integrative Matrix Factorization of Single Cell Data
por: Hsu, Lauren L., et al.
Publicado: (2020)

Efficacy evaluation of retrospectively applying the Varian normal breathing predictive filter for volume definition and artifact reduction in 4D CT lung patients
por: Malone, Ciaran, et al.
Publicado: (2014)

Cannot write session to /tmp/vufind_sessions/sess_mbjoji39t9ok2hcj5utapa2dme