Generating synthetic computed tomography for radiotherapy: SynthRAD2023 challenge report,Medical Image Analysis

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Generating synthetic computed tomography for radiotherapy: SynthRAD2023 challenge report
Medical Image Analysis ( IF 10.7 ) Pub Date : 2024-07-17 , DOI: 10.1016/j.media.2024.103276
Evi M C Huijben ₁ , Maarten L Terpstra ₂ , Arthur Jr Galapon ₃ , Suraj Pai ₄ , Adrian Thummerer ₅ , Peter Koopmans ₆ , Manya Afonso ₇ , Maureen van Eijnatten ₁ , Oliver Gurney-Champion ₈ , Zeli Chen ₉ , Yiwen Zhang ₉ , Kaiyi Zheng ₉ , Chuanpu Li ₉ , Haowen Pang ₁₀ , Chuyang Ye ₁₀ , Runqi Wang ₁₁ , Tao Song ₁₂ , Fuxin Fan ₁₃ , Jingna Qiu ₁₃ , Yixing Huang ₁₃ , Juhyung Ha ₁₄ , Jong Sung Park ₁₄ , Alexandra Alain-Beaudoin ₁₅ , Silvain Bériault ₁₅ , Pengxin Yu ₁₆ , Hongbin Guo ₁₇ , Zhanyao Huang ₁₇ , Gengwan Li ₁₈ , Xueru Zhang ₁₈ , Yubo Fan ₁₉ , Han Liu ₁₉ , Bowen Xin ₂₀ , Aaron Nicolson ₂₀ , Lujia Zhong ₂₁ , Zhiwei Deng ₂₁ , Gustav Müller-Franzes ₂₂ , Firas Khader ₂₂ , Xia Li ₂₃ , Ye Zhang ₂₃ , Cédric Hémon ₂₄ , Valentin Boussot ₂₄ , Zhihao Zhang ₂₅ , Long Wang ₂₅ , Lu Bai ₂₆ , Shaobin Wang ₂₆ , Derk Mus ₂₇ , Bram Kooiman ₂₇ , Chelsea A H Sargeant ₂₈ , Edward G A Henderson ₂₈ , Satoshi Kondo ₂₉ , Satoshi Kasai ₃₀ , Reza Karimzadeh ₃₁ , Bulat Ibragimov ₃₁ , Thomas Helfer ₃₂ , Jessica Dafflon ₃₃ , Zijie Chen ₃₄ , Enpei Wang ₃₄ , Zoltan Perko ₃₅ , Matteo Maspero ₂

Affiliation

Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands.
Radiotherapy Department, University Medical Center Utrecht, Utrecht, The Netherlands; Computational Imaging Group for MR Diagnostics & Therapy, University Medical Center Utrecht, Utrecht, The Netherlands.
Department of Radiation Oncology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
Department of Radiation Oncology (Maastro), GROW School for Oncology, Maastricht University Medical Centre, Maastricht, The Netherlands.
Department of Radiation Oncology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands; Department of Radiation Oncology, LMU University Hospital, LMU Munich, Munich, Germany.
Department of Radiation Oncology, Radboud University Medical Center, Nijmegen, The Netherlands.
Wageningen University & Research, Wageningen Plant Research, Wageningen, The Netherlands.
Department of Radiology and Nuclear Medicine, Amsterdam UMC, location University of Amsterdam, Amsterdam, The Netherlands; Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands.
School of Biomedical Engineering, Southern Medical University, Guangzhou, China.
School of Integrated Circuits and Electronics, Beijing Institute of Technology, Beijing, China.
School of Biomedical Engineering, ShanghaiTech University, Shanghai, China.
Fudan University, Shanghai, China.
Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.
Indiana University, Bloomington, USA.
Advanced Development Engineering, Elekta Ltd, Montreal, Canada.
Infervision Medical Technology Co., Ltd. Beijing, China.
Department of Biomedical Engineering, Shantou University, China.
Independent researchers.
Department of Computer Science, Vanderbilt University, Nashville, USA.
Australian e-Health Research Centre, CSIRO, Herston, Queensland, Australia.
Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California (USC), Los Angeles, CA, USA.
University Hospital Aachen, Aachen, Germany.
Center for Proton Therapy, Paul Scherrer Institut, Villigen, Switzerland; Department of Computer Science, ETH Zurich, Zurich, Switzerland.
University Rennes 1, CLCC Eugène Marquis, INSERM, LTSI, Rennes, France.
Subtle Medical, Shanghai, China.
MedMind Technology Co. Ltd., Beijing, China.
MRI Guidance BV, Utrecht, The Netherlands.
Division of Cancer Sciences, The University of Manchester, United Kingdom.
Muroran Institute of Technology, Hokkaido, Japan.
Niigata University of Health and Welfare, Niigata, Japan.
Image Analysis, Computational Modelling and Geometry, University of Copenhagen, Denmark.
IACS, Stony Brook University, NY, USA.
Data Science and Sharing Team, Functional Magnetic Resonance Imaging Facility, National Institute of Mental Health, Bethesda, USA; Machine Learning Team, Functional Magnetic Resonance Imaging Facility National Institute of Mental Health, Bethesda, USA.
Shenying Medical Technology (Shenzhen) Co., Ltd., Shenzhen, Guangdong, China.
Delft University of Technology, Faculty of Applied Sciences, Department of Radiation Science and Technology, Delft, The Netherlands.

Radiation therapy plays a crucial role in cancer treatment, necessitating precise delivery of radiation to tumors while sparing healthy tissues over multiple days. Computed tomography (CT) is integral for treatment planning, offering electron density data crucial for accurate dose calculations. However, accurately representing patient anatomy is challenging, especially in adaptive radiotherapy, where CT is not acquired daily. Magnetic resonance imaging (MRI) provides superior soft-tissue contrast. Still, it lacks electron density information, while cone beam CT (CBCT) lacks direct electron density calibration and is mainly used for patient positioning.

中文翻译：

生成用于放射治疗的合成计算机断层扫描：SynthRAD2023 挑战报告

放射治疗在癌症治疗中发挥着至关重要的作用，需要在多天内向肿瘤精确输送放射线，同时保护健康组织。计算机断层扫描 (CT) 是治疗计划不可或缺的一部分，它提供对于精确剂量计算至关重要的电子密度数据。然而，准确呈现患者解剖结构具有挑战性，尤其是在适应性放射治疗中，CT 并非每天采集。磁共振成像 (MRI) 提供卓越的软组织对比度。尽管如此，它仍然缺乏电子密度信息，而锥形束CT（CBCT）缺乏直接的电子密度校准，主要用于患者定位。

更新日期：2024-07-17

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