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Open-access X-ray and CT simulation toolkit for research in cancer imaging and dosimetry

用于癌症成像和剂量测定研究的开放式 X 射线和 CT 模拟工具包

基本信息

批准号：
9913492
负责人：
Bruno De Man
金额：
$ 49.09万
依托单位：
GENERAL ELECTRIC GLOBAL RESEARCH CTR
依托单位国家：
美国
项目类别：
财政年份：
2019
资助国家：
美国
起止时间：
2019-04-11 至 2022-03-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/9913492
关键词：
3-Dimensional Age Algorithmic Software Algorithms Biological Models Cancer Detection Clinical Collaborations Communities Computed Tomography Scanners Computer software Conceptions Contrast Media Data Development Diagnosis Diagnostic radiologic examination Digital Breast Tomosynthesis Digital Mammography Dimensions Documentation Dose Emerging Technologies Environment Future Gender Geometry Height Image Imaging Device Imaging Techniques Imaging technology Informatics Linux Malignant Neoplasms Massachusetts Measurement Medical Imaging Methods Modeling Monitor Morphology Noise Operating System Organ Outcome Patients Performance Photons Physics Physiology Play Pythons Radiation Dose Unit Recording of previous events Research Resolution Roentgen Rays Role Scanning Seminal Shapes Signal Transduction Somatotype Spiral Computed Tomography Staging System Technology Testing Time TimeLine Tumor Angiogenesis Universities Weight Work X-Ray Computed Tomography attenuation base cancer imaging cancer type clinical imaging clinical translation digital digital imaging dosimetry experience flexibility image reconstruction imaging modality imaging system improved man new technology novel open source reconstruction response simulation simulation environment software development tool treatment planning tumor two-dimensional web site wiki

项目摘要

PROJECT SUMMARY/ABSTRACT Medical imaging plays a crucial role in cancer detection, diagnosis, staging, treatment planning and therapy re- sponse monitoring. We propose to develop and disseminate a realistic X-ray-based Cancer Imaging Simulation Toolkit (XCIST). This toolkit could dramatically accelerate research related to cancer imaging and radiation dose reduction. This proposal builds on prior software development by three experienced teams with a long his- tory of collaboration. Drawing on each team's specific capabilities, we will create an integrated software toolkit hosted in an open-source environment. The toolkit will include GE Global Research's X-ray and CT imaging models and dose estimation models, Duke University's realistic digital representations of patients and tumors, and the University of Massachusetts Lowell's state-of-the-art image reconstruction implementations.

项目总结/摘要医学影像学在癌症检测、诊断、分期、治疗计划和治疗再设计中起着至关重要的作用。自动监测我们建议开发和传播一个逼真的基于X射线的癌症成像模拟工具包（XCIST）。该工具包可以大大加速与癌症成像和辐射相关的研究减少剂量。该提案建立在由三个经验丰富的团队进行的软件开发基础上，合作的历史。根据每个团队的具体能力，我们将创建一个集成的软件工具包托管在一个开源环境中。该工具包将包括通用电气全球研究的X射线和CT成像模型和剂量估计模型，杜克大学的病人和肿瘤的现实数字表示，和马萨诸塞州洛厄尔大学最先进的图像重建实现。