Software tool for routine, rapid, patient-specific CT organ dose estimation

用于常规、快速、患者特定 CT 器官剂量估算的软件工具

• 批准号: 9922675
• 负责人: Taly Gilat Schmidt
• 金额: $ 43.28万
• 依托单位: MARQUETTE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-07-01 至 2023-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9922675
• 关键词: Abdomen; Accounting; Acute; Address; Adoption; Algorithms; Anatomy; Atlases; Case Study; Chest; Childhood; Clinical; Collaborations; Computed Tomography Scanners; Computerized Medical Record; Data; Data Set; Databases; Dose; Engineering; Equation; Future; Goals; Gold; Image; Incidence; Individual; Industrialization; Informatics; Injury; International; Ionizing radiation; Malignant Neoplasms; Manuals; Maps; Medical; Medicine; Methods; Modeling; Monitor; National Institute of Biomedical Imaging and Bioengineering; Organ; Overdose; Patients; Pelvis; Physics; Population; Procedures; Protocols documentation; Public Health; Radiation; Radiation Dose Unit; Radiation Oncology; Radiation therapy; Radiology Specialty; Regulation; Reporting; Research; Resources; Running; Scanning; Software Tools; System; Time; Tube; Variant; Work; X-Ray Computed Tomography; automated segmentation; base; cancer risk; clinical practice; commercialization; epidemiology study; experimental study; indexing; innovation; novel; pediatric patients; phantom model; prevent; prototype; public health relevance; segmentation algorithm; simulation; software development; symposium; tool

PROJECT SUMMARY The approximately 76 million Computed Tomography (CT) scans performed in the U.S. each year are responsible for half the ionizing radiation delivered by medical procedures. Concern about stochastic cancer risks and recent overdosing incidents has led to increased radiation dose monitoring and mandated dose reporting in several states. The problem addressed by this proposal is that current dose reporting metrics quantify the dose delivered to a plastic cylinder or dose to a phantom model, not the dose to the organs of a specific patient. Numerous national and international reports have identified individual organ dose as the most relevant metric that should be reported. Existing automated tools do not model the patient's anatomy and have >40% organ dose error for some reported cases. This project will develop an automated software tool to provide the new capability of accurate, rapid, and personalized reporting of the radiation dose delivered to a patient's organs as part of every CT scan. This project will leverage expertise from the radiology and radiation oncology fields to develop innovative algorithms that will provide the new capability of personalized CT organ dose estimates that account for scanner and anatomical complexities. To achieve the project aims, a rapid Boltzmann Transport Equation solver will be optimized for CT imaging, expanded to model scanner complexities, and validated against gold-standard simulations and phantom experiments. Automated atlas-based segmentation algorithms will be developed, validated, and combined with novel methods to robustly estimate organ dose. The complete dose estimation tool will be validated in a study of 500 pediatric CT datasets, which will provide valuable information about the magnitude and variation of pediatric CT dose in clinical practice. The resulting organ-dose database will be made publically available as a resource for clinical and technical research. The expected impact of the proposed software tool is: (1) Patient-specific organ doses and dose maps incorporated into electronic medical records for personalized dose reports. (2) Personalized dose minimization when combined with dynamic filters and adaptive tube current modulation. (3) Databases for protocol optimization and epidemiological studies of organ dose and cancer incidence based on accurate dose estimates that quantify the variation in organ dose across the population.

项目摘要 每年在美国进行的大约7600万个计算机断层扫描（CT）扫描是 负责医疗程序提供的一半电离辐射。对随机癌的关注 风险和最近服药的事件导致辐射剂量监测和强制性剂量增加 在几个州举报。该提案解决的问题是当前剂量报告指标量化 剂量输送到塑料缸或剂量到幻影模型，而不是特定器官的剂量 病人。许多国家和国际报告已经确定单个器官剂量是最相关的 应报告的度量。现有的自动化工具不会对患者的解剖结构进行建模，并且具有> 40％ 某些报道情况下的器官剂量错误。该项目将开发一个自动化软件工具，以提供 辐射剂量的准确，快速和个性化报告的新功能已递送给患者器官 作为每次CT扫描的一部分。 该项目将利用放射学和辐射肿瘤学领域的专业知识来发展创新 将提供个性化CT器官剂量估算的新功能的算法，以说明扫描仪 和解剖复杂性。为了实现该项目的目的，快速的玻尔兹曼传输方程求解器将是 针对CT成像进行了优化，扩展到模型扫描仪的复杂性，并针对黄金标准进行了验证 模拟和幻影实验。将开发基于ATLAS的自动分割算法， 经过验证，并结合新的方法来估计器官剂量。完整的剂量估计工具 将在对500个儿科CT数据集的研究中进行验证，该数据将提供有关该数据集的宝贵信息 小儿CT剂量在临床实践中的大小和变化。将制作最终的器官剂量数据库 公开作为临床和技术研究的资源。 提出的软件工具的预期影响是：（1）患者特定器官剂量和剂量图 并入了个性化剂量报告中的电子病历中。 （2）个性化剂量最小化 当与动态过滤器和自适应管电流调制结合使用时。 （3）协议数据库 基于准确剂量估计值的器官剂量和癌症发病率的优化和流行病学研究 这可以量化整个人群中器官剂量的变化。

项目成果

Deterministic linear Boltzmann transport equation solver for patient-specific CT dose estimation: Comparison against a Monte Carlo benchmark for realistic scanner configurations and patient models.

• DOI: 10.1002/mp.14494
• 发表时间: 2020-12
• 期刊: Medical physics
• 影响因子: 3.8
• 作者: Principi S;Wang A;Maslowski A;Wareing T;Jordan P;Schmidt TG
• 通讯作者: Schmidt TG

Pediatric chest-abdomen-pelvis and abdomen-pelvis CT images with expert organ contours.

• DOI: 10.1002/mp.15485
• 发表时间: 2022-05
• 期刊: Medical physics
• 影响因子: 3.8

Reduced Chest Computed Tomography Scan Length for Patients Positive for Coronavirus Disease 2019: Dose Reduction and Impact on Diagnostic Utility.

• DOI: 10.1097/rct.0000000000001312
• 发表时间: 2022-07-01
• 期刊: Journal of computer assisted tomography
• 影响因子: 1.3

AGE-CONDITIONED SYNTHESIS OF PEDIATRIC COMPUTED TOMOGRAPHY WITH AUXILIARY CLASSIFIER GENERATIVE ADVERSARIAL NETWORKS.

• DOI: 10.1109/isbi45749.2020.9098623
• 发表时间: 2020-04
• 期刊: Proceedings. IEEE International Symposium on Biomedical Imaging
• 作者: Kan CNE;Maheenaboobacker N;Ye DH
• 通讯作者: Ye DH

Technical note: Evaluation of a V-Net autosegmentation algorithm for pediatric CT scans: Performance, generalizability, and application to patient-specific CT dosimetry.

• DOI: 10.1002/mp.15521
• 发表时间: 2022-04
• 期刊: MEDICAL PHYSICS
• 影响因子: 3.8
• 作者: Adamson, Philip M.;Bhattbhatt, Vrunda;Principi, Sara;Beriwal, Surabhi;Strain, Linda S.;Offe, Michael;Wang, Adam S.;Vo, Nghia-Jack;Schmidt, Taly Gilat;Jordan, Petr
• 通讯作者: Jordan, Petr