Multi-Task MR Simulation for Abdominal Radiation Treatment Planning
用于腹部放射治疗计划的多任务 MR 模拟
基本信息
- 批准号:10606517
- 负责人:
- 金额:$ 68.11万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2021
- 资助国家:美国
- 起止时间:2021-04-01 至 2025-03-31
- 项目状态:未结题
- 来源:
- 关键词:3-DimensionalAbdomenAdoptionAnatomyBreathingClinicalConsumptionDataData CollectionDedicationsDetectionDevelopmentDoseEffectivenessFatty acid glycerol estersFutureGeometryGoalsImageMagnetic ResonanceMagnetic Resonance ImagingManualsMethodsModalityMotionNormal tissue morphologyOrganOutcomePancreasPatientsPhasePositioning AttributePrecision therapeuticsProceduresProtocols documentationProtonsRadiation Dose UnitRadiation therapyResearchRiskScanningSiteSolidSpatial DistributionStudy SubjectTechniquesTestingThree-Dimensional ImageTimeTissuesVariantWaterX-Ray Computed Tomographyautomated segmentationcancer diagnosiscomputerized data processingcontrast imagingcostdeep learningdensityeffectiveness evaluationexperienceimage processingimage reconstructionimprovedinterestlearning strategymultimodalitymultitasknovelpancreatic cancer patientspredictive modelingpreventrespiratorysimulationsoft tissuestandard of caresuccesstooltreatment planningtumor
项目摘要
The accuracy of radiation treatment planning (RTP) heavily influences the effectiveness of external beam
radiotherapy (EBRT). Individualized RTP begins with a “simulation”, in which the patient in a treatment position
is commonly scanned using computed tomography (CT) to define the treatment target and organs at risk (OARs).
When soft-tissue contrast is inadequate to support accurate target and OAR delineation in CT based RTP,
conservatively large treatment margins are used to avoid a geometric miss. The crude treatment prevents
delivering sufficient radiation dose to the tumor without exceeding the tolerance of surrounding normal tissues.
Magnetic resonance (MR) can be used as a simulation platform complementary to CT for improved soft-tissue
conspicuity. Yet, such a complicated, costly and tedious multi-modal RTP workflow along with unavoidable
systematic MR-CT co-registration errors has limited its applications in EBRT, especially at the abdominal site
whereby anatomies are highly mobile. Over the past few years, there is a keen interest in the integration of MR
alone into RTP and even the therapy workflow (i.e. MR-guided radiotherapy, MRgRT). The abdomen poses
critical challenges to MR simulation. Current MR imaging sequences are suboptimal to produce motion-free
images and resolve respiratory motion. MR data processing for abdominal RTP is underdeveloped. Contouring
of target and OARs typically relies on manual, tedious procedures that are time-consuming and variation-prone.
In this proposal, we will substantially improve the MR acquisition and automated multi-organ segmentation, so
the potential of MR as a simulation modality can be fully unleashed for abdominal EBRT. Three specific aims
will be completed. In Aim 1, we will develop and validate a standalone multi-task MR (MT-MR) sequence
dedicated to abdominal MR simulation. In Aim 2, we will develop an MT-MR simulation based multi-organ auto-
segmentation tool. In Aim 3, we will optimize a deep learning-based dose prediction model and assess the
effectiveness of the MT-MR based RTP workflow in adaptive stereotactic body radiotherapy planning of
pancreatic cancer patients. Successful completion of the project will significantly promote the clinical adoption of
MR simulation for abdominal RTP, which will improve treatment precision and outcomes. Moreover, the
developed techniques will open the door to future studies aiming at optimizations in both cancer diagnosis and
radiotherapy.
放射治疗计划的准确性在很大程度上影响外照射的效果。
放射治疗(EBRT)。个体化的RTP从一个“模拟”开始,在这个模拟中,患者处于治疗的姿势
通常使用计算机断层扫描(CT)来确定治疗目标和危险器官(OAR)。
当软组织对比度不足以支持基于CT的RTP中准确的靶点和OAR勾画时,
保守的大治疗边际被用来避免几何错失。粗暴的处理防止
在不超过周围正常组织耐受性的情况下向肿瘤提供足够的辐射剂量。
磁共振(MR)可以作为CT的模拟平台,补充CT以改善软组织
很显眼。然而,如此复杂、昂贵和繁琐的多模式RTP工作流伴随着不可避免的
系统性MR-CT联合配准误差限制了其在EBRT中的应用,特别是在腹部部位
因此解剖结构具有很高的流动性。在过去的几年里,人们对MR的整合产生了浓厚的兴趣
单独进入RTP,甚至进入治疗工作流程(即MR引导的放射治疗,MRGRT)。腹部姿势
MR模拟面临的关键挑战。目前的磁共振成像序列不太适合产生无运动
图像和解析呼吸运动。腹部RTP的MR数据处理还不发达。等高线绘制
目标和桨的使用通常依赖于耗时且容易发生变化的人工、繁琐的程序。
在这个方案中,我们将大幅改进MR采集和自动多器官分割,因此
MR作为一种模拟方式的潜力可以在腹部EBRT中得到充分释放。三个具体目标
将会完成。在目标1中,我们将开发并验证一个独立的多任务MR(MT-MR)序列
致力于腹部磁共振仿真。在目标2中,我们将开发一种基于MT-MR仿真的多器官自动...
分割工具。在目标3中,我们将优化基于深度学习的剂量预测模型,并评估
基于MT-MR的RTP工作流程在自适应立体定向体部放射治疗计划中的效果
胰腺癌患者。该项目的成功完成将极大地促进临床采用
腹部RTP的MR模拟,将提高治疗精度和预后。此外,
开发的技术将为未来的研究打开大门,旨在优化癌症诊断和治疗
放射治疗。
项目成果
期刊论文数量(3)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Contrast-Enhanced Liver Magnetic Resonance Image Synthesis Using Gradient Regularized Multi-Modal Multi-Discrimination Sparse Attention Fusion GAN.
- DOI:10.3390/cancers15143544
- 发表时间:2023-07-08
- 期刊:
- 影响因子:5.2
- 作者:Jiao, Changzhe;Ling, Diane;Bian, Shelly;Vassantachart, April;Cheng, Karen;Mehta, Shahil;Lock, Derrick;Zhu, Zhenyu;Feng, Mary;Thomas, Horatio;Scholey, Jessica E.;Sheng, Ke;Fan, Zhaoyang;Yang, Wensha
- 通讯作者:Yang, Wensha
Fully automated multiorgan segmentation in abdominal magnetic resonance imaging with deep neural networks.
- DOI:10.1002/mp.14429
- 发表时间:2020-10
- 期刊:
- 影响因子:3.8
- 作者:Chen Y;Ruan D;Xiao J;Wang L;Sun B;Saouaf R;Yang W;Li D;Fan Z
- 通讯作者:Fan Z
Single projection driven real-time multi-contrast (SPIDERM) MR imaging using pre-learned spatial subspace and linear transformation.
- DOI:10.1088/1361-6560/ac783e
- 发表时间:2022-06-27
- 期刊:
- 影响因子:3.5
- 作者:Han, Pei;Chen, Junzhou;Xiao, Jiayu;Han, Fei;Hu, Zhehao;Yang, Wensha;Cao, Minsong;Ling, Diane C.;Li, Debiao;Christodoulou, Anthony G.;Fan, Zhaoyang
- 通讯作者:Fan, Zhaoyang
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Zhaoyang Fan其他文献
Zhaoyang Fan的其他文献
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{{ truncateString('Zhaoyang Fan', 18)}}的其他基金
Multi-Task MR Simulation for Abdominal Radiation Treatment Planning
用于腹部放射治疗计划的多任务 MR 模拟
- 批准号:
10331615 - 财政年份:2021
- 资助金额:
$ 68.11万 - 项目类别:
Longitudinal and quantitative MR plaque imaging for prediction of response to medical management in symptomatic intracranial atherosclerosis
纵向和定量 MR 斑块成像用于预测症状性颅内动脉粥样硬化药物治疗的反应
- 批准号:
10331648 - 财政年份:2021
- 资助金额:
$ 68.11万 - 项目类别:
Longitudinal and quantitative MR plaque imaging for prediction of response to medical management in symptomatic intracranial atherosclerosis
纵向和定量 MR 斑块成像用于预测症状性颅内动脉粥样硬化药物治疗的反应
- 批准号:
10366094 - 财政年份:2021
- 资助金额:
$ 68.11万 - 项目类别:
Longitudinal and quantitative MR plaque imaging for prediction of response to medical management in symptomatic intracranial atherosclerosis
纵向和定量 MR 斑块成像用于预测症状性颅内动脉粥样硬化药物治疗的反应
- 批准号:
10579278 - 财政年份:2021
- 资助金额:
$ 68.11万 - 项目类别:
Multi-Task MR Simulation for Abdominal Radiation Treatment Planning
用于腹部放射治疗计划的多任务 MR 模拟
- 批准号:
10379333 - 财政年份:2021
- 资助金额:
$ 68.11万 - 项目类别:
Multi-Task MR Simulation for Abdominal Radiation Treatment Planning
用于腹部放射治疗计划的多任务 MR 模拟
- 批准号:
10053211 - 财政年份:2020
- 资助金额:
$ 68.11万 - 项目类别:
Novel four dimensional magnetic resonance imaging to monitor pancreatic tumor infiltrating blood vessels and tumor response to chemoradiation therapy
新型四维磁共振成像监测胰腺肿瘤浸润血管和肿瘤对放化疗的反应
- 批准号:
9979801 - 财政年份:2019
- 资助金额:
$ 68.11万 - 项目类别:
Longitudinal and quantitative MR plaque imaging for prediction of response to medical management in symptomatic intracranial atherosclerosis
纵向和定量 MR 斑块成像用于预测症状性颅内动脉粥样硬化药物治疗的反应
- 批准号:
9898455 - 财政年份:2019
- 资助金额:
$ 68.11万 - 项目类别:
Novel four dimensional magnetic resonance imaging to monitor pancreatic tumor infiltrating blood vessels and tumor response to chemoradiation therapy
新型四维磁共振成像监测胰腺肿瘤浸润血管和肿瘤对放化疗的反应
- 批准号:
9804795 - 财政年份:2019
- 资助金额:
$ 68.11万 - 项目类别:
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