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中文摘要
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摘要/项目摘要 该计划的目的是改善锥形束计算机断层扫描(CBCT)成像, 一种介入C形臂,特别是用于引导肝肿瘤的导管引导栓塞,以及多种其它的介入C形臂, 介入手术。肝导管定向治疗的当前护理标准使用 介入C形臂和注射造影剂以显示肿瘤及其供血血管。C形臂CBCT可以 用于了解病变解剖结构,允许肿瘤和供血血管的3D可视化。 然而,由于许多重要的缺陷,当前的C形臂CBCT远未针对应用进行优化。 有关检查时间、辐射剂量、图像质量和对工作流程的侵入性的限制。这些 可以通过开发创新的CBCT扫描和基于优化的 重建。在该项目中,我们专注于解决C形臂CBCT在图像中的实际局限性, 通过创新扫描和基于优化的开发, 重建,并证明其转化为图像引导的肝脏肿瘤的临床任务的潜力 治疗该项目的具体目标包括(1)开发基于优化的重建, 改进当前的C形臂成像,(2)开发扫描和基于优化的重建,以进一步 改善C型臂成像,以及(3)验证、表征和评估基于优化的重建。的 该项目的临床和技术意义很高,因为它可以直接影响重大 肝癌和其他形式的癌症,特别是肺癌和肾癌的干预和治疗,以及 因为它可以导致先进的C臂CBCT技术的发展, 挑战,如稀疏视图,截断,和有限的角度范围的问题,非常高的实际 功该项目具有很高的创新水平,因为它包括许多创造性的想法和方法, 增强工作流程并用于减少造影剂体积、辐射剂量和患者不适。
英文摘要
Abstract/Project Summary The objective of this program is to improve cone-beam computed tomography (CBCT) imaging performed on an interventional C-arm for guiding catheter-directed embolization of liver tumor in particular, and multiple other interventional procedures. The current standard of care for hepatic catheter directed therapy uses an interventional C-arm and injected contrast agent to visualize tumor and its feeding vessels. C-arm CBCT can be used to understand the lesion anatomy, allowing 3D visualization of the tumor and feeding vessels. However, current C-arm CBCT is far from being optimized for the application due to a number of important limitations concerning exam time, radiation dose, image quality, and intrusiveness to workflow. These limitations can be addressed through the development of innovative CBCT scans and optimization-based reconstructions. In the project, we focus on tackling the practical limitations of the C-arm CBCT in image- guided liver-tumor catheter delivery through the development of innovative scans and optimization-based reconstructions, and demonstrating their translational potential to clinical tasks of image-guided liver-tumor treatment. The specific aims of the project include (1) to develop optimization-based reconstruction for improving current C-arm imaging, (2) to develop scans and optimization-based reconstruction for further improving C-arm imaging, and (3) to verify, characterize, and evaluate optimization-based reconstructions. The clinical and technical significances of the project are high, because it can directly impact significantly intervention and treatment of liver-cancer and other forms of cancer, particularly, in the lung and kidney, and because it can lead to the development of advanced C-arm CBCT technology for addressing technical challenges such as sparse-view, truncation, and limited-angular-range problems of extremely high practical merit. The project has a high level of innovation, because it includes numerous creative ideas and methods for enhancing workflow and for reducing contrast volume, radiation dose, and patient discomfort.
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Algorithm-Enabled Auto-Calibrating Quantitative Dual-Energy CT
  • 批准号:
    10448987
  • 项目类别:
  • 资助金额:
    $22.83万
  • 财政年份:
    2022
  • 负责人:
    XIAOCHUAN PAN
  • 依托单位:
Advanced iterative image reconstruction for digital breast tomosynthesis - Resubmission 01
  • 批准号:
    9978584
  • 项目类别:
  • 资助金额:
    $52.85万
  • 财政年份:
    2018
  • 负责人:
    XIAOCHUAN PAN
  • 依托单位:
Advanced iterative image reconstruction for digital breast tomosynthesis - Resubmission 01
  • 批准号:
    10224861
  • 项目类别:
  • 资助金额:
    $51.79万
  • 财政年份:
    2018
  • 负责人:
    XIAOCHUAN PAN
  • 依托单位:
36th Annual International Conference of the IEEE Engineering in Medicine and Biol
  • 批准号:
    8720474
  • 项目类别:
  • 资助金额:
    $1.0万
  • 财政年份:
    2014
  • 负责人:
    XIAOCHUAN PAN
  • 依托单位:
海外基金