Single-Shot Quantitative X-ray Imaging for Interventional Procedures

用于介入手术的单次定量 X 射线成像

• 批准号: 10037757
• 负责人: Adam S Wang
• 金额: $ 15.77万
• 依托单位: STANFORD UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-07-01 至 2023-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10037757
• 关键词: Abdomen; Address; Adoption; Area; Arteries; Cancer Etiology; Cessation of life; Chemoembolization; Chest; Clinical; Computer software; Deposition; Diagnostic radiologic examination; Dose; Doxorubicin; Drug Delivery Systems; Drug Monitoring; Drug usage; Ensure; Image; Intervention; Iodine; Methods; Motion; Patient-Focused Outcomes; Patients; Pharmaceutical Preparations; Primary Malignant Neoplasm of Liver; Primary carcinoma of the liver cells; Procedures; Radiation Dose Unit; Research; Roentgen Rays; System; Technology; Therapeutic Embolization; Thick; Time; Tissues; Unresectable; bone; density; design; design and construction; detector; feeding; image guided; image processing; imaging capabilities; imaging modality; imaging system; improved; in vivo; prototype; quantitative imaging; real-time images; response; success; temporal measurement; tool; tumor

Project Abstract Primary liver cancer, and specifically hepatocellular carcinoma (HCC), is the third most common cause of cancer death worldwide. In patients with intermediate-stage or unresectable HCC, transarterial chemoembolization (TACE) is the most widely used therapy. The success of TACE critically depends on the accurate and complete targeting of the tumor. While x-ray image guidance is routinely used to qualitatively visualize the drug delivery, it currently does not enable quantitative guidance and assessment to determine appropriate delivery endpoints. Therefore, TACE endpoints are highly variable across operators and patients, with poor ability to predict tumor response and patient outcome. To accurately monitor drug accumulation in the tumor, real-time quantification of radiopaque iodine (mixed with the drug prior to delivery) is needed with every x-ray image, a concept we entitle single-shot quantitative imaging (SSQI). SSQI is not currently possible due to several challenges with x-ray imaging, including scatter, multiple overlaying materials, and patient and system motion. We therefore propose robust SSQI enabled by the combination of a primary modulator and a dual-layer detector to quantify iodine areal density in real time. The primary modulator provides scatter correction, while the dual-layer detector provides material-specific images with each exposure. The resulting SSQI system provides iodine quantification and dose-efficient grayscale images that are robust against motion. A key strength of the proposed solution is its simplicity in hardware and software – it is compatible with existing system designs, without introducing new complexities or challenges. Our specific aims include: 1) Build a prototype SSQI system. We will design and construct a primary modulator with optimized material, pitch, and thickness, as well as a dual-layer detector with optimized scintillator thicknesses and filter for quantifying iodine in abdominal imaging. We will also develop a real-time image processing pipeline to convert the modulated dual-layer images into quantitative images. 2) Assess the quantitative imaging accuracy of prototype SSQI system. We will evaluate the material quantification accuracy for iodine tasks representative of TACE using phantoms of various sizes with known amounts of iodine, bone, and other tissue-equivalent materials. We hypothesize that SSQI can achieve accurate iodine quantification and grayscale accuracy, while being dose efficient. The proposed studies will establish a new x-ray imaging paradigm that brings quantitation to every image by simultaneously overcoming several current limitations of x-ray imaging while retaining traditional advantages such as high spatial and temporal resolution and large-area imaging. The simplicity and broad applicability of SSQI to x-ray systems has the potential for widespread adoption as a platform for quantitative imaging.

项目摘要 原发性肝癌，特别是肝细胞癌是第三大常见原因 世界范围内的癌症死亡。在中期或不能切除的肝癌患者中，经动脉 化疗栓塞术(TACE)是目前应用最广泛的治疗方法。TACE的成功与否，关键取决于 准确和完整的肿瘤靶向。而x射线图像制导通常用于定性 可视化药物递送，它目前不能实现定量指导和评估来确定 适当的交付端点。因此，TACE终端在不同操作员和患者之间具有很高的可变性， 预测肿瘤反应和患者预后的能力较差。 为了准确监测药物在肿瘤中的蓄积，实时定量放射不透明碘(混合碘 在给药之前)是每一张x射线图像所需要的，我们将这个概念命名为单次定量 成像(SSQI)。SSQI目前是不可能的，因为X射线成像的几个挑战，包括散射， 多种覆盖材料，以及患者和系统运动。因此，我们建议通过以下方式实现稳健的SSQI 一次调制器和双层探测器相结合，实时量化碘面密度。这个 初级调制器提供散射校正，而双层探测器提供特定于材料的图像 每一次曝光。由此产生的SSQI系统提供了碘的量化和剂量效率的灰度 对运动具有健壮性的图像。建议的解决方案的一个关键优势是其硬件和 软件-它与现有的系统设计兼容，不会带来新的复杂性或挑战。 我们的具体目标包括：1)构建一个SSQI原型系统。我们将设计和建造一个主要的 具有优化的材料、间距和厚度的调制器，以及具有优化的闪烁体的双层探测器 腹部成像中定量碘的厚度和滤光片。我们还将开发一个实时图像 处理流水线，将调制后的双层图像转换为定量图像。2)评估 SSQI原型系统的定量成像精度。我们将对材料量化进行评估 使用具有已知碘量的不同大小的模体对代表TACE的碘任务的准确性， 骨和其他组织等效材料。我们假设SSQI可以实现准确的碘 量化和灰度级精度，同时具有剂量效率。 拟议的研究将建立一种新的x射线成像范例，对每一幅图像进行量化。 通过在保留传统优势的同时克服当前x射线成像的几个限制 例如高空间和时间分辨率和大面积成像。的简单性和广泛的适用性 SSQI到x射线系统作为定量成像的平台具有广泛采用的潜力。