SparseCT: Order-of-Magnitude Dose Reduction with Interrupted-Beam Acquisition

SparseCT：通过断射束采集实现数量级剂量减少

• 批准号: 9145203
• 负责人: Ricardo Otazo
• 金额: $ 70.82万
• 依托单位: NEW YORK UNIVERSITY SCHOOL OF MEDICINE
• 依托单位国家: 美国
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-09-16 至 2019-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9145203
• 关键词: Abdomen; Algorithms; Angiography; Area; Attention; Chest; Chronic; Clinical; Collaborations; Collimator; Crohn' s disease; Data; Diagnostic Imaging; Dose; Evaluation; Exposure to; Goals; Gold; Head; Health; Image; Interruption; Lung; Magnetic Resonance Imaging; Medical; Methods; Modeling; Morphologic artifacts; NIH Program Announcements; National Institute of Biomedical Imaging and Bioengineering; Noise; Patients; Pattern; Pelvis; Performance; Photons; Physical environment; Physics; Physiologic pulse; Plants; Population; Process; Radiation; Recurrence; Research; Risk; Roentgen Rays; Sampling; Scanning; Source; Spottings; Starvation; System; Technology; Testing; Time; Tomography, Computed, Scanners; Tube; Variant; Work; X-Ray Computed Tomography; base; data acquisition; design; detector; human subject; image reconstruction; improved; industry partner; new technology; novel; novel strategies; prototype; reconstruction; simulation

 DESCRIPTION (provided by applicant): Rapidly increasing utilization of X-ray computed tomography (CT) has heightened concerns about the collective radiation exposure to the population as a whole, and about potential risks to patients undergoing recurrent imaging for chronic conditions or persistent complaints. These concerns have motivated a great deal of attention to practical radiation-dose-reduction strategies. Current dose reduction approaches, such as iterative reconstruction or improved detector technology, each offer only moderate dose reductions up to 30- 40% below the prior state of the art. We will pursue more-than-incremental improvements in radiation dose by changing the current paradigm of CT data acquisition and image reconstruction: a reduced number of X-ray projections will be acquired, in an angularly subselected pattern associated with random-appearing or "incoherent" artifacts which will then be removed by compressed-sensing (CS) reconstruction algorithms. Several groups have shown the potential of CS to reconstruct undersampled CT data in simulations, but no practical means of incoherent undersampling has yet been demonstrated in the challenging physical environment of a rapidly rotating CT gantry. In this project, we will develop and evaluate novel approaches for rapid and incoherent interruption of the X-ray source on the CT gantry which, when combined with our sparsity-based CS reconstruction algorithms, will enable reconstruction of high-quality images from a markedly reduced number of projections. In particular, we will investigate a novel moving multihole collimator design which will block X-rays directed towards different subsets of detectors at different gantry angles. We have already shown these approaches to be capable of order-of-magnitude dose reductions in preliminary simulations in both phantoms and human subjects, but in order to evaluate our methods in actual practice, we will work closely with Siemens Medical Solutions, who will dedicate an experimental test bay at their CT plant in Forchheim to develop a practical test system as a prelude to functional clinical scanner prototypes. Successful completion of the aims of this study will lay the groundwork for a paradigm-changing approach to CT data acquisition and reconstruction, enabling heretofore inaccessible dose reductions. Specific Aims are as follows: 1. Validate the dose-reduction potential of incoherent interrupted-beam acquisition and sparse reconstruction using realistic simulations carefully designed to incorporate the physics of the modified acquisition process. 2. Evaluate achievable dose reduction with preserved image quality using retrospective undersampling of clinical scan data (using the model from Aim 1), and compare with gold-standard dose reduction methods. 3. Develop a test system for interrupted-beam CT acquisition in collaboration with our industry partner, and evaluate performance in phantoms.

 描述（由适用提供）：X射线计算机断层扫描（CT）迅速增加的利用率加剧了人们对整个人群的集体辐射暴露的担忧，以及对正在进行慢性病或持续投诉的反复成像的患者的潜在风险。这些担忧激发了人们对实际减少辐射剂量减少策略的极大关注。当前的减少剂量减少方法，例如迭代重建或改进的检测器技术，每种方法仅提供中等剂量的减少，低于先前的现状30-40％。我们将通过更改当前的CT数据获取和图像重建的范式来追求辐射剂量的更大改进：以随机或“ comperative of的随机呈现”模式以随机或“不相关”的artifacts相关联的模式，将获得X射线项目的数量减少，然后通过压缩（Compressed）重新构建ALG（CS）ALG ALG ALG ALG ORNGINITION）ALG。几个小组已经表明，CS在模拟中重建了不采样的CT数据的潜力，但是在快速旋转的CT龙门的挑战物理环境中尚未证明没有实践性的不连贯采样手段。在这个项目中，我们将开发和评估新颖的方法，以快速且不一致的X射线源中的X射线源中断，当与我们的基于稀疏性的CS重建算法结合使用时，该方法将可以从显着减少的投影数量中重建高质量图像。特别是，我们将研究一种新型移动的多台孔准直仪设计，该设计将阻止针对不同龙门角度探测器的不同子集的X射线。我们已经表明，这些方法能够降低幻象和人类受试者的缩小剂量剂量，但是为了在实际实践中评估我们的方法，我们将与Siemens Medical Solutions紧密合作，他们将在Forchheim的CT Plant中专用于Forchheim的实验性测试系统，以开发一个实用的clorter kuticter kutical clortal cintical clordic clorder clordic clorder clordic clorder clorder clorder。成功完成这项研究的目标将为CT数据获取和重建的改变范式的方法奠定基础，从而使迄今难以及的剂量减少。具体目的如下：1。使用精心设计的逼真的模拟验证不一致的中断梁采集和稀疏重建的剂量减少潜力，以结合修改后的采集过程的物理。 2。使用临床扫描数据（使用AIM 1中的模型）回顾性降采样来评估可实现的剂量减少，并与黄金标准剂量减少方法进行比较。 3。与我们的行业合作伙伴合作开发用于中断的梁CT收购的测试系统，并评估幻影的性能。