Consistency Conditions for Artifact Reduction in Cone-beam CT
锥束CT伪影减少的一致性条件
基本信息
- 批准号:273134754
- 负责人:
- 金额:--
- 依托单位:
- 依托单位国家:德国
- 项目类别:Research Grants
- 财政年份:2015
- 资助国家:德国
- 起止时间:2014-12-31 至 2018-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Tomographic reconstruction is the enabling technology for a wide range of transmission-based 3D imaging modalities, most notably X-ray Computed Tomography (CT). The first CT scanners built in the 70ies used parallel geometries. In order to speed up acquisition, the systems soon moved to fan-beam geometries and a much faster rotation speed. Today´s CT systems rotate four times per second and use a cone-beam geometry. This is fast enough to cover even complex organ motion such as the beating heart. However, there exists a large class of specialized CT systems that are not able to perform such fast scans. Systems using a flat-panel detector, as they are employed in C-arm angiography systems, on-board imaging systems in radiation therapy, or mobile C-arm systems, face mechanical challenges as they were mainly built to perform 2D imaging. About 15 years ago flat-detector scanners have been enabled to acquire three dimensional data. 3D imaging on these systems, however, is challenging due to their slower acquisition speed between five seconds and one minute and a small field-of-view (FOV) with a diameter of 25 to 40 cm. These drawbacks are related to the scanners´ design as highly specialized modalities. In contrast to other disadvantages of flat panel detectors like increased X-ray scattering and limited dynamic range, they will not be remedied by hardware evolution in the foreseeable future, e.g. faster motion is impossible because of the risk of collisions in the operation room. As a result, Flat-Detector Computed Tomography (FDCT) will continue to be more susceptible to artifacts in the reconstructed image due to motion and truncation. The goal of this project is to extend existing data consistency conditions, which can be practically used for FDCT to remedy intrinsic weaknesses of FDCT imaging, most importantly motion and truncation. Our goal is the practical applicability on clinical data. Thus, the new algorithms will be tested on physical phantom and patient data acquired on real FDCT scanners of our project partners. Our long-term vision behind this project is to find a concise and complete formulation for all redundancies within FDCT projection data for general trajectories and fully exploit them in the reconstruction process. Redundancies are inherent to every FDCT scan done in today´s clinical practice, but they are ignored entirely as a source of information. Data consistency conditions do not require any additional effort during the acquisitions and only little prior knowledge such as the object extent or even no assumptions about the underlying object, unlike for example total variation regularization in iterative reconstruction. Hence, they rely solely on information which is naturally present in the data.
断层扫描重建是各种基于传输的 3D 成像模式的支持技术,尤其是 70 年代建造的第一台 CT 扫描仪使用并行几何结构,以加快采集速度。很快就转向了扇形束几何结构和更快的旋转速度。如今的 CT 系统每秒旋转四次,并使用锥形束几何结构,这甚至足以覆盖复杂的器官运动,例如跳动的心脏。然而,存在一大类专用 CT 系统无法执行如此快速的扫描,因为它们用于 C 形臂血管造影系统、放射治疗中的机载成像系统。移动 C 臂系统面临机械挑战,因为它们主要用于执行 2D 成像,大约 15 年前,平面探测器扫描仪已能够在这些系统上获取 3D 成像,但由于速度较慢,因此面临着挑战。采集速度在五秒之间一分钟和直径为 25 至 40 厘米的小视场 (FOV) 与平板探测器的其他缺点(如增加的 X-)相比,这些缺点与扫描仪的设计有关。射线散射和有限的动态范围,在可预见的未来,它们将无法通过硬件发展来弥补,例如,由于手术室中存在碰撞风险,不可能实现更快的运动。因此,平面探测器计算机断层扫描。由于运动和截断,FDCT 将继续更容易受到重建图像中的伪影的影响,该项目的目标是扩展现有的数据一致性条件,该条件实际上可用于 FDCT,以弥补 FDCT 成像的内在弱点。我们的目标是临床数据的实际适用性,因此,新算法将在我们项目合作伙伴的真实 FDCT 扫描仪上采集的物理模型和患者数据上进行严格的测试。为一般轨迹的 FDCT 投影数据中的所有冗余找到简洁而完整的公式,并在重建过程中充分利用它们。冗余是当今临床实践中进行的每次 FDCT 扫描所固有的,但它们作为一个来源而被完全忽略。数据一致性条件在采集过程中不需要任何额外的工作,并且只需要很少的先验知识,例如对象范围,甚至不需要关于底层对象的假设,这与迭代重建中的总变化正则化不同,因此,它们仅依赖于信息。哪个自然地存在于数据中。
项目成果
期刊论文数量(1)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Consistency‐based respiratory motion estimation in rotational angiography
旋转血管造影中基于一致性的呼吸运动估计
- DOI:10.1002/mp.12021
- 发表时间:2017-09-01
- 期刊:
- 影响因子:3.8
- 作者:M. Unberath;A. Aichert;S. Achenbach;A. Maier
- 通讯作者:A. Maier
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Professor Dr.-Ing. Andreas Maier其他文献
Professor Dr.-Ing. Andreas Maier的其他文献
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{{ truncateString('Professor Dr.-Ing. Andreas Maier', 18)}}的其他基金
Joint Iterative Reconstruction and Motion Compensation for Optical Coherence Tomography Angiography
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- 批准号:
414781207 - 财政年份:2019
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