Basic Research for the Development of Helical Cone-Beam CT

螺旋锥束CT发展的基础研究

• 批准号: 13650452
• 负责人: KUDO Hiroyuki
• 金额: $ 1.41万
• 依托单位: University of Tsukuba
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Scientific Research (C)
• 财政年份: 2001
• 资助国家: 日本
• 起止时间: 2001 至 2002
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-13650452/
• 关键词: CT; Cone-Beam; Image Reconstruction; Angiography; Micro CT; Helical; Medical Imaging; Image Processing; 放射線医学

Cone-beam helical CT (based on combining the cone-beam x-ray exposure and the helical scanning) is receiving increased attention as a future fast 3-D CT. However, enough basic researches are not performed in the current stage about its scanner design and image reconstruction. The aim of this research project is to investigate the following three points which are important to develop helical cone-beam CT scanners. First, we developed an efficient scanner design method which is based on arranging detector elements very efficiently. This allows us to scan the patient with a large (maximum) helical pitch even in the case where the number of detector elements are limited. Next, we developed the following two types of image reconstruction methods. The first type aims at using in commercial helical cone-beam CT scanners. These include an exact algorithm based on the 3-D Radon inversion and an approximate (but very fast) algorithm based on rebinning cone-beam data into fan-beam data. The second type aims at using in angiography and micro-CT systems. The algorithm is an algebraic one which is based on the duality of non-linear programming. During the. development of these algorithms, we also obtained two important insights about basic mathematics of CT image reconstruction. These include a super-short-scan image reconstruction and a new exact cone-beam reconstruction method for general source trajectory. Finally, as an application to real data, we applied the developed algebraic reconstruction algorithm to the micro-CT system at Marquette university. The result demonstrates that it is possible to reconstruct a high-quality 3-D image of a rat lung (confined within a cube of side 2cm) from only 8 projections with the developed algorithm.

锥形束螺旋CT（基于结合锥形束X射线曝光和螺旋扫描）作为未来的快速三维CT正受到越来越多的关注。然而，现阶段对其扫描仪设计和图像重建的基础研究还不够。本研究计划的目的是探讨以下三点，这是重要的发展螺旋锥束CT扫描仪。首先，我们开发了一种高效的扫描器设计方法，该方法基于非常有效地布置探测器元件。这允许我们即使在探测器元件的数量有限的情况下也能以大（最大）螺距扫描患者。接下来，我们开发了以下两种类型的图像重建方法。第一种类型旨在用于商业螺旋锥束CT扫描仪。其中包括基于三维氡反演的精确算法和基于将锥束数据重新组合成扇束数据的近似（但非常快）算法。第二种类型旨在用于血管造影和微型CT系统。该算法是基于非线性规划对偶性的代数算法。在。在这些算法的发展过程中，我们也得到了关于CT图像重建基础数学的两个重要见解。其中包括超短扫描图像重建和一般源轨迹的精确锥束重建方法。最后，作为对真实的数据的应用，我们将所开发的代数重建算法应用于马奎特大学的微型CT系统。实验结果表明，该算法仅用8个投影就能重建出高质量的大鼠肺三维图像。

项目成果

Michel Defrise: "A combination of rebinning and exact reconstruction algorithms for helical cone-beam CT"Proc. Sixth Int. Meeting on Fully 3-D Image Reconstruction in Radiology and Nuclear Medicine. 98-101 (2001)

Michel Defrise：“螺旋锥束 CT 的重新分类和精确重建算法的组合”Proc。

Meihua Li: "An accurate iterative reconstruction algorithm for sparse objects : application to 3-D blood-vessel reconstruction from a limited number of projections"Physics in Medicine and Biology. 47・15. 2599-2610 (2002)

李梅华：“稀疏对象的精确迭代重建算法：基于有限数量的投影的 3-D 血管重建的应用”，医学和生物学物理学 47・15（2002）。

Frederic Noo: "Image reconstruction from fan-beam projections on less than a short-scan"Physics in Medicine and Biology. 47. 2525-2546 (2002)

Frederic Noo：“在小于短扫描的情况下通过扇形束投影进行图像重建”医学和生物学物理学。

Hiroyuki Kudo: "Fourier synthesis method for exact cone-beam reconstruction"日本医用画像工学会誌. 19. 377-388 (2001)

Hiroyuki Kudo：“精确锥束重建的傅里叶合成方法”日本医学影像工程学会杂志 19. 377-388 (2001)。

Hiroyuki Kudo: "New super-short-scan reconstruction algorithm for fan-beam and cone-beam tomography"Conference Record of 2002 IEEE Medical Imaging Conference. M5-M3 (2002)

工藤博之：《扇束和锥束断层扫描的新型超短扫描重建算法》2002年IEEE医学影像会议会议记录。