Cone-beam breast CT using an offset detector: effect of detector offset and image reconstruction algorithm.

Cone-beam breast CT using an offset detector: effect of detector offset and image reconstruction algorithm.
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使用偏移探测器的锥形束乳腺CT:探测器偏移和图像重建算法的影响。

DOI:
10.1088/1361-6560/ac5fe1
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发表时间:
2022-04-07
影响因子:
3.5
通讯作者:
Vedantham, Srinivasan
Vedantham, Srinivasan
中科院分区:
工程技术2区
文献类型:
--
作者:
Tseng, Hsin Wu;Karellas, Andrew;Vedantham, Srinivasan

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一个专用的锥形束乳腺计算机断层扫描(BCT),使用高分辨率,低噪声探测器操作在偏移探测器的几何形状已经开发出来。本研究调查了不同探测器偏移和图像重建算法的影响,以确定探测器偏移和重建算法的适当组合。使用Feldkamp-Davis-Kress(FDK)算法重建30个包含钙化病变的乳房的投影数据集(360°的300个投影),这些数据集是使用原型锥束BCT系统采集的,该系统包括具有1024×768探测器像素的40×30 cm平板探测器,并作为参考。对投影数据集进行回顾性截断,以模拟具有768 × 768和640 × 768探测器像素的正弦图的锥束数据集,分别对应于5 cm和7.5 cm的横向偏移。这些数据集使用具有适当权重的FDK算法和基于ASD-POCS的快速、全变分-正则化、迭代、统计重建技术(FRIST)进行重建,总共得到4个偏移探测器重建(2个探测器偏移× 2种重建方法)。从所有重建中确定两个正交方向上钙化的信号差噪比(SDNR)、方差和半高全宽(FWHM)。所有定量测量均以线性衰减系数(1/cm)为单位在图像上进行。钙化的FWHM在重建算法和探测器格式之间没有差异(P>0.262),这意味着空间分辨率相当。对于选定的探测器偏移,FRIST算法在方差和SDNR方面优于FDK(P<0.0001)。对于给定的重建方法,5 cm偏移提供了更好的结果。这项研究表明,使用压缩感知为基础的,FRIST算法重建正弦图从偏移检测器的可行性。在所研究的重建方法和探测器偏移中,对应于30 cm × 30 cm和5 cm横向偏移的FRIST重建实现了最佳性能。使用这种偏移几何形状的临床原型已经开发并安装用于临床试验。
A dedicated cone-beam breast computed tomography (BCT) using a high-resolution, low-noise detector operating in offset-detector geometry has been developed. This study investigates the effects of varying detector offsets and image reconstruction algorithms to determine the appropriate combination of detector offset and reconstruction algorithm. Projection datasets (300 projections in 360°) of 30 breasts containing calcified lesions that were acquired using a prototype cone-beam BCT system comprising a 40×30-cm flat-panel detector with 1024×768 detector pixels were reconstructed using Feldkamp-Davis-Kress (FDK) algorithm and served as the reference. The projection datasets were retrospectively truncated to emulate cone-beam datasets with sinograms of 768 × 768 and 640 × 768 detector pixels, corresponding to 5 cm and 7.5 cm lateral offsets, respectively. These datasets were reconstructed using the FDK algorithm with appropriate weights and an ASD-POCS-based Fast, total variation-Regularized, Iterative, Statistical reconstruction Technique (FRIST), resulting in a total of 4 offset-detector reconstructions (2 detector offsets × 2 reconstruction methods). Signal difference-to-noise ratio (SDNR), variance, and full-width at half-maximum (FWHM) of calcifications in two orthogonal directions were determined from all reconstructions. All quantitative measurements were performed on images in units of linear attenuation coefficient (1/cm). The FWHM of calcifications did not differ (P>0.262) among reconstruction algorithms and detector formats, implying comparable spatial resolution. For a chosen detector offset, the FRIST algorithm outperformed FDK in terms of variance and SDNR (P<0.0001). For a given reconstruction method, the 5 cm offset provided better results. This study indicates the feasibility of using the compressed sensing-based, FRIST algorithm to reconstruct sinograms from offset-detectors. Among the reconstruction methods and detector offsets studied, FRIST reconstructions corresponding to a 30 cm × 30 cm with 5 cm lateral offset, achieved the best performance. A clinical prototype using such an offset geometry has been developed and installed for clinical trials.
DOI: 10.1088/0031-9155/59/11/2659
发表时间: 2014-06-07
影响因子: 3.5
作者:
Bian J;Yang K;Boone JM;Han X;Sidky EY;Pan X
通讯作者: Pan X
DOI: 10.1118/1.4915079
发表时间: 2015-04-01
期刊: MEDICAL PHYSICS
影响因子: 3.8
作者:
Gazi, Peymon M.;Yang, Kai;Aminololama-Shakeri, Shadi
通讯作者: Aminololama-Shakeri, Shadi
DOI: 10.1088/0031-9155/58/12/4205
发表时间: 2013-06-21
影响因子: 3.5
作者:
Lueck, Ferdinand;Kolditz, Daniel;Kalender, Willi A.
通讯作者: Kalender, Willi A.
在专用混合乳房仪的开发中评估倾斜的锥束CT轨道。
DOI: 10.1088/0031-9155/54/12/004
发表时间: 2009-06-21
影响因子: 3.5
作者:
Madhav, P.;Crotty, D. J.;McKinley, R. L.;Tornai, M. P.
通讯作者: Tornai, M. P.
DOI: 10.1098/rsta.2014.0387
发表时间: 2015-06-13
期刊: Philosophical transactions. Series A, Mathematical, physical, and engineering sciences
影响因子: --
作者:
Jørgensen JS;Sidky EY
通讯作者: Sidky EY