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Clinical application and validation of an iterative forward projection matching algorithm for permanent brachytherapy seed localization from conebeam-CT x-ray projections

机译:锥形束CT X射线永久性近距离放射治疗种子定位的迭代前向投影匹配算法的临床应用和验证

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摘要

>Purpose: To experimentally validate a new algorithm for reconstructing the 3D positions of implanted brachytherapy seeds from postoperatively acquired 2D conebeam-CT (CBCT) projection images.>Methods: The iterative forward projection matching (IFPM) algorithm finds the 3D seed geometry that minimizes the sum of the squared intensity differences between computed projections of an initial estimate of the seed configuration and radiographic projections of the implant. In-house machined phantoms, containing arrays of 12 and 72 seeds, respectively, are used to validate this method. Also, four 103Pd postimplant patients are scanned using an ACUITY digital simulator. Three to ten x-ray images are selected from the CBCT projection set and processed to create binary seed-only images. To quantify IFPM accuracy, the reconstructed seed positions are forward projected and overlaid on the measured seed images to find the nearest-neighbor distance between measured and computed seed positions for each image pair. Also, the estimated 3D seed coordinates are compared to known seed positions in the phantom and clinically obtained VariSeed planning coordinates for the patient data.>Results: For the phantom study, seed localization error is (0.58±0.33) mm. For all four patient cases, the mean registration error is better than 1 mm while compared against the measured seed projections. IFPM converges in 20–28 iterations, with a computation time of about 1.9–2.8 min∕iteration on a 1 GHz processor.>Conclusions: The IFPM algorithm avoids the need to match corresponding seeds in each projection as required by standard back-projection methods. The authors’ results demonstrate ∼1 mm accuracy in reconstructing the 3D positions of brachytherapy seeds from the measured 2D projections. This algorithm also successfully localizes overlapping clustered and highly migrated seeds in the implant.
机译:>目的:要通过实验验证从术后采集的2D锥束CT(CBCT)投影图像重建植入的近距离放射治疗种子的3D位置的新算法。>方法:匹配(IFPM)算法找到了3D种子几何形状,该几何形状使种子配置的初始估计值的计算投影与植入物的射线照相投影之间的强度差平方和最小。内部加工的体模分别包含12和72个种子的阵列,用于验证该方法。另外,使用ACUITY数字模拟器扫描了四名 103 Pd植入后患者。从CBCT投影集中选择三到十张X射线图像,并对其进行处理以创建仅二进制种子的图像。为了量化IFPM精度,将重构的种子位置正向投影并覆盖在测量的种子图像上,以找到每个图像对的测量和计算的种子位置之间的最近邻居距离。同样,将估计的3D种子坐标与体模中的已知种子位置进行比较,并从临床上获得VariSeed规划坐标以获取患者数据。>结果:对于体模研究,种子定位误差为(0.58±0.33)毫米对于所有四例患者,与测得的种子投影相比,平均配准误差均优于1 mm。 IFPM在20–28次迭代中收敛,在1 GHz处理器上迭代时间约为1.9–2.8分钟。>结论: IFPM算法避免了根据需要匹配每个投影中的相应种子的需求。通过标准的反投影方法。作者的结果表明,从测量的2D投影重建近距离放射治疗种子的3D位置时,精度约为1毫米。该算法还可以成功地定位植入物中重叠的簇状和高度迁移的种子。

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