Centre for Medical Radiation Physics, University of Wollongong, Australia. Author to whom any correspondence should be addressed.
Phys Med Biol. 2020 Nov 3;65(21):215015. doi: 10.1088/1361-6560/abac9e.
BrachyView is a novel in-body imaging system developed to provide real-time intraoperative dosimetry for low dose rate prostate brachytherapy treatments. Seed positions can be reconstructed after in-vivo implantation using a high-resolution pinhole gamma camera inserted into the patient rectum. The obtained data is a set of 2D projections of the seeds on the image plane. The 3D reconstruction algorithm requires the identification of the seed's centre of mass. This work presents the development and techniques adopted to build an algorithm that provides the means for fully automatic seed centre of mass identification and 3D position reconstruction for real-time applications. The algorithm presented uses a local feature detector, speeded up robust features, to perform detection of brachytherapy seed 2D projections from images, allowing for robust seed identification. Initial results have been obtained with datasets of 30, 96 and 98 I-125 brachytherapy seeds implanted into a prostate gel phantom. It can detect 97% of seeds and correctly match 97% of seeds. The average overall computation time of 2.75 s per image and improved reconstruction accuracy of 22.87% for the 98 seed dataset was noted. Elimination processes for initial false positive detection removal have shown to be extremely effective, resulting in a 99.9% reduction of false positives, and when paired with automatic frame alignment and subtraction procedures allows for the effective removal of excess counts generated by previously implanted needles. The proposed algorithm will allow the BrachyView system to be used as a real-time intraoperative dosimetry tool for low dose rate prostate brachytherapy treatments.
BrachyView 是一种新型的体内成像系统,旨在为低剂量率前列腺近距离放射治疗提供实时术中剂量测量。在体内植入后,可以使用插入患者直肠的高分辨率针孔伽马相机重建种子位置。获得的数据是种子在图像平面上的一组 2D 投影。3D 重建算法需要确定种子的质心位置。这项工作介绍了开发和采用的技术,以构建一种算法,为实时应用提供全自动种子质心识别和 3D 位置重建的手段。所提出的算法使用局部特征检测器(加速稳健特征)来执行从图像中检测近距离放射治疗种子的 2D 投影,从而实现稳健的种子识别。已经使用植入前列腺凝胶模型中的 30、96 和 98 个 I-125 近距离放射治疗种子的数据集获得了初步结果。它可以检测到 97%的种子,并正确匹配 97%的种子。注意到,98 个种子数据集的平均整体计算时间为每个图像 2.75 秒,重建精度提高了 22.87%。消除初始假阳性检测的过程非常有效,导致假阳性减少了 99.9%,并且与自动帧对准和减法过程结合使用,可以有效去除先前植入的针产生的多余计数。拟议的算法将使 BrachyView 系统能够用作低剂量率前列腺近距离放射治疗的实时术中剂量测量工具。