Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA.
Med Image Anal. 2012 Oct;16(7):1347-58. doi: 10.1016/j.media.2012.06.001. Epub 2012 Jun 16.
Prostate brachytherapy is a treatment for prostate cancer using radioactive seeds that are permanently implanted in the prostate. The treatment success depends on adequate coverage of the target gland with a therapeutic dose, while sparing the surrounding tissue. Since seed implantation is performed under transrectal ultrasound (TRUS) imaging, intraoperative localization of the seeds in ultrasound can provide physicians with dynamic dose assessment and plan modification. However, since all the seeds cannot be seen in the ultrasound images, registration between ultrasound and fluoroscopy is a practical solution for intraoperative dosimetry. In this manuscript, we introduce a new image-based nonrigid registration method that obviates the need for manual seed segmentation in TRUS images and compensates for the prostate displacement and deformation due to TRUS probe pressure. First, we filter the ultrasound images for subsequent registration using thresholding and Gaussian blurring. Second, a computationally efficient point-to-volume similarity metric, an affine transformation and an evolutionary optimizer are used in the registration loop. A phantom study showed final registration errors of 0.84 ± 0.45 mm compared to ground truth. In a study on data from 10 patients, the registration algorithm showed overall seed-to-seed errors of 1.7 ± 1.0 mm and 1.5 ± 0.9 mm for rigid and nonrigid registration methods, respectively, performed in approximately 30s per patient.
前列腺近距离放疗是一种使用放射性种子永久性植入前列腺来治疗前列腺癌的方法。治疗的成功取决于用治疗剂量充分覆盖靶腺,同时保护周围组织。由于种子植入是在经直肠超声 (TRUS) 成像下进行的,因此术中超声中种子的定位可以为医生提供动态剂量评估和计划修改。然而,由于并非所有种子都能在超声图像中看到,因此超声和荧光透视图像之间的配准是术中剂量学的一种实用解决方案。在本文中,我们介绍了一种新的基于图像的非刚性配准方法,该方法无需在 TRUS 图像中手动分割种子,并补偿由于 TRUS 探头压力导致的前列腺位移和变形。首先,我们使用阈值处理和高斯模糊对超声图像进行过滤,以便后续进行配准。其次,在配准循环中使用计算效率高的点到体相似性度量、仿射变换和进化优化器。在对 10 名患者数据进行的研究中,与真实值相比,最终注册误差为 0.84 ± 0.45 毫米。该注册算法在大约 30 秒内为每位患者完成了刚性和非刚性注册方法的种子间误差分别为 1.7 ± 1.0 毫米和 1.5 ± 0.9 毫米。