Dehghan Ehsan, Lee Junghoon, Fallavollita Pascal, Kuo Nathanael, Deguet Anton, Burdette E Clif, Song Danny, Prince Jerry L, Fichtinger Gabor
Johns Hopkins University, USA.
Med Image Comput Comput Assist Interv. 2011;14(Pt 2):615-22. doi: 10.1007/978-3-642-23629-7_75.
Ultrasound-Fluoroscopy fusion is a key step toward intraoperative dosimetry for prostate brachytherapy. We propose a method for intensity-based registration of fluoroscopy to ultrasound that obviates the need for seed segmentation required for seed-based registration. We employ image thresholding and morphological and Gaussian filtering to enhance the image intensity distribution of ultrasound volume. Finally, we find the registration parameters by maximizing a point-to-volume similarity metric. We conducted an experiment on a ground truth phantom and achieved registration error of 0.7 +/- 0.2 mm. Our clinical results on 5 patient data sets show excellent visual agreement between the registered seeds and the ultrasound volume with a seed-to-seed registration error of 1.8 +/- 0.9mm. With low registration error, high computational speed and no need for manual seed segmentation, our method is promising for clinical application.
超声-荧光透视融合是前列腺近距离放射治疗术中剂量测定的关键一步。我们提出了一种基于强度的荧光透视与超声配准方法，该方法无需基于种子的配准所需的种子分割。我们采用图像阈值处理、形态学和高斯滤波来增强超声容积的图像强度分布。最后，通过最大化点到容积相似性度量来找到配准参数。我们在一个真实模型上进行了实验，实现了0.7±0.2毫米的配准误差。我们对5个患者数据集的临床结果显示，配准后的种子与超声容积之间在视觉上具有良好的一致性，种子到种子的配准误差为1.8±0.9毫米。由于配准误差低、计算速度快且无需手动进行种子分割，我们的方法在临床应用中具有广阔前景。
