一种混合配准的前列腺分割算法
Atlas-Based Prostate Segmentation Using an Hybrid Registration
摘要：
目的：本文介绍了磁共振图像（MRI）的前列腺分割的半自动方法的初步结果，其目的是纳入前列腺近距离放射治疗的导航系统。方法：该方法是基于从18个MRI检查到患者图像的人口计算的解剖图谱的配准。将基于强度的配准与鲁棒的点匹配算法耦合的混合配准框架用于图谱构建和图谱配准。结果：该方法在与用“留一法”构建地图集相同的数据集上得到了验证。结果给出了一个平均误差为3.39毫米和标准偏差为1.95毫米的专家分割。结论：我们认为，这种分割工具可能是一个非常有价值的帮助，临床医生的常规定量图像开发。
英文摘要：
Purpose: This paper presents the preliminary results of a semi-automatic method for prostate segmentation of Magnetic Resonance Images (MRI) which aims to be incorporated in a navigation system for prostate brachytherapy. Methods: The method is based on the registration of an anatomical atlas computed from a population of 18 MRI exams onto a patient image. An hybrid registration framework which couples an intensity-based registration with a robust point-matching algorithm is used for both atlas building and atlas registration. Results: The method has been validated on the same dataset that the one used to construct the atlas using the "leave-one-out method". Results gives a mean error of 3.39 mm and a standard deviation of 1.95 mm with respect to expert segmentations. Conclusions: We think that this segmentation tool may be a very valuable help to the clinician for routine quantitative image exploitation.
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