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.

本文介绍了一种半自动半自动前列腺磁共振图像分割方法的初步结果，旨在将其纳入前列腺放射性治疗的导航系统中。该方法基于由 18 个磁共振检查组成的人群计算的解剖图谱的配准，并采用一种混合配准框架，将基于强度的配准与强大的点匹配算法相结合，用于解剖图谱的构建和配准。在与专家分割相比的验证中，该方法的平均误差为 3.39 毫米，标准差为 1.95 毫米。我们认为，这种分割工具可能对临床医生的常规定量图像分析非常有帮助。