CAJ | 학술논문

　　局部结构的尺度信息是医学图像配准中一个重要的参数。然而，现有的图像配准研究大多没有关注对图像局部结构尺度的选择。该文提出了一种数据驱动的局部结构尺度选择方法，通过基于最小描述长度准则的后验概率最大化和基于马尔科夫随机场模型的空间一致性约束，从各向异性的离散尺度空间中，为每一个经超像素分割得到的局部结构分配最佳的尺度，以满足后续非刚性医学图像配准中对局部结构尺度信息的需求。
　　국부결구적척도신식시의학도상배준중일개중요적삼수。연이，현유적도상배준연구대다몰유관주대도상국부결구척도적선택。해문제출료일충수거구동적국부결구척도선택방법，통과기우최소묘술장도준칙적후험개솔최대화화기우마이과부수궤장모형적공간일치성약속，종각향이성적리산척도공간중，위매일개경초상소분할득도적국부결구분배최가적척도，이만족후속비강성의학도상배준중대국부결구척도신식적수구。
The scale of local structure is a key parameter in medical image registration. Unfortunately, no much attention has been paid to the scale selection for the local structures in the images. This paper proposes a data-driven scale selection method for local structures in the image. By using minimal description length criterion to maximize the posterior probability of local structure region with coherence constraint based on the Markov random field model, an optimal scale for each local structure, which is segmented with super-pixel representation, is assigned in terms of variance in a discrete anisotropic scale space. Therefore, the local structure’s scale can be selected for further non-rigid medical image registration.