Feature-based registration of histopathology images with different stains: an application for computerized follicular lymphoma prognosis.
Feature-based registration of histopathology images with different stains: an application for computerized follicular lymphoma prognosis.
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基于特征的组织病理学图像具有不同污渍的图像：计算机化卵泡淋巴瘤预后的应用。
DOI：
10.1016/j.cmpb.2009.04.012
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发表时间：
2009-12
影响因子：
6.1
通讯作者：
Gurcan M
中科院分区：
文献类型：
--
作者：
Cooper L;Sertel O;Kong J;Lozanski G;Huang K;Gurcan M
滤泡性淋巴瘤（FL）是第二常见的非霍奇金淋巴瘤。FL的手工组织学分级受制于显着的阅读器间和阅读器内的变化。一种很有前途的分级方法是开发一种计算机辅助系统，以提高一致性和准确性。通过精确的非刚性图像配准，将不同染色类型的相邻幻灯片的信息关联需要在数字化切片对之间建立空间对应关系。然而，不同染色类型的不同外观对现有的配准方法提出了挑战。本研究提出了一种不同染色类型的组织切片图像自动非刚性配准方法。该方法基于匹配代表小解剖结构的高级特征。这种特征的选择提供了丰富的匹配环境，但也导致高不匹配概率。通过几何推理建立局部相干特征群，提高匹配置信度。在一组代表不同疾病阶段的FL图像上验证了所提出的方法。统计分析表明，在给定合适的特征集的情况下，自动配准的精度与人工配准相当。
Follicular lymphoma (FL) is the second most common type of non-Hodgkin’s lymphoma. Manual histological grading of FL is subject to remarkable inter-and intra-reader variations. A promising approach to grading is the development of a computer-assisted system that improves consistency and precision. Correlating information from adjacent slides with different stain types requires establishing spatial correspondences between the digitized section pair through a precise nonrigid image registration. However, the dissimilar appearances of the different stain types challenges existing registration methods. This study proposes a method for the automatic nonrigid registration of histological section images with different stain types. This method is based on matching high level features that are representative of small anatomical structures. This choice of feature provides a rich matching environment, but also results in a high mismatch probability. Matching confidence is increased by establishing local groups of coherent features through geometric reasoning. The proposed method is validated on a set of FL images representing different disease stages. Statistical analysis demonstrates that given a proper feature set the accuracy of automatic registration is comparable to manual registration.
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DOI：
10.1016/s0734-189x(89)80014-3
发表时间：
1989-04-01
期刊：
COMPUTER VISION GRAPHICS AND IMAGE PROCESSING
影响因子：
--
作者：
BAJCSY, R;KOVACIC, S
通讯作者：
KOVACIC, S
DOI：
10.1016/0010-4809(77)90017-9
发表时间：
1977-01-01
期刊：
COMPUTERS AND BIOMEDICAL RESEARCH
影响因子：
--
作者：
CAPOWSKI, JJ
通讯作者：
CAPOWSKI, JJ
影响因子：
10.5
作者：
Wenzel, Pamela L.;Wu, Lizhao;Leone, Gustavo
通讯作者：
Leone, Gustavo
影响因子：
2.5
作者：
Brandt, R;Rohlfing, T;Menzel, R
通讯作者：
Menzel, R
DOI：
10.1109/34.24792
发表时间：
1989-06-01
影响因子：
23.6
作者：
BOOKSTEIN, FL
通讯作者：
BOOKSTEIN, FL