Automated Corneal Nerve Segmentation Using Weighted Local Phase Tensor

Zhao, Kun1,2; Zhang, Hui1; Zhao, Yitian2,3; Xie, Jianyang2; Zheng, Yalin3,4; Borroni, David4,6; Qi, Hong5; Liu, Jiang2,7

10.1007/978-3-030-39343-4_39

2020

18650937

23rd Conference on Medical Image Understanding and Analysis, MIUA 2019

1065 CCIS

459-469

Liverpool, United kingdom

Springer

There has been increasing interest in the analysis of corneal nerve fibers to support examination and diagnosis of many diseases, and for this purpose, automated nerve fiber segmentation is a fundamental step. Existing methods of automated corneal nerve fiber detection continue to pose difficulties due to multiple factors, such as poor contrast and fragmented fibers caused by inaccurate focus. To address these problems, in this paper we propose a novel weighted local phase tensor-based curvilinear structure filtering method. This method not only takes into account local phase features using a quadrature filter to enhance edges and lines, but also utilizes the weighted geometric mean of the blurred and shifted responses to allow better tolerance of curvilinear structures with irregular appearances. To demonstrate its effectiveness, we apply this framework to 1578 corneal confocal microscopy images. The experimental results show that the proposed method outperforms existing state-of-the-art methods in applicability, effectiveness, and accuracy.
© 2020, Springer Nature Switzerland AG.

其他

EI

Natural Science Foundation of Ningbo[2018A610055] ; National Natural Science Foundation of China[61601029]

20200708155347

Automation ; Diagnosis ; Fibers ; Image segmentation ; Image understanding ; Medical imaging ; Tensors

Medicine and Pharmacology:461.6 ; Automatic Control Principles and Applications:731 ; Imaging Techniques:746 ; Algebra:921.1

EV Compendex

1.School of Information and Control Engineering, Shenyang Jianzhu University, Shenyang, China
2.Ningbo Institute of Industrial Technology, Chinese Academy of Sciences, Ningbo, China
3.Department of Eye and Vision Science, University of Liverpool, Liverpool, United Kingdom
4.St. Paul’s Eye Unit, Royal Liverpool University Hospital, Liverpool, United Kingdom
5.Department of Ophthalmology, Peking University Third Hospital, Beijing, China
6.Department of Ophthalmology, Riga Stradins University, Riga, Latvia
7.Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, China

Zhao, Kun,Zhang, Hui,Zhao, Yitian,et al. Automated Corneal Nerve Segmentation Using Weighted Local Phase Tensor[C]:Springer,2020:459-469.