PMID- 34527086
OWN - NLM
STAT- MEDLINE
DCOM- 20220124
LR  - 20220124
IS  - 1875-8630 (Electronic)
IS  - 0278-0240 (Print)
IS  - 0278-0240 (Linking)
VI  - 2021
DP  - 2021
TI  - Research on the Segmentation of Biomarker for Chronic Central Serous 
      Chorioretinopathy Based on Multimodal Fundus Image.
PG  - 1040675
LID - 10.1155/2021/1040675 [doi]
LID - 1040675
AB  - At present, laser surgery is one of the effective ways to treat the chronic 
      central serous chorioretinopathy (CSCR), in which the location of the leakage 
      area is of great importance. In order to alleviate the pressure on 
      ophthalmologists to manually label the biomarkers as well as elevate the 
      biomarker segmentation quality, a semiautomatic biomarker segmentation method is 
      proposed in this paper, aiming to facilitate the accurate and rapid acquisition 
      of biomarker location information. Firstly, the multimodal fundus images are 
      introduced into the biomarker segmentation task, which can effectively weaken the 
      interference of highlighted vessels in the angiography images to the location of 
      biomarkers. Secondly, a semiautomatic localization technique is adopted to reduce 
      the search range of biomarkers, thus enabling the improvement of segmentation 
      efficiency. On the basis of the above, the low-rank and sparse decomposition 
      (LRSD) theory is introduced to construct the baseline segmentation scheme for 
      segmentation of the CSCR biomarkers. Moreover, a joint segmentation framework 
      consisting of the above method and region growing (RG) method is further designed 
      to improve the performance of the baseline scheme. On the one hand, the LRSD is 
      applied to offer the initial location information of biomarkers for the RG 
      method, so as to ensure that the RG method can capture effective biomarkers. On 
      the other hand, the biomarkers obtained by RG are fused with those gained by LRSD 
      to make up for the defect of undersegmentation of the baseline scheme. Finally, 
      the quantitative and qualitative ablation experiments have been carried out to 
      demonstrate that the joint segmentation framework performs well than the baseline 
      scheme in most cases, especially in the sensitivity and F1-score indicators, 
      which not only confirms the effectiveness of the framework in the CSCR biomarker 
      segmentation scene but also implies its potential application value in CSCR laser 
      surgery.
CI  - Copyright (c) 2021 Jianguo Xu et al.
FAU - Xu, Jianguo
AU  - Xu J
AD  - College of Mechanical and Electrical Engineering, Nanjing University of 
      Aeronautics and Astronautics, Nanjing 210016, China.
FAU - Shen, Jianxin
AU  - Shen J
AUID- ORCID: 0000-0002-6774-1095
AD  - College of Mechanical and Electrical Engineering, Nanjing University of 
      Aeronautics and Astronautics, Nanjing 210016, China.
FAU - Jiang, Qin
AU  - Jiang Q
AD  - The Affiliated Eye Hospital of Nanjing Medical University, Nanjing 210029, China.
FAU - Wan, Cheng
AU  - Wan C
AD  - College of Electronic and Information Engineering, Nanjing University of 
      Aeronautics and Astronautics, Nanjing 210016, China.
FAU - Yan, Zhipeng
AU  - Yan Z
AD  - The Affiliated Eye Hospital of Nanjing Medical University, Nanjing 210029, China.
FAU - Yang, Weihua
AU  - Yang W
AUID- ORCID: 0000-0002-7629-0193
AD  - The Affiliated Eye Hospital of Nanjing Medical University, Nanjing 210029, China.
LA  - eng
PT  - Journal Article
DEP - 20210903
PL  - United States
TA  - Dis Markers
JT  - Disease markers
JID - 8604127
RN  - 0 (Biomarkers)
SB  - IM
MH  - Biomarkers/*analysis
MH  - Central Serous Chorioretinopathy/diagnostic imaging/*pathology
MH  - Chronic Disease
MH  - *Fundus Oculi
MH  - Humans
MH  - Image Processing, Computer-Assisted/*methods
MH  - Multimodal Imaging/*methods
MH  - Tomography, Optical Coherence/*methods
MH  - *Visual Acuity
PMC - PMC8437641
COIS- The authors declare that they have no conflict of interests regarding this paper.
EDAT- 2021/09/17 06:00
MHDA- 2022/01/27 06:00
PMCR- 2021/09/03
CRDT- 2021/09/16 07:07
PHST- 2021/06/10 00:00 [received]
PHST- 2021/07/20 00:00 [accepted]
PHST- 2021/09/16 07:07 [entrez]
PHST- 2021/09/17 06:00 [pubmed]
PHST- 2022/01/27 06:00 [medline]
PHST- 2021/09/03 00:00 [pmc-release]
AID - 10.1155/2021/1040675 [doi]
PST - epublish
SO  - Dis Markers. 2021 Sep 3;2021:1040675. doi: 10.1155/2021/1040675. eCollection 
      2021.