Research on the Segmentation of Biomarker for Chronic Central Serous Chorioretinopathy Based on Multimodal Fundus Image.

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  • Additional Information
    • Source:
      Publisher: Hindawi Pub. Corp Country of Publication: United States NLM ID: 8604127 Publication Model: eCollection Cited Medium: Internet ISSN: 1875-8630 (Electronic) Linking ISSN: 02780240 NLM ISO Abbreviation: Dis Markers Subsets: MEDLINE
    • Publication Information:
      Publication: 2015- : New York, NY : Hindawi Pub. Corp.
      Original Publication: Chichester ; New York : Wiley, c1983-
    • Subject Terms:
      Fundus Oculi* ; Visual Acuity*; Biomarkers/*analysis ; Central Serous Chorioretinopathy/*pathology ; Image Processing, Computer-Assisted/*methods ; Multimodal Imaging/*methods ; Tomography, Optical Coherence/*methods; Central Serous Chorioretinopathy/diagnostic imaging ; Chronic Disease ; Humans
    • Abstract:
      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.
      Competing Interests: The authors declare that they have no conflict of interests regarding this paper.
      (Copyright © 2021 Jianguo Xu et al.)
    • References:
      Sci Rep. 2015 Jun 01;5:10425. (PMID: 26030010)
      Annu Int Conf IEEE Eng Med Biol Soc. 2007;2007:6740-43. (PMID: 18003574)
      IEEE Trans Image Process. 2013 Dec;22(12):4996-5009. (PMID: 24043387)
      Am J Ophthalmol. 2010 Mar;149(3):361-363. (PMID: 20172062)
      IEEE Trans Med Imaging. 2020 Jun;39(6):2121-2132. (PMID: 31940523)
      IEEE Trans Med Imaging. 2017 Jan;36(1):51-63. (PMID: 27455519)
      Comput Biomed Res. 1998 Oct;31(5):374-84. (PMID: 9790742)
      Eye (Lond). 2010 Dec;24(12):1743-56. (PMID: 20930852)
      Am J Ophthalmol. 2014 Oct;158(4):752-756.e2. (PMID: 24973608)
      Eye (Lond). 1995;9 ( Pt 1):70-6. (PMID: 7536168)
      IEEE Trans Med Imaging. 2019 Jun;38(6):1501-1512. (PMID: 30530359)
      Transl Oncol. 2021 Jan;14(1):100907. (PMID: 33217646)
      Med Image Anal. 2017 May;38:30-49. (PMID: 28279915)
      Prog Retin Eye Res. 2015 Sep;48:82-118. (PMID: 26026923)
      Dis Markers. 2019 Jan 30;2019:9056402. (PMID: 30838085)
      Retina. 2017 Oct;37(10):1905-1915. (PMID: 28067724)
      Invest Ophthalmol Vis Sci. 2015 Jan 29;56(3):1482-92. (PMID: 25634978)
      IEEE Trans Image Process. 2004 Sep;13(9):1200-12. (PMID: 15449582)
      Clin Neurophysiol. 2021 May;132(5):1041-1048. (PMID: 33743299)
      Acta Ophthalmol. 2008 Mar;86(2):126-45. (PMID: 17662099)
      Dis Markers. 2006;22(4):245-55. (PMID: 17124346)
    • Accession Number:
      0 (Biomarkers)
    • Publication Date:
      Date Created: 20210916 Date Completed: 20220124 Latest Revision: 20220124
    • Publication Date:
      20221213
    • Accession Number:
      PMC8437641
    • Accession Number:
      10.1155/2021/1040675
    • Accession Number:
      34527086