{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,8,30]],"date-time":"2023-08-30T13:15:24Z","timestamp":1693401324901},"reference-count":25,"publisher":"Wiley","issue":"4","license":[{"start":{"date-parts":[[2021,2,19]],"date-time":"2021-02-19T00:00:00Z","timestamp":1613692800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61671242"],"award-info":[{"award-number":["61671242"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61671242"],"award-info":[{"award-number":["61671242"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["aapm.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Medical Physics"],"published-print":{"date-parts":[[2021,4]]},"abstract":"<jats:sec><jats:title>Purpose<\/jats:title><jats:p>The spectral\u2010domain optical coherence tomography (SD\u2010OCT) images and OCT angiography (OCTA) images can provide complementary information for choroidal neovascularization (CNV) visualization. We expected to simultaneously display multifaceted characteristics of CNV in a single projection image.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>We proposed a fusion method for CNV visualization by combining structural and angiographic images, which mainly involves four steps: (a) Generate SD\u2010OCT and OCTA projection images from original volumetric data with retinal layer restriction. (b) For SD\u2010OCT projection images, enhance retinal vessels and CNV. (c) For OCTA images, detect CNV region based on multimodal data and display the neovascularization in false color. (d) A maximum fusion strategy was adopted to generate the fused images.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Experimental results with 30 cases from 30 patients demonstrate that the fused images are more effective in displaying CNV than single\u2010modality projection images. The average information entropy and the mean gradient in the CNV regions for SD\u2010OCT projection images, OCTA images, and the fusion images are 4.66\/0.21, 5.45\/0.45, and 6.8\/0.58, respectively.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>The proposed method is more effective for CNV visualization than the conventional single\u2010modality image\u2010based method. The proposed method can combine complementary information from multimodal images and provide a satisfying visual effect.<\/jats:p><\/jats:sec>","DOI":"10.1002\/mp.14737","type":"journal-article","created":{"date-parts":[[2021,1,27]],"date-time":"2021-01-27T12:54:57Z","timestamp":1611752097000},"page":"1731-1738","update-policy":"http:\/\/dx.doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Choroidal neovascularization fusion visualization for spectral\u2010domain optical coherence tomography and optical coherence tomography angiography images"],"prefix":"10.1002","volume":"48","author":[{"given":"Chen","family":"Huang","sequence":"first","affiliation":[{"name":"School of Computer Science and Engineering Nanjing University of Science and Technology Nanjing 210094 China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Keren","family":"Xie","sequence":"additional","affiliation":[{"name":"Department of Ophthalmology The First Affiliated Hospital with Nanjing Medical University Nanjing 210029 China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuhan","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering Nanjing University of Science and Technology Nanjing 210094 China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mingchao","family":"Li","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering Nanjing University of Science and Technology Nanjing 210094 China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Songtao","family":"Yuan","sequence":"additional","affiliation":[{"name":"Department of Ophthalmology The First Affiliated Hospital with Nanjing Medical University Nanjing 210029 China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qiang","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering Nanjing University of Science and Technology Nanjing 210094 China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2021,2,19]]},"reference":[{"key":"e_1_2_8_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ophtha.2017.05.035"},{"key":"e_1_2_8_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/0039-6257(88)90052-5"},{"key":"e_1_2_8_4_1","doi-asserted-by":"publisher","DOI":"10.1167\/iovs.16-20977"},{"key":"e_1_2_8_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ophtha.2014.01.034"},{"key":"e_1_2_8_6_1","doi-asserted-by":"publisher","DOI":"10.1364\/OPEX.12.000367"},{"key":"e_1_2_8_7_1","doi-asserted-by":"publisher","DOI":"10.1364\/OL.40.002305"},{"key":"e_1_2_8_8_1","doi-asserted-by":"publisher","DOI":"10.1097\/IAE.0000000000001324"},{"key":"e_1_2_8_9_1","doi-asserted-by":"publisher","DOI":"10.1364\/OE.20.004710"},{"key":"e_1_2_8_10_1","doi-asserted-by":"publisher","DOI":"10.1364\/BOE.4.001909"},{"key":"e_1_2_8_11_1","doi-asserted-by":"publisher","DOI":"10.1364\/BOE.6.004130"},{"key":"e_1_2_8_12_1","doi-asserted-by":"publisher","DOI":"10.1364\/BOE.9.001020"},{"key":"e_1_2_8_13_1","doi-asserted-by":"publisher","DOI":"10.1364\/BOE.8.001536"},{"key":"e_1_2_8_14_1","doi-asserted-by":"publisher","DOI":"10.1364\/BOE.7.000816"},{"key":"e_1_2_8_15_1","doi-asserted-by":"crossref","unstructured":"ZhangYH HuangC LiMC et al.Robust layer segmentation against complex retinal abnormalities for en face OCTA generation. 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