Lens opacity detection for serious posterior subcapsular cataract.
Cataract leads to visual impairment. Among different types of cataract, posterior subcapsular cataract (PSC) can develop rapidly and surgery is usually needed. An approach to detect PSC opacities in retro-illumination images is proposed. Watershed and Markov random fields (MRF) method are employed t...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 55; no. 5; pp. 769 - 780 |
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| Autores principales: | , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
May2017
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=123106932&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 123106932 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: May2017 vid: 55 iid: 5 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 123106932 123106932 144138985 NLM27491802 10.1007/s11517-016-1554-1 NLM27491802 123106932 ppf: 769 ppct: 11 formats: fmt: @attributes: type: P tig: atl: Lens opacity detection for serious posterior subcapsular cataract. aug: au: Zhang, Wanjun Li, Huiqi affil: School of Information and Electronics , Beijing Institute of Technology , Beijing 100081 China sug: subj: Cataract Diagnosis Cataract Pathology Eye Pathology Eye Sensitivity and Specificity ab: Cataract leads to visual impairment. Among different types of cataract, posterior subcapsular cataract (PSC) can develop rapidly and surgery is usually needed. An approach to detect PSC opacities in retro-illumination images is proposed. Watershed and Markov random fields (MRF) method are employed to opacities in anterior retro-illumination images. It results in a mixture of PSC, cortical opacities and noise. Then, information in both anterior and posterior retro-illumination images is utilized. Two features are extracted to identify PSC: mean gradient comparison (MGC) between anterior and posterior retro-illumination images, and spatial location. This is the first time that comparison between anterior and posterior retro-illumination images is proposed and MGC is proposed as the feature of comparison in PSC detection. Experiments show that the sensitivity and specificity of PSC screening is 91.2 and 90.1 %, respectively, based on the 519 pairs of testing images. To the best of our knowledge, it is the best performance reported in automatic detection of PSC. Compared with the methods in the literatures, considerable improvement is achieved when there are large areas of PSC opacities. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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