A new quality assessment parameter for optical coherence tomography
Aim: To create a new, automated method of evaluating the quality of optical coherence tomography (OCT) images and to compare its image quality discriminating ability with the quality assessment parameters signal to noise ratio (SNR) and signal strength (SS). Methods: A new OCT image quality assessme...
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| Veröffentlicht in: | British journal of ophthalmology 2006-02, Vol.90 (2), p.186-190 |
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| creator | Stein, D M Ishikawa, H Hariprasad, R Wollstein, G Noecker, R J Fujimoto, J G Schuman, J S |
| description | Aim: To create a new, automated method of evaluating the quality of optical coherence tomography (OCT) images and to compare its image quality discriminating ability with the quality assessment parameters signal to noise ratio (SNR) and signal strength (SS). Methods: A new OCT image quality assessment parameter, quality index (QI), was created. OCT images (linear macular scan, peripapillary circular scan, and optic nerve head scan) were analysed using the latest StratusOCT system. SNR and SS were collected for each image. QI was calculated based on image histogram information using a software program of our own design. To evaluate the performance of these parameters, the results were compared with subjective three level grading (excellent, acceptable, and poor) performed by three OCT experts. Results: 63 images of 21 subjects (seven each for normal, early/moderate, and advanced glaucoma) were enrolled in this study. Subjects were selected in a consecutive and retrospective fashion from our OCT imaging database. There were significant differences in SNR, SS, and QI between excellent and poor images (p = 0.04, p = 0.002, and p |
| doi_str_mv | 10.1136/bjo.2004.059824 |
| format | Article |
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Methods: A new OCT image quality assessment parameter, quality index (QI), was created. OCT images (linear macular scan, peripapillary circular scan, and optic nerve head scan) were analysed using the latest StratusOCT system. SNR and SS were collected for each image. QI was calculated based on image histogram information using a software program of our own design. To evaluate the performance of these parameters, the results were compared with subjective three level grading (excellent, acceptable, and poor) performed by three OCT experts. Results: 63 images of 21 subjects (seven each for normal, early/moderate, and advanced glaucoma) were enrolled in this study. Subjects were selected in a consecutive and retrospective fashion from our OCT imaging database. There were significant differences in SNR, SS, and QI between excellent and poor images (p = 0.04, p = 0.002, and p<0.001, respectively, Wilcoxon test) and between acceptable and poor images (p = 0.02, p<0.001, and p<0.001, respectively). Only QI showed significant difference between excellent and acceptable images (p = 0.001). Areas under the receiver operating characteristics (ROC) curve for discrimination of poor from excellent/acceptable images were 0.68 (SNR), 0.89 (IQP), and 0.99 (QI). Conclusion: A quality index such as QI may permit automated objective and quantitative assessment of OCT image quality that performs similarly to an expert human observer.</description><identifier>ISSN: 0007-1161</identifier><identifier>EISSN: 1468-2079</identifier><identifier>DOI: 10.1136/bjo.2004.059824</identifier><identifier>PMID: 16424531</identifier><identifier>CODEN: BJOPAL</identifier><language>eng</language><publisher>BMA House, Tavistock Square, London, WC1H 9JR: BMJ Publishing Group Ltd</publisher><subject>Aged ; areas under the ROC curve ; AROC ; Automation ; Biological and medical sciences ; Clinical Science - Extended Report ; Experts ; GHT ; Glaucoma ; Glaucoma - pathology ; glaucoma hemifield test ; Humans ; Humphrey visual field ; HVF ; Image Processing, Computer-Assisted - methods ; Image Processing, Computer-Assisted - standards ; Macula Lutea - pathology ; Medical imaging ; Medical sciences ; Middle Aged ; Miscellaneous ; Nerve Fibers - pathology ; nerve fibre layer ; NFL ; Noise ; OCT ; ONH ; Ophthalmology ; Optic Disk - pathology ; Optic nerve ; optic nerve head ; optical coherence tomography ; Optics ; Quality ; quality index ; receiver operating characteristics ; retinal nerve fibre layer ; Retrospective Studies ; RNFL ; ROC ; ROC Curve ; signal strength ; signal to noise ratio ; SNR ; Software ; tissue signal ratio ; Tomography, Optical Coherence - standards ; TSR ; visual acuity</subject><ispartof>British journal of ophthalmology, 2006-02, Vol.90 (2), p.186-190</ispartof><rights>Copyright 2006 British Journal of Ophthalmology</rights><rights>2006 INIST-CNRS</rights><rights>Copyright: 2006 Copyright 2006 British Journal of Ophthalmology</rights><rights>Copyright © 2006 BMJ Publishing Group</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-b522t-b2860b32be277d329532fbe9104949e5ed2db25b58d9208587512908e62598193</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttp://bjo.bmj.com/content/90/2/186.full.pdf$$EPDF$$P50$$Gbmj$$H</linktopdf><linktohtml>$$Uhttp://bjo.bmj.com/content/90/2/186.full$$EHTML$$P50$$Gbmj$$H</linktohtml><link.rule.ids>114,115,230,314,723,776,780,881,3183,23550,27901,27902,53766,53768,77342,77373</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=17434312$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/16424531$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Stein, D M</creatorcontrib><creatorcontrib>Ishikawa, H</creatorcontrib><creatorcontrib>Hariprasad, R</creatorcontrib><creatorcontrib>Wollstein, G</creatorcontrib><creatorcontrib>Noecker, R J</creatorcontrib><creatorcontrib>Fujimoto, J G</creatorcontrib><creatorcontrib>Schuman, J S</creatorcontrib><title>A new quality assessment parameter for optical coherence tomography</title><title>British journal of ophthalmology</title><addtitle>Br J Ophthalmol</addtitle><description>Aim: To create a new, automated method of evaluating the quality of optical coherence tomography (OCT) images and to compare its image quality discriminating ability with the quality assessment parameters signal to noise ratio (SNR) and signal strength (SS). Methods: A new OCT image quality assessment parameter, quality index (QI), was created. OCT images (linear macular scan, peripapillary circular scan, and optic nerve head scan) were analysed using the latest StratusOCT system. SNR and SS were collected for each image. QI was calculated based on image histogram information using a software program of our own design. To evaluate the performance of these parameters, the results were compared with subjective three level grading (excellent, acceptable, and poor) performed by three OCT experts. Results: 63 images of 21 subjects (seven each for normal, early/moderate, and advanced glaucoma) were enrolled in this study. Subjects were selected in a consecutive and retrospective fashion from our OCT imaging database. There were significant differences in SNR, SS, and QI between excellent and poor images (p = 0.04, p = 0.002, and p<0.001, respectively, Wilcoxon test) and between acceptable and poor images (p = 0.02, p<0.001, and p<0.001, respectively). Only QI showed significant difference between excellent and acceptable images (p = 0.001). Areas under the receiver operating characteristics (ROC) curve for discrimination of poor from excellent/acceptable images were 0.68 (SNR), 0.89 (IQP), and 0.99 (QI). Conclusion: A quality index such as QI may permit automated objective and quantitative assessment of OCT image quality that performs similarly to an expert human observer.</description><subject>Aged</subject><subject>areas under the ROC curve</subject><subject>AROC</subject><subject>Automation</subject><subject>Biological and medical sciences</subject><subject>Clinical Science - Extended Report</subject><subject>Experts</subject><subject>GHT</subject><subject>Glaucoma</subject><subject>Glaucoma - pathology</subject><subject>glaucoma hemifield test</subject><subject>Humans</subject><subject>Humphrey visual field</subject><subject>HVF</subject><subject>Image Processing, Computer-Assisted - methods</subject><subject>Image Processing, Computer-Assisted - standards</subject><subject>Macula Lutea - pathology</subject><subject>Medical imaging</subject><subject>Medical sciences</subject><subject>Middle Aged</subject><subject>Miscellaneous</subject><subject>Nerve Fibers - pathology</subject><subject>nerve fibre layer</subject><subject>NFL</subject><subject>Noise</subject><subject>OCT</subject><subject>ONH</subject><subject>Ophthalmology</subject><subject>Optic Disk - pathology</subject><subject>Optic nerve</subject><subject>optic nerve head</subject><subject>optical coherence tomography</subject><subject>Optics</subject><subject>Quality</subject><subject>quality index</subject><subject>receiver operating characteristics</subject><subject>retinal nerve fibre layer</subject><subject>Retrospective Studies</subject><subject>RNFL</subject><subject>ROC</subject><subject>ROC Curve</subject><subject>signal strength</subject><subject>signal to noise ratio</subject><subject>SNR</subject><subject>Software</subject><subject>tissue signal ratio</subject><subject>Tomography, Optical Coherence - standards</subject><subject>TSR</subject><subject>visual acuity</subject><issn>0007-1161</issn><issn>1468-2079</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2006</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNqFkc1v1DAQxS0EokvhzA1FQnBAytbjjzi-IJUVBaQCl9KrZSeTbpYkTu0E2P8er7JqgQsny5qfn9-bR8hzoGsAXpy5nV8zSsWaSl0y8YCsQBRlzqjSD8mKUqpygAJOyJMYd-nKClCPyQkUggnJYUU259mAP7Pb2XbttM9sjBhjj8OUjTbYHicMWeND5seprWyXVX6LAYcKs8n3_ibYcbt_Sh41tov47Hiekm8X7682H_PLrx8-bc4vcycZm3LHyoI6zhwypWrOtOSscaiBCi00SqxZ7Zh0sqw1o6UslQSmaYkFS-FA81PydtEdZ9djXSWXwXZmDG1vw95425q_J0O7NTf-h4H0MSiZBF4fBYK_nTFOpm9jhV1nB_RzNIoWSiUvCXz5D7jzcxhSOANKlRpkwhJ1tlBV8DEGbO6sADWHekyqxxzqMUs96cWLPxPc88c-EvDqCNiY1t0EO1RtvOeU4IIDS1y-cG2c8Nfd3IbvplBcSfPlemPUO_h8dXFdmkOgNwvv-t1_Xf4Gwsyzcw</recordid><startdate>20060201</startdate><enddate>20060201</enddate><creator>Stein, D M</creator><creator>Ishikawa, H</creator><creator>Hariprasad, R</creator><creator>Wollstein, G</creator><creator>Noecker, R J</creator><creator>Fujimoto, J G</creator><creator>Schuman, J S</creator><general>BMJ Publishing Group Ltd</general><general>BMJ</general><general>BMJ Publishing Group LTD</general><general>BMJ Group</general><scope>BSCLL</scope><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>BTHHO</scope><scope>CCPQU</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20060201</creationdate><title>A new quality assessment parameter for optical coherence tomography</title><author>Stein, D M ; Ishikawa, H ; Hariprasad, R ; Wollstein, G ; Noecker, R J ; Fujimoto, J G ; Schuman, J S</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b522t-b2860b32be277d329532fbe9104949e5ed2db25b58d9208587512908e62598193</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2006</creationdate><topic>Aged</topic><topic>areas under the ROC curve</topic><topic>AROC</topic><topic>Automation</topic><topic>Biological and medical sciences</topic><topic>Clinical Science - Extended Report</topic><topic>Experts</topic><topic>GHT</topic><topic>Glaucoma</topic><topic>Glaucoma - pathology</topic><topic>glaucoma hemifield test</topic><topic>Humans</topic><topic>Humphrey visual field</topic><topic>HVF</topic><topic>Image Processing, Computer-Assisted - methods</topic><topic>Image Processing, Computer-Assisted - standards</topic><topic>Macula Lutea - pathology</topic><topic>Medical imaging</topic><topic>Medical sciences</topic><topic>Middle Aged</topic><topic>Miscellaneous</topic><topic>Nerve Fibers - pathology</topic><topic>nerve fibre layer</topic><topic>NFL</topic><topic>Noise</topic><topic>OCT</topic><topic>ONH</topic><topic>Ophthalmology</topic><topic>Optic Disk - pathology</topic><topic>Optic nerve</topic><topic>optic nerve head</topic><topic>optical coherence tomography</topic><topic>Optics</topic><topic>Quality</topic><topic>quality index</topic><topic>receiver operating characteristics</topic><topic>retinal nerve fibre layer</topic><topic>Retrospective Studies</topic><topic>RNFL</topic><topic>ROC</topic><topic>ROC Curve</topic><topic>signal strength</topic><topic>signal to noise ratio</topic><topic>SNR</topic><topic>Software</topic><topic>tissue signal ratio</topic><topic>Tomography, Optical Coherence - standards</topic><topic>TSR</topic><topic>visual acuity</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Stein, D M</creatorcontrib><creatorcontrib>Ishikawa, H</creatorcontrib><creatorcontrib>Hariprasad, R</creatorcontrib><creatorcontrib>Wollstein, G</creatorcontrib><creatorcontrib>Noecker, R J</creatorcontrib><creatorcontrib>Fujimoto, J G</creatorcontrib><creatorcontrib>Schuman, J S</creatorcontrib><collection>Istex</collection><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>BMJ Journals</collection><collection>ProQuest One Community College</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>British journal of ophthalmology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Stein, D M</au><au>Ishikawa, H</au><au>Hariprasad, R</au><au>Wollstein, G</au><au>Noecker, R J</au><au>Fujimoto, J G</au><au>Schuman, J S</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A new quality assessment parameter for optical coherence tomography</atitle><jtitle>British journal of ophthalmology</jtitle><addtitle>Br J Ophthalmol</addtitle><date>2006-02-01</date><risdate>2006</risdate><volume>90</volume><issue>2</issue><spage>186</spage><epage>190</epage><pages>186-190</pages><issn>0007-1161</issn><eissn>1468-2079</eissn><coden>BJOPAL</coden><abstract>Aim: To create a new, automated method of evaluating the quality of optical coherence tomography (OCT) images and to compare its image quality discriminating ability with the quality assessment parameters signal to noise ratio (SNR) and signal strength (SS). Methods: A new OCT image quality assessment parameter, quality index (QI), was created. OCT images (linear macular scan, peripapillary circular scan, and optic nerve head scan) were analysed using the latest StratusOCT system. SNR and SS were collected for each image. QI was calculated based on image histogram information using a software program of our own design. To evaluate the performance of these parameters, the results were compared with subjective three level grading (excellent, acceptable, and poor) performed by three OCT experts. Results: 63 images of 21 subjects (seven each for normal, early/moderate, and advanced glaucoma) were enrolled in this study. Subjects were selected in a consecutive and retrospective fashion from our OCT imaging database. There were significant differences in SNR, SS, and QI between excellent and poor images (p = 0.04, p = 0.002, and p<0.001, respectively, Wilcoxon test) and between acceptable and poor images (p = 0.02, p<0.001, and p<0.001, respectively). Only QI showed significant difference between excellent and acceptable images (p = 0.001). Areas under the receiver operating characteristics (ROC) curve for discrimination of poor from excellent/acceptable images were 0.68 (SNR), 0.89 (IQP), and 0.99 (QI). Conclusion: A quality index such as QI may permit automated objective and quantitative assessment of OCT image quality that performs similarly to an expert human observer.</abstract><cop>BMA House, Tavistock Square, London, WC1H 9JR</cop><pub>BMJ Publishing Group Ltd</pub><pmid>16424531</pmid><doi>10.1136/bjo.2004.059824</doi><tpages>5</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | Aged areas under the ROC curve AROC Automation Biological and medical sciences Clinical Science - Extended Report Experts GHT Glaucoma Glaucoma - pathology glaucoma hemifield test Humans Humphrey visual field HVF Image Processing, Computer-Assisted - methods Image Processing, Computer-Assisted - standards Macula Lutea - pathology Medical imaging Medical sciences Middle Aged Miscellaneous Nerve Fibers - pathology nerve fibre layer NFL Noise OCT ONH Ophthalmology Optic Disk - pathology Optic nerve optic nerve head optical coherence tomography Optics Quality quality index receiver operating characteristics retinal nerve fibre layer Retrospective Studies RNFL ROC ROC Curve signal strength signal to noise ratio SNR Software tissue signal ratio Tomography, Optical Coherence - standards TSR visual acuity |
| title | A new quality assessment parameter for optical coherence tomography |
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