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Dr.-Ing. Jan Paulus

Alumnus of the Pattern Recognition Lab of the Friedrich-Alexander-Universität Erlangen-Nürnberg

Improving visual perception

Automated Quality Assessment of Retinal Fundus Photos

Fundus photos of the eye background are used by medical experts to diagnose and document diseases like glaucoma or diabetic retinopathy. In addition the images are commonly further evaluated by automatic software tools to support the diagnosis (see Rüdiger Bock's webpage for more details). Suffcient image quality is essential to ensure a reliable diagnosis and a valid automated processing. Therefore, the goal was the developement of an automated, objective and fast measurement of the image quality of single retinal fundus photos to allow stable and reliable medical evaluation and further processing.

The technique developed in this project maps quality criteria inspired by diagnosis procedures based on the advise of an eye expert to quantitative and objective features related to image quality. Independent from segmentation methods it combines global clustering with local sharpness and texture features for classification. The clustering describes the recognizability, dissimilarity and contrast of relevant structures. The sharpness metric evaluates the separation between components. The texture features measure common image sharpness, homogeneity and generic contrast.

On a test dataset of 301 retinal fundus images the method was evaluated on a given gold standard by human observers and compared to a state of the art approach. An area under the ROC curve of 95.3% compared to 87.2% for correctly identifying bad quality images outperformed the state of the art approach. A significant p-value of 0.019 emphasizes the statistical difference of both approaches.

AQuAFo (GUI for Automated Quality Assessment of Retinal Fundus Photos) provides a Graphical User Interface (GUI) implementation of this algorithm for free usage and is available Opens internal link in current windowhere.

2010 (1 Publications, Talks and Patents)

Journal Articles

Paulus, JanMeier, JörgBock, RüdigerHornegger, Joachim; Michelson, Georg

Automated Quality Assessment of Retinal Fundus Photos

In: International Journal of Computer Assisted Radiology and Surgery 5 (2010) No. 6 pp. 557-564

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2009 (3 Publications, Talks and Patents)


Paulus, JanBock, RüdigerMeier, JörgMichelson, GeorgHornegger, Joachim

Automatische Qualitätsmessung von Retina-Fundusbildern

In: Meinzer, Hans-Peter; Deserno, Thomas Martin; Handels, Heinz; Tolxdorff, Thomas (Eds.)

Bildverarbeitung für die Medizin 2009 - Algorithmen, Systeme, Anwendungen (Bildverarbeitung für die Medizin 2009 - Algorithmen, Systeme, Anwendungen Heidelberg 22. - 25. 3. 2009) 2009, pp. 237-241 - ISBN 978-3-540-93859-0

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Paulus, Jan

Automatische Qualiätsmessung von Retina-Fundusbildern

at Kommunikationszentrum des Deutschen Krebsforschungszentrums (Konferenz) in Heidelberg (25.03) (BiBTeXWho cited this?)

Paulus, Jan

Automated Quality Measurement of Retinal Fundus Photos

at Massachusetts Institute of Technology (MIT) (Project meeting) in Cambridge, MA, USA (15.09) (BiBTeXWho cited this?)