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Multiple enface image averaging for enhanced optical coherence tomography angiography imaging

Authors :
Srinivas R. Sadda
Mayss Al-Sheikh
Elmira Baghdasaryan
Siva Balasubramanian
Enrico Borrelli
Jianqin Lei
Akihito Uji
Source :
Acta Ophthalmologica. 96:e820-e827
Publication Year :
2018
Publisher :
Wiley, 2018.

Abstract

Purpose To investigate the effect of multiple enface image averaging on image quality of the optical coherence tomography angiography (OCTA). Methods Twenty-one normal volunteers were enrolled in this study. For each subject, one eye was imaged with 3 × 3 mm scan protocol, and another eye was imaged with the 6 × 6 mm scan protocol centred on the fovea using the ZEISS Angioplex™ spectral-domain OCTA device. Eyes were repeatedly imaged to obtain nine OCTA cube scan sets, and nine superficial capillary plexus (SCP) and deep capillary plexus (DCP) were individually averaged after registration. Results Eighteen eyes with a 3 × 3 mm scan field and 14 eyes with a 6 × 6 mm scan field were studied. Averaged images showed more continuous vessels and less background noise in both the SCP and the DCP as the number of frames used for averaging increased, with both 3 × 3 and 6 × 6 mm scan protocols. The intensity histogram of the vessels dramatically changed after averaging. Contrast-to-noise ratio (CNR) and subjectively assessed image quality scores also increased as the number of frames used for averaging increased in all image types. However, the additional benefit in quality diminished when averaging more than five frames. Averaging only three frames achieved significant improvement in CNR and the score assigned by certified grades. Conclusion Use of multiple image averaging in OCTA enface images was found to be both objectively and subjectively effective for enhancing image quality. These findings may of value for developing optimal OCTA imaging protocols for future studies.

Details

ISSN :
1755375X
Volume :
96
Database :
OpenAIRE
Journal :
Acta Ophthalmologica
Accession number :
edsair.doi.dedup.....696409d64edb7e4718367d2cf1282630