3-D OCT Motion Correction Efficiently Enhanced with OCT Angiography

Beitrag bei einer Tagung
(Abstract zum Vortrag)


Details zur Publikation

Autorinnen und Autoren: Ploner S, Kraus MF, Husvogt L, Moult EM, Alibhai AY, Schottenhamml J, Geimer T, Rebhun CB, Lee B, Baumal CR, Waheed NK, Duker JS, Fujimoto JG, Maier A
Jahr der Veröffentlichung: 2018
Tagungsband: Investigative Ophthalmology & Visual Science
Seitenbereich: 3922
ISSN: 1552-5783
Sprache: Englisch


Abstract

Purpose : Ophthalmic optical coherence tomography (OCT) and OCT angiography (OCTA) suffer from motion artifacts caused by involuntary eye motion during the sequential OCT scanning process. Motion correction (MoCo) can achieve more accurate and reproducible disease metrics. We extend an existing MoCo approach by incorporating OCTA data and perform a quantitative evaluation to assess its reliability and accuracy.

Methods : An existing 3-D OCT MoCo algorithm that closely models the scanning process of a volume pair scan with orthogonal fast-scan directions is extended to not only use the structural, but also the angiographic OCT signal to guide the co-registration of both scans. Operating on the entire OCTA volume increases runtime significantly. Instead, a vessel contrast preserving en-face projection is used which is computed in a fast way without time-consuming layer segmentations.
The method was evaluated on 18 eyes (10 healthy, 8 with various pathologies) from different subjects at both 3x3 mm and 6x6 mm field sizes. In each case, 3 repeated scan-pairs were acquired to assess reproducibility, adding up to 230 OCT volumes.

Results : Figure 1 compares evaluation results for the OCT only registration and our combined approach. The proposed method improves both registration and reproducibility performance. The representative en-face images in Figure 2 visualize differences in the registered volumes.

Conclusions : A novel approach of fully 3-D OCT MoCo using a combination of OCT and OCTA data was introduced. The method showed an improvement over a registration using only OCT data with respect to transverse registration accuracy and success rate at a low additional computational cost.


FAU-Autorinnen und Autoren / FAU-Herausgeberinnen und Herausgeber

Geimer, Tobias
Lehrstuhl für Informatik 5 (Mustererkennung)
Husvogt, Lennart
Lehrstuhl für Informatik 5 (Mustererkennung)
Maier, Andreas Prof. Dr.-Ing.
Lehrstuhl für Informatik 5 (Mustererkennung)
Ploner, Stefan
Lehrstuhl für Informatik 5 (Mustererkennung)
Schottenhamml, Julia
Lehrstuhl für Informatik 5 (Mustererkennung)


Einrichtungen weiterer Autorinnen und Autoren

Massachusetts Institute of Technology (MIT)
Tufts Medical Center
Tufts University


Zitierweisen

APA:
Ploner, S., Kraus, M.F., Husvogt, L., Moult, E.M., Alibhai, A.Y., Schottenhamml, J.,... Maier, A. (2018, July). 3-D OCT Motion Correction Efficiently Enhanced with OCT Angiography. Paper presentation at ARVO Annual Meeting 2018, Honolulu, HI, US.

MLA:
Ploner, Stefan, et al. "3-D OCT Motion Correction Efficiently Enhanced with OCT Angiography." Presented at ARVO Annual Meeting 2018, Honolulu, HI 2018.

BibTeX: 

Zuletzt aktualisiert 2019-15-08 um 08:38