Accurately motion-corrected Lissajous OCT with multi-type image registration.
Shuichi MakitaMasahiro MiuraShinnosuke AzumaToshihiro MinoTatsuo YamaguchiYoshiaki YasunoPublished in: Biomedical optics express (2020)
Passive motion correction methods for optical coherence tomography (OCT) use image registration to estimate eye movements. To improve motion correction, a multi-image cross-correlation that employs spatial features in different image types is introduced. Lateral motion correction using en face OCT and OCT-A projections on Lissajous-scanned OCT data is applied. Motion correction using OCT-A projection of whole depth and OCT amplitude, OCT logarithmic intensity, and OCT maximum intensity projections were evaluated in retinal imaging with 76 patients. The proposed method was compared with motion correction using OCT-A projection of whole depth. The comparison shows improvements in the image quality of motion-corrected superficial OCT-A images and image registration.
Keyphrases
- optical coherence tomography
- diabetic retinopathy
- optic nerve
- deep learning
- high speed
- image quality
- end stage renal disease
- chronic kidney disease
- high resolution
- newly diagnosed
- electronic health record
- magnetic resonance imaging
- computed tomography
- machine learning
- minimally invasive
- mass spectrometry
- functional connectivity