Optical coherence tomography (OCT) is a non-invasive, micrometer-scale
imaging modality that has become a clinical standard in ophthalmology. By
raster-scanning the retina, sequential cross-sectional image slices are
acquired to generate volumetric data. In-vivo imaging suffers from
discontinuities between slices that show up as motion and illumination
artifacts. We present a new illumination model that exploits continuity in
orthogonally raster-scanned volume data. Our novel spatiotemporal
parametrization adheres to illumination continuity both temporally, along the
imaged slices, as well as spatially, in the transverse directions. Yet, our
formulation does not make inter-slice assumptions, which could have
discontinuities. This is the first optimization of a 3D inverse model in an
image reconstruction context in OCT. Evaluation in 68 volumes from eyes with
pathology showed reduction of illumination artifacts in 88\% of the data, and
only 6\% showed moderate residual illumination artifacts. The method enables
the use of forward-warped motion corrected data, which is more accurate, and
enables supersampling and advanced 3D image reconstruction in OCT.

光相干断层扫描（OCT）是一种非侵入性的显微成像模式，已在眼科临床中成为标准。我们提出了一个新的照明模型，利用正交扫描体数据的连续性来减少照明伪影，优化了 OCT 图像重建中的三维逆模型。此方法在眼科病理数据的评估中显示在 88% 的数据中减少了照明伪影，并且只有 6% 的数据中存在轻微残余的照明伪影。该方法使得前向运动校正数据的使用更准确，并且在 OCT 中实现了超采样和高级三维图像重建。