光学相干断层扫描中用于三维图像融合的时空照明模型
A Spatiotemporal Illumination Model for 3D Image Fusion in Optical Coherence Tomography
AI总结：
提出一种利用正交光栅扫描连续性的时空照明模型，首次在OCT图像重建中优化三维逆模型，有效减少照明伪影并支持运动校正与超采样。
摘要：
光学相干断层扫描（OCT）是一种非侵入性、微米级成像方式，已成为眼科临床标准。通过光栅扫描视网膜，获取连续的横截面切片以生成体积数据。活体成像中切片间的不连续性会表现为运动和照明伪影。我们提出了一种新的照明模型，利用正交光栅扫描体积数据中的连续性。我们新颖的时空参数化在时间上（沿成像切片）和空间上（在横向）均遵循照明连续性。然而，我们的公式未做切片间假设，因为切片间可能存在不连续性。这是OCT图像重建背景下首次对三维逆模型进行优化。在68个含病理眼球的体积数据评估中，88%的数据照明伪影减少，仅6%显示中度残留照明伪影。该方法支持前向变形运动校正数据（更准确），并实现OCT中的超采样和高级三维图像重建。
英文摘要：
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.
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