Optical Coherence Tomography Applications

Neueste Paper

• Predictive Multi-Landmark OCT Tracking for Increased Motion Robustness

  Konrad Reuter, Suresh Guttikonda, Chaitali Uday Karekar, Christian Betz, Alexander Schlaefer · 11. September 2026

  Optical coherence tomography is a promising modality for markerless motion tracking due to its high spatial resolution and inherent depth perception. However, existing OCT-based tracking approaches are limited in terms of trackable velocity, particularly when multiple landmarks are tracked sequentia…

• ARCOS: Zero-shot Boundary Localization for Corneal Layer Segmentation Across Optical Coherence Tomography Devices

  Nuno Vivas Br\'as, Benjamin Memmi, Ma\"elle Bouhassane, Cristina Georgeon, Vincent Borderie, Karsten Plamann, Anatole Chessel · 4. September 2026

  Accurate segmentation of corneal layers in optical coherence tomography (OCT) is essential for quantitative assessment of corneal morphology, including layer thickness and structural changes associated with disease or surgery. However, automatic segmentation remains challenging because corneal inter…

• In Defense of OCTA: The Reconstruction-Utility Gap in OCT-to-OCTA Synthesis

  Michael Chertok, Alon Tiosano, Orly Gal-Or, Lior Kramarski, Einav Baharav Shlezinger, Irit Bahar, Lior Wolf · 18. August 2026

  Optical coherence tomography angiography (OCTA) images retinal blood flow, giving capillary-perfusion and foveal-avascular-zone biomarkers that grade diabetic-retinopathy ischemia. Because OCTA hardware is less common than structural OCT, recent work synthesizes it from OCT, reporting strong reconst…

• Label-Free Deep-Tissue Peripheral Nerve Detection with a Handheld Multimodal OCT Probe and NerveDetNet

  Yihan Wang, Ruilin You, Shaobai Li, Jiabin Chen, Bofan Song, Anh D. Le, Rongguang Liang · 17. August 2026

  Peripheral nerves buried beneath intact tissue are difficult to visualize during surgery and remain inaccessible to white light wide-field imaging and other surface optical imaging methods. Existing OCT nerve studies have largely relied on exposed nerves or polarization contrast with limited depth p…

• Three-Dimensional Retinal Microvasculature Restoration in OCT Angiography

  Yukun Guo, Min Gao, Tristan T. Hormel, Steven T. Bailey, Thomas S. Hwang, Yali Jia · 5. Juni 2026

  Optical coherence tomographic angiography (OCTA) is a powerful technique for imaging retinal microvasculature. However, acquiring reliable quantification of retinal blood flow and areas of retinal nonperfusion is challenging because of imaging artifacts. Existing methods primarily focus on noise sup…

• OphMAE: Bridging Volumetric and Planar Imaging with a Foundation Model for Adaptive Ophthalmological Diagnosis

  Tienyu Chang, Zhen Chen, Renjie Liang, Jinyu Ding, Jie Xu, Sunu Mathew, Amir Reza Hajrasouliha, Andrew J. Saykin, Ruogu Fang, Yu Huang, Jiang Bian, Qingyu Chen · 6. Mai 2026

  The advent of foundation models has heralded a new era in medical artificial intelligence (AI), enabling the extraction of generalizable representations from large-scale unlabeled datasets. However, current ophthalmic AI paradigms are predominantly constrained to single-modality inference, thereby c…

• Physics-Informed Conditional Diffusion for Motion-Robust Retinal Temporal Laser Speckle Contrast Imaging

  Qian Chen, Yuehao Chen, Qiang Wang, Lei Zhu, Yanye Lu, Qiushi Ren · 23. April 2026

  Retinal laser speckle contrast imaging (LSCI) is a noninvasive optical modality for monitoring retinal blood flow dynamics. However, conventional temporal LSCI (tLSCI) reconstruction relies on sufficiently long speckle sequences to obtain stable temporal statistics, which makes it vulnerable to acqu…

• 6D Robotic OCT Scanning of Curved Tissue Surfaces

  Suresh Guttikonda, Maximilian Neidhardt, Vidas Raudonis, Alexander Schlaefer · 24. März 2026

  Optical coherence tomography (OCT) is a non-invasive volumetric imaging modality with high spatial and temporal resolution. For imaging larger tissue structures, OCT probes need to be moved to scan the respective area. For handheld scanning, stitching of the acquired OCT volumes requires overlap to …

• Exploiting Intermediate Reconstructions in Optical Coherence Tomography for Test-Time Adaption of Medical Image Segmentation

  Thomas Pinetz, Veit Hucke, Hrvoje Bogunovic · 6. März 2026

  Primary health care frequently relies on low-cost imaging devices, which are commonly used for screening purposes. To ensure accurate diagnosis, these systems depend on advanced reconstruction algorithms designed to approximate the performance of high-quality counterparts. Such algorithms typically …

• Real-time topology-aware M-mode OCT segmentation for robotic deep anterior lamellar keratoplasty (DALK) guidance

  Rosalinda Xiong, Jinglun Yu, Yaning Wang, Ziyi Huang, Jin U. Kang · 4. Februar 2026

  Robotic deep anterior lamellar keratoplasty (DALK) requires accurate real time depth feedback to approach Descemet's membrane (DM) without perforation. M-mode intraoperative optical coherence tomography (OCT) provides high temporal resolution depth traces, but speckle noise, attenuation, and instrum…

• Physics-based generation of multilayer corneal OCT data via Gaussian modeling and MCML for AI-driven diagnostic and surgical guidance applications

  Jinglun Yu, Yaning Wang, Rosalinda Xiong, Ziyi Huang, Kristina Irsch, Jin U. Kang · 4. Februar 2026

  Training deep learning models for corneal optical coherence tomography (OCT) imaging is limited by the availability of large, well-annotated datasets. We present a configurable Monte Carlo simulation framework that generates synthetic corneal B-scan optical OCT images with pixel-level five-layer seg…

• End-to-end reconstruction of OCT optical properties and speckle-reduced structural intensity via physics-based learning

  Jinglun Yu, Yaning Wang, Wenhan Guo, Yuan Gao, Yu Sun, Jin U. Kang · 4. Februar 2026

  Inverse scattering in optical coherence tomography (OCT) seeks to recover both structural images and intrinsic tissue optical properties, including refractive index, scattering coefficient, and anisotropy. This inverse problem is challenging due to attenuation, speckle noise, and strong coupling amo…

• VAMOS-OCTA: Vessel-Aware Multi-Axis Orthogonal Supervision for Inpainting Motion-Corrupted OCT Angiography Volumes

  Nick DiSanto, Ehsan Khodapanah Aghdam, Han Liu, Jacob Watson, Yuankai K. Tao, Hao Li, Ipek Oguz · 3. Februar 2026

  Handheld Optical Coherence Tomography Angiography (OCTA) enables noninvasive retinal imaging in uncooperative or pediatric subjects, but is highly susceptible to motion artifacts that severely degrade volumetric image quality. Sudden motion during 3D acquisition can lead to unsampled retinal regions…

• SPGD: Steepest Perturbed Gradient Descent Optimization

  Amir M. Vahedi, Horea T. Ilies · 15. Januar 2026

  Optimization algorithms are pivotal in advancing various scientific and industrial fields but often encounter obstacles such as trapping in local minima, saddle points, and plateaus (flat regions), which makes the convergence to reasonable or near-optimal solutions particularly challenging. This pap…

• Prior-AttUNet: Retinal OCT Fluid Segmentation Based on Normal Anatomical Priors and Attention Gating

  Li Yang, Yuting Liu · 26. Dezember 2025

  Accurate segmentation of macular edema, a hallmark pathological feature in vision-threatening conditions such as age-related macular degeneration and diabetic macular edema, is essential for clinical diagnosis and management. To overcome the challenges of segmenting fluid regions in optical coherenc…