Motion Correction in Optical Coherence Tomography Volumes

doi:doi:10.57702/k0dhymdi

Motion Correction in Optical Coherence Tomography Volumes

The dataset used in this paper is a collection of 102 scan pairs containing both healthy and a wide range of pathologic cases. The dataset is used to evaluate the proposed method for motion correction in optical coherence tomography (OCT) volumes.

BibTex:

@dataset{Stefan_B_Ploner_and_Martin_F_Kraus_and_Eric_M_Moult_and_Lennart_Husvogt_and_Julia_Schottenhamml_and_A_Yasin_Alibhai_and_Nadia_K_Waheed_and_Jay_S_Duker_and_James_G_Fujimoto_and_Andreas_K_Maier_2024,
    abstract = {The dataset used in this paper is a collection of 102 scan pairs containing both healthy and a wide range of pathologic cases. The dataset is used to evaluate the proposed method for motion correction in optical coherence tomography (OCT) volumes.},
    author = {Stefan B. Ploner and Martin F. Kraus and Eric M. Moult and Lennart Husvogt and Julia Schottenhamml and A. Yasin Alibhai and Nadia K. Waheed and Jay S. Duker and James G. Fujimoto and Andreas K. Maier},
    doi = {10.57702/k0dhymdi},
    institution = {No Organization},
    keyword = {'Image Registration', 'Motion Correction', 'Optical Coherence Tomography'},
    month = {dec},
    publisher = {TIB},
    title = {Motion Correction in Optical Coherence Tomography Volumes},
    url = {https://service.tib.eu/ldmservice/dataset/motion-correction-in-optical-coherence-tomography-volumes},
    year = {2024}
}