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ACCURATE REGISTRATION BETWEEN ULTRA-WIDE-FIELD AND NARROW ANGLE RETINA IMAGES WITH 3D EYEBALL SHAPE OPTIMIZATION.
Zhang, Junkang; Wen, Bo; Kalaw, Fritz Gerald P; Cavichini, Melina; Bartsch, Dirk-Uwe G; Freeman, William R; Nguyen, Truong Q; An, Cheolhong.
Afiliación
  • Zhang J; Department of Electrical and Computer Engineering, UC San Diego.
  • Wen B; Department of Electrical and Computer Engineering, UC San Diego.
  • Kalaw FGP; Department of Ophthalmology, Jacobs Retina Center at Shiley Eye Institute, UC San Diego.
  • Cavichini M; Department of Ophthalmology, Jacobs Retina Center at Shiley Eye Institute, UC San Diego.
  • Bartsch DG; Department of Ophthalmology, Jacobs Retina Center at Shiley Eye Institute, UC San Diego.
  • Freeman WR; Department of Ophthalmology, Jacobs Retina Center at Shiley Eye Institute, UC San Diego.
  • Nguyen TQ; Department of Electrical and Computer Engineering, UC San Diego.
  • An C; Department of Electrical and Computer Engineering, UC San Diego.
Proc Int Conf Image Proc ; 2023: 2750-2754, 2023 Oct.
Article en En | MEDLINE | ID: mdl-38946915
ABSTRACT
The Ultra-Wide-Field (UWF) retina images have attracted wide attentions in recent years in the study of retina. However, accurate registration between the UWF images and the other types of retina images could be challenging due to the distortion in the peripheral areas of an UWF image, which a 2D warping can not handle. In this paper, we propose a novel 3D distortion correction method which sets up a 3D projection model and optimizes a dense 3D retina mesh to correct the distortion in the UWF image. The corrected UWF image can then be accurately aligned to the target image using 2D alignment methods. The experimental results show that our proposed method outperforms the state-of-the-art method by 30%.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Proc Int Conf Image Proc Año: 2023 Tipo del documento: Article Pais de publicación: Estados Unidos
Texto completo
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PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Proc Int Conf Image Proc Año: 2023 Tipo del documento: Article Pais de publicación: Estados Unidos