Temporally Coherent Illumination Normalization for Indocyanine Green Video Angiography.
IEEE J Biomed Health Inform
; 22(2): 570-578, 2018 03.
Article
en En
| MEDLINE
| ID: mdl-28092584
Indocyanine green (ICG) angiography is an imaging method for doctors to observe choroidal abnormalities in human eyes. The ICG angiograms typically exhibit inhomogeneous illumination, which poses serious difficulties for the development of computer-aided diagnostic tools. In this paper, we propose a novel illumination normalization method to alleviate the inhomogeneous illumination in ICG video angiograms. In particular, we first align the viewpoint of the input ICG video angiogram using an image registration method. Then, we acquire temporal information using time-dependent intrinsic image and compute the corresponding illumination image. Finally, we correct inhomogeneous illumination from the illumination image by estimating contrast and luminosity distortion. We have conducted extensive evaluation using ICG video angiograms of 60 patients. Two video quality assessment methods are utilized to evaluate the performance of our proposed illumination normalization method. The results show that our proposed method can help improve the visual quality of ICG video angiogram. Visual evaluation by a human expert also confirms that our method yields better illumination normalization results.
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Grabación en Video
/
Procesamiento de Imagen Asistido por Computador
/
Angiografía
/
Verde de Indocianina
Límite:
Humans
Idioma:
En
Revista:
IEEE J Biomed Health Inform
Año:
2018
Tipo del documento:
Article
Pais de publicación:
Estados Unidos