title: New variational image decomposition model for simultaneously denoising and segmenting optical coherence tomography images.
abstract: Optical coherence tomography (OCT) imaging plays an important role in clinical diagnosis and monitoring of diseases of the human retina. Automated analysis of optical coherence tomography images is a challenging task as the images are inherently noisy. In this paper, a novel variational image decomposition model is proposed to decompose an OCT image into three components: the first component is the original image but with the noise completely removed; the second contains the set of edges representing the retinal layer boundaries present in the image; and the third is an image of noise, or in image decomposition terms, the texture, or oscillatory patterns of the original image. In addition, a fast Fourier transform based split Bregman algorithm is developed to improve computational efficiency of solving the proposed model. Extensive experiments are conducted on both synthesised and real OCT images to demonstrate that the proposed model outperforms the state-of-the-art speckle noise reduction methods and leads to accurate retinal layer segmentation.
authors.affiliation: School of Computer Science, University of Nottingham, Nottingham NG7 2RD, UK.
authors.forename: Jinming
authors.initials: J
authors.lastname: Duan
authors.forename: Christopher
authors.initials: C
authors.lastname: Tench
authors.forename: Irene
authors.initials: I
authors.lastname: Gottlob
authors.forename: Frank
authors.initials: F
authors.lastname: Proudlock
authors.forename: Li
authors.initials: L
authors.lastname: Bai
mesh_terms: D000328:Adult; D000465:Algorithms; D005260:Female; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008297:Male; D008962:Models, Theoretical; D011859:Radiography; D012160:Retina / Q000033:anatomy & histology* / Q000000981:diagnostic imaging*; D012815:Signal Processing, Computer-Assisted; D059629:Signal-To-Noise Ratio; D017550:Spectroscopy, Fourier Transform Infrared; D041623:Tomography, Optical Coherence / Q000379:methods*