Investigation of alterations in multifractality in optical coherence tomographic images of in vivo human retina

• Published in: Journal of biomedical optics 2016-09, Vol.21 (9), p.096004-096004
• Main Authors: Das, Nandan Kumar, Mukhopadhyay, Sabyasachi, Ghosh, Nirmalya, Chhablani, Jay, Richhariya, Ashutosh, Divakar Rao, Kompalli, Sahoo, Naba Kishore
• Format: Article
• Language: English
• Subjects: Diabetic Retinopathy - diagnostic imaging; Fractals; Humans; Image Processing, Computer-Assisted - methods; Macular Edema - diagnostic imaging; Retina - diagnostic imaging; Signal Processing, Computer-Assisted; Tomography, Optical Coherence - methods
• ISSN: 1083-3668; 1560-2281
• DOI: 10.1117/1.JBO.21.9.096004

Optical coherence tomography (OCT) enables us to monitor alterations in the thickness of the retinal layer as disease progresses in the human retina. However, subtle morphological changes in the retinal layers due to early disease progression often may not lead to detectable alterations in the thickness. OCT images encode depth-dependent backscattered intensity distribution arising due to the depth distributions of the refractive index from tissue microstructures. Here, such depth-resolved refractive index variations of different retinal layers were analyzed using multifractal detrended fluctuation analysis, a special class of multiresolution analysis tools. The analysis extracted and quantified microstructural multifractal information encoded in normal as well as diseased human retinal OCT images acquired in vivo. Interestingly, different layers of the retina exhibited different degrees of multifractality in a particular retina, and the individual layers displayed consistent multifractal trends in healthy retinas of different human subjects. In the retinal layers of diabetic macular edema (DME) subjects, the change in multifractality manifested prominently near the boundary of the DME as compared to the normal retinal layers. The demonstrated ability to quantify depth-resolved information on multifractality encoded in OCT images appears promising for the early diagnosis of diseases of the human eye, which may also prove useful for detecting other types of tissue abnormalities from OCT images.