Title
Fundus image mosaicking for information augmentation in computer-assisted slit-lamp imaging.
Abstract
Laser photocoagulation is currently the standard treatment for sight-threatening diseases worldwide, namely diabetic retinopathy and retinal vein occlusions. The slit lamp biomicroscope is the most commonly used device for this procedure, specially for the treatment of the eye periphery. However, only a small portion of the retina can be visualized through the biomicroscope, complicating the task of localizing and identifying surgical targets, increasing treatment duration and patient discomfort. In order to assist surgeons, we propose a method for creating intraoperative retina maps for view expansion using a slit-lamp device. Based on the mosaicking method described by Richa et al, 2012, the proposed method is a combination of direct and feature-based methods, suitable for the textured nature of the human retina. In this paper, we describe three major enhancements to the original formulation. The first is a visual tracking method using local illumination compensation to cope with the challenging visualization conditions. The second is an efficient pixel selection scheme for increased computational efficiency. The third is an entropy-based mosaic update method to dynamically improve the retina map during exploration. To evaluate the performance of the proposed method, we conducted several experiments on human subjects with a computer-assisted slit-lamp prototype. We also demonstrate the practical value of the system for photo documentation, diagnosis and intraoperative navigation.
Year
DOI
Venue
2014
10.1109/TMI.2014.2309440
IEEE Trans. Med. Imaging
Keywords
Field
DocType
eye,biomicroscope,intraoperative retina maps,diagnosis,fundus,biomedical optical imaging,image segmentation,photodocumentation,information augmentation,laser photocoagulation,computer-assisted slit-lamp imaging,local illumination compensation,feature extraction,fundus image mosaicking,visual tracking method,laser applications in medicine,entropy-based mosaic update method,slit-lamp,surgery,medical image processing,mosaicking,lighting,entropy,imaging,visualization
Computer vision,Medical imaging,Visualization,Fundus (eye),Feature extraction,Image segmentation,Eye tracking,Pixel,Artificial intelligence,Slit lamp,Mathematics
Journal
Volume
Issue
ISSN
33
6
1558-254X
Citations 
PageRank 
References 
7
0.58
17
Authors
11
Name
Order
Citations
PageRank
Rogério Richa123814.89
Rodrigo Linhares282.27
Eros Comunello36615.04
Aldo von Wangenheim420949.44
Jean-Yves Schnitzler570.58
B. Wassmer670.92
Claire Guillemot770.58
Gilles Thuret870.92
Philippe Gain970.92
Hager Gregory D101946159.37
Russell H. Taylor111970438.00