Multidimensional Orientation Estimation with Applications to Texture Analysis and Optical Flow
IEEE Transactions on Pattern Analysis and Machine Intelligence
A survey of image registration techniques
ACM Computing Surveys (CSUR)
Irregular motion recovery in fluorescein angiograms
Pattern Recognition Letters
Multilocal creaseness based on the level-set extrinsic curvature
Computer Vision and Image Understanding - Special issue on analysis of volumetric image
Computer Graphics Using OpenGL
Computer Graphics Using OpenGL
Numerical Recipes in C: The Art of Scientific Computing
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In Vivo Analysis of Trabecular Bone Architecture
IPMI '97 Proceedings of the 15th International Conference on Information Processing in Medical Imaging
Path analysis in multiple-target video sequences
ICIAP'11 Proceedings of the 16th international conference on Image analysis and processing - Volume Part II
On the use of a minimal path approach for target trajectory analysis
Pattern Recognition
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Abstract: Fluorescein angiography is an established technique for examining the functional integrity of the retinal microcirculation for early detection of changes due to retinopathy. This paper describes a new method for the registration of large Scanning Laser Ophthalmoscope sequences (SLO), where the patient has been injected with a fluorescent dye. This allows the measurement of parameters such as the arteriovenous passage time. Due to the long time needed to acquire these sequences, there will inevitably be eye movement, which must be corrected prior to the application of quantitative analysis. The algorithm described here combines mutual information-based registration and landmark-based registration. The former will allow the alignment of the darkest frames of the sequence, where the dye has not still arrived to the retina, because of its ability to work with images without a preprocessing or segmentation, while the latter uses relevant features (the vessels) extracted by means of a robust creaseness operator, to get a very fast and accurate registration. The algorithm only detects rigid transformations but proves to be robust against the slight alterations derived from the eye location perspective during acquisition. Results were validated by expert clinicians.