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Image Processing, Analysis and Machine Vision
TLDR
The digitized image and its properties are studied, including shape representation and description, and linear discrete image transforms, and texture analysis. Expand
3D Slicer as an image computing platform for the Quantitative Imaging Network.
TLDR
An overview of 3D Slicer is presented as a platform for prototyping, development and evaluation of image analysis tools for clinical research applications and the utility of the platform in the scope of QIN is illustrated. Expand
Optimal Surface Segmentation in Volumetric Images-A Graph-Theoretic Approach
TLDR
An optimal surface detection method capable of simultaneously detecting multiple interacting surfaces, in which the optimality is controlled by the cost functions designed for individual surfaces and by several geometric constraints defining the surface smoothness and interrelations is developed. Expand
Retinal Imaging and Image Analysis
TLDR
Methods for 2-D fundus imaging and techniques for 3-D optical coherence tomography (OCT) imaging are reviewed and aspects of image acquisition, image analysis, and clinical relevance are treated together considering their mutually interlinked relationships. Expand
Image pre-processing
TLDR
The aim of pre- processing is an improvement of the image data that suppresses unwilling distortions or enhances some image features important for further processing, although geometric transformations of images (e.g. rotation, scaling, translation) are classified among pre-processing methods here since similar techniques are used. Expand
Retinal Imaging and Image Analysis.
TLDR
Methods for 2-D fundus imaging and techniques for 3-D optical coherence tomography (OCT) imaging are reviewed and aspects of image acquisition, image analysis, and clinical relevance are treated together considering their mutually interlinked relationships. Expand
Automated 3-D Intraretinal Layer Segmentation of Macular Spectral-Domain Optical Coherence Tomography Images
TLDR
A graph-theoretic segmentation method for the simultaneous segmentation of multiple 3-D surfaces that is guaranteed to be optimal with respect to the cost function and that is directly applicable to the segmentations of 3- D spectral OCT image data is reported. Expand
3-D active appearance models: segmentation of cardiac MR and ultrasound images
TLDR
The comprehensive design of a three-dimensional (3-D) active appearance model (AAM) is reported for the first time as an involved extension of the AAM framework introduced by Cootes et al. Expand
Automatic segmentation of echocardiographic sequences by active appearance motion models
TLDR
A novel extension of active appearance models (AAMs) for automated border detection in echocardiographic image sequences is reported and the AAMM was significantly more accurate than an equivalent set of two-dimensional AAMs. Expand
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