Thickness profiles of retinal layers by optical coherence tomography image segmentation.

[1]  R. Ansari,et al.  A method for detection of retinal layers by optical coherence tomography image segmentation , 2007, 2007 IEEE/NIH Life Science Systems and Applications Workshop.

[2]  R. Ansari,et al.  Low-complexity implementation of non-subsampled directional filter banks using polyphase representations and generalized separable processing , 2007, 2007 IEEE International Conference on Electro/Information Technology.

[3]  H. Ishikawa,et al.  QUANTIFICATION OF PHOTORECEPTOR LAYER THICKNESS IN NORMAL EYES USING OPTICAL COHERENCE TOMOGRAPHY , 2006, Retina.

[4]  Kim L. Boyer,et al.  Automatic recovery of the optic nervehead geometry in optical coherence tomography , 2006, IEEE Transactions on Medical Imaging.

[5]  Teresa C. Chen,et al.  Retinal nerve fiber layer thickness map determined from optical coherence tomography images. , 2005, Optics express.

[6]  M. Shahidi,et al.  Quantitative thickness measurement of retinal layers imaged by optical coherence tomography. , 2005, American journal of ophthalmology.

[7]  Hiroshi Ishikawa,et al.  Macular segmentation with optical coherence tomography. , 2005, Investigative ophthalmology & visual science.

[8]  C. Curcio,et al.  Photoreceptor inner segments in monkey and human retina: Mitochondrial density, optics, and regional variation , 2002, Visual Neuroscience.

[9]  Kim L. Boyer,et al.  Retinal thickness measurements from optical coherence tomography using a Markov boundary model , 2001, IEEE Transactions on Medical Imaging.

[10]  John F. Canny,et al.  A Computational Approach to Edge Detection , 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[11]  D. Rubin,et al.  Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .