1. Articles from MathWorks

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    1. OCTSEG (Optical Coherence Tomography Segmentation and Evaluation GUI)

      OCTSEG (Optical Coherence Tomography Segmentation and Evaluation GUI)

      OCTSEG (Optical Coherence Tomography Segmentation and Evaluation GUI) is a graphical user interface (GUI) written in MATLAB for research purpose. The retinal layers and the blood vessels of retinal OCT scans can be segmented. Tools for the manual correction of the automated segmentations are provided. The segmentations or resulting thickness measurements on the retinal layers may be exported as a CSV file, which is readable by many standard software programms (e.g. Excel). Current Features: - Heidelberg Engineering Spectralis OCT RAW data (.vol ending): Circular scans and Optic Nerve Head centered volumes are supported - Image file (.tif, .pgm, .jpg) support. Multiple ...

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    2. Developing in vivo Functional Imaging Technology with Micron-Scale Resolution Using Optical Coherence Tomography

      Developing in vivo Functional Imaging Technology with Micron-Scale Resolution Using Optical Coherence Tomography

      Researchers and physicians rely on functional imaging to better understand tumors and other structures within the human body. However, imaging technologies that capture deep structures have poor resolution, while those that provide high resolution have limited depth. Positron emission tomography (PET), for example, reveals details deep within tissue but suffers from poor spatial resolution, with each voxel of a PET scan representing thousands or even millions of cells. In contrast, optical microscopy can deliver subcellular spatial resolution but is usually limited to a depth of tens of microns. Optical coherence tomography (OCT) helps bridge the gap between low-resolution/high-penetration and ...

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    3. Reconstruction and Spectral Analysis for Optical Coherence Tomography

      Reconstruction and Spectral Analysis for Optical Coherence Tomography

      MATLAB code for reconstruction and spectral analysis of spectral domain OCT images. This code can be used as part of a platform for molecular imaging with OCT, which we call MOZART. This code was created to read raw interferograms from Thorlabs OCTs (SW version 4 works best, but version 3 is also supported with a few changes). It reconstructs the raw interferograms into OCT images, and supports both 2D, 3D and speckle variance. In addition to reconstructing the images this code: Calculates the normalized spcekle variance (useful for detecting blood vessels) Calculates dispersion compensation Calculates a map of spectral contras ...

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    4. Developing in vivo Functional Imaging Technology with Micron-Scale Resolution Using Optical Coherence Tomography

      Developing in vivo Functional Imaging Technology with Micron-Scale Resolution Using Optical Coherence Tomography

      Researchers and physicians rely on functional imaging to better understand tumors and other structures within the human body. However, imaging technologies that capture deep structures have poor resolution, while those that provide high resolution have limited depth. Positron emission tomography (PET), for example, reveals details deep within tissue but suffers from poor spatial resolution, with each voxel of a PET scan representing thousands or even millions of cells. In contrast, optical microscopy can deliver subcellular spatial resolution but is usually limited to a depth of tens of microns. Optical coherence tomography (OCT) helps bridge the gap between low-resolution/high-penetration and ...

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    1-5 of 5
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