Extraction of Optic Cup in Retinal Fundus images: A Compartitive Approach

Wyawahare, Medha; Patil, Pradeep M.

doi:10.14257/ijsip.2014.7.2.36

Cited by 13 publications

(10 citation statements)

References 9 publications

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“…These hybrid systems offer complementary advantages, with MRI or CT providing intricate anatomic detail and PET offering biologically relevant functional and metabolic information at high sensitivity. For multimodal imaging via separate MRI/CT and PET systems, various image coregistration techniques have been developed, in order to ensure the spatial correlation of the anatomical and functional data . Moreover, these multimodal imaging approaches also provide exciting opportunities for the development of multimodal probes, in order to improve image contrast.…”

Section: Introductionmentioning

confidence: 92%

Multispectral optoacoustic and MRI coregistration for molecular imaging of orthotopic model of human glioblastoma

Attia

Chandrasekharan

et al. 2016

Journal of Biophotonics

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Multi-modality imaging methods are of great importance in oncologic studies for acquiring complementary information, enhancing the efficacy in tumor detection and characterization. We hereby demonstrate a hybrid non-invasive in vivo imaging approach of utilizing magnetic resonance imaging (MRI) and Multispectral Optoacoustic Tomography (MSOT) for molecular imaging of glucose uptake in an orthotopic glioblastoma in mouse. The molecular and functional information from MSOT can be overlaid on MRI anatomy via image coregistration to provide insights into probe uptake in the brain, which is verified by ex vivo fluorescence imaging and histological validation. In vivo MSOT and MRI imaging of an orthotopic glioma mouse model injected with IRDye800-2DG. Image coregistration between MSOT and MRI enables multifaceted (anatomical, functional, molecular) information from MSOT to be overlaid on MRI anatomy images to derive tumor physiological parameters such as perfusion, haemoglobin and oxygenation.

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Section: Introductionmentioning

confidence: 92%

Multispectral optoacoustic and MRI coregistration for molecular imaging of orthotopic model of human glioblastoma

Attia

Chandrasekharan

et al. 2016

Journal of Biophotonics

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“…previously introduced must be modified. [ 3,4,5] suggested a method of a determining the threshold for every resolution level K : k increases, the threshold increases, and so is the probability of match.…”

Section: Threshold Sequence Categoriesmentioning

confidence: 99%

Scene Matching Techniques Using Satellite Imagery Data

Shahin

2023

International Journal of Applied Mathematics, Computational Science and Systems Engineering

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The problem of scene matching is a challenging problem in the field of image processing and pattern recognition. Therefore, it is modeled and its influencing factors are analyzed. According to sources, influence factors can be catalogued into three types: 1- changes of scenes 2- changes of image conditions 3- changes of sensors. For each factor, its mechanism is discussed. Given a pictorial description of a region of a scene, it is desired to determine which region in another scene is similar. The most efficient algorithms for scene matching are discussed. Those are the sequential hierarchical scenes matching algorithms for grey-scale and binary images and the two-stage template-matching algorithm. Experimental results are presented for matching satellite images of AI-Minea (EGYPT) and Montana (USA) using those approaches. The results prove efficiency and success in reaching the best match location with minimum required computations. A comment on the results is presented as well as a comparison between the applied methods.

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“…In most cases a rigid coordinate system transformation involving translation and rotation is optimised given some corresponding features ( Wyawahare et al., 2009 ). The required accuracy of the established registration depends on the application.…”

Section: Registration and Tracking In Surgical Armentioning

confidence: 99%