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GPU-Based Image Geodesics for Optical Coherence Tomography [chapter]

Benjamin Berkels, Michael Buchner, Alexander Effland, Martin Rumpf, Steffen Schmitz-Valckenberg
2017 Informatik aktuell  
First results for time series of optical coherence tomography images of a macular degeneration demonstrate the applicability of this geometric concept.  ...  Based on a variational time discretization, discrete geodesic paths in this space of images are computed.  ...  In this paper, we demonstrate the applicability of this approach to optical coherence tomography (OCT) images in age-related macular degeneration, the most common cause of irreversible visual loss in industrial  ... 
doi:10.1007/978-3-662-54345-0_21 dblp:conf/bildmed/BerkelsBERS17 fatcat:nsjx6c3awzcbbmxt2djxickr44

A New Idea of Fast Three-Dimensional Median Filtering for Despeckling of Optical Coherence Tomography Images

Jarosław Gocławski, Joanna Sekulska-Nalewajko
2015 Image Processing & Communications  
The authors encountered the problem when applying median filter to speckle noise reduction in optical coherence tomography images acquired by the Spark OCT systems.  ...  In the paper a new approach to the GPU (Graphics Processing Unit) based median smoothing has been proposed, which uses two-step evaluation of local intensity histograms stored in the shared memory of a  ...  Speckle noise influences the visual assessment of optical coherence tomography (OCT) images, affects detected boundaries of internal layers and therefore reduces diagnostic importance of acquired image  ... 
doi:10.1515/ipc-2015-0037 fatcat:cgyefwtpifhjpbcfhnyjlh3ori

Detection of Diabetic Macular Edema in Optical Coherence Tomography Image Using an Improved Level Set Algorithm

Zhenhua Wang, Wenping Zhang, Yanan Sun, Mudi Yao, Biao Yan
2020 BioMed Research International  
DME detection in Optical Coherence Tomography (OCT) image contributes to the early diagnosis of diabetic retinopathy and blindness prevention.  ...  In this study, we proposed a novel algorithm for the detection and segmentation of DME region in OCT image based on the K-means clustering algorithm and improved Selective Binary and Gaussian Filtering  ...  Optical coherence tomography (OCT) has gained increasing attention as a diagnosis tool for DME detection [29] .  ... 
doi:10.1155/2020/6974215 pmid:32420362 pmcid:PMC7210525 fatcat:prxf6m7sijhn3m7qep4a3nx6za

Estimating postprandial glucose fluxes using hierarchical Bayes modelling

Ahmad Haidar, Elizabeth Potocka, Benoit Boulet, A. Margot Umpleby, Roman Hovorka
2012 Computer Methods and Programs in Biomedicine  
Lamouche, "Real-time control of angioplasty balloon inflation based on feedback from intravascular optical coherence tomography: experimental validation on an excised heart and a beating heart model" IEEE  ...  Lamouche, "Real-time Control of Angioplasty Balloon Inflation Based on Feedback from Intravascular Optical Coherence Tomography: Preliminary Study on an Artery Phantom," IEEE Transactions on Ng and P.E.Caines  ... 
doi:10.1016/j.cmpb.2012.01.010 pmid:22364961 fatcat:op6ujxzgwfbdbf5abvwcp5ysx4

Transmission–reflection optoacoustic ultrasound (TROPUS) computed tomography of small animals

Elena Merčep, Joaquín L. Herraiz, Xosé Luís Deán-Ben, Daniel Razansky
2019 Light: Science & Applications  
Graphics-processing unit (GPU)-based algorithms employing spatial compounding and bent-ray-tracing iterative reconstruction were further developed to attain real-time rendering of ultrasound tomography  ...  The system features full-view cross-sectional tomographic imaging geometry for concomitant noninvasive mapping of the absorbed optical energy, acoustic reflectivity, speed of sound, and acoustic attenuation  ...  Reflection ultrasound-computed tomography (RUCT) In the RUCT mode, a high-resolution image was created by coherent summation of the low-resolution images from 128 individual transmission events corresponding  ... 
doi:10.1038/s41377-019-0130-5 pmid:30728957 pmcid:PMC6351605 fatcat:e77ykq7kqja67j2bycj274frwe

Integrating Handcrafted and Deep Features for Optical Coherence Tomography Based Retinal Disease Classification

Xuechen Li, Linlin Shen, Meixiao Shen, Connor S. Qiu
2019 IEEE Access  
tomography image-based eye disease classification.  ...  INDEX TERMS Artificial intelligence, deep learning, optical coherence tomography, feature integration.  ...  Optical coherence tomography (OCT) has become a powerful imaging modality for non-invasive diagnosis of various retinal abnormalities, such as choroidal neovascularization (CNV) [1] - [3] , diabetic  ... 
doi:10.1109/access.2019.2891975 fatcat:54pbkn2zuzcupc3a6s4y2repiy

Faster Segmentation Algorithm for Optical Coherence Tomography Images with Guaranteed Smoothness [chapter]

Lei Xu, Branislav Stojkovic, Hu Ding, Qi Song, Xiaodong Wu, Milan Sonka, Jinhui Xu
2011 Lecture Notes in Computer Science  
In this paper we present a highly efficient graph-theoretical approach for segmenting a surface from 3D OCT images.  ...  Based on a volumetric graph representation of the 3D images that incorporates curvature information, our approach first generates a set of 2D local optimal segmentations, and then iteratively improves  ...  The problem arises not only in the segmentation problem of biomedical images (e.g., CT, MRI, Ultrasound, Microscopy, Optical Coherence Tomography (OCT)) [4, 5] , but also in many other fundamental optimization  ... 
doi:10.1007/978-3-642-24319-6_38 fatcat:5tlipemlwna4fjwwjmmaedf6ei

Interactive processing and visualization of image data for biomedical and life science applications

Oliver G Staadt, Vijay Natarajan, Gunther H Weber, David F Wiley, Bernd Hamann
2007 BMC Cell Biology  
We present an adaptive high-resolution display system suitable for biomedical image data, algorithms for analyzing and visualization protein surfaces and retinal optical coherence tomography data, and  ...  visualization tools for 3D gene expression data.  ...  Werner, Robert Zawadzki, Joe Izaatt, Stacey Choi, and Alfred Fuller for their contributions to the retinal imaging project.  ... 
doi:10.1186/1471-2121-8-s1-s10 pmid:17634091 pmcid:PMC1924506 fatcat:pqu2xstzunhtrbyvsnqy52fgei

Blood vessel segmentation algorithms — Review of methods, datasets and evaluation metrics

Sara Moccia, Elena De Momi, Sara El Hadji, Leonardo S. Mattos
2018 Computer Methods and Programs in Biomedicine  
For each analyzed approach, summary tables are presented reporting imaging technique used, anatomical region and performance measures employed.  ...  Blood vessel segmentation is a topic of high interest in medical image analysis since the analysis of vessels is crucial for diagnosis, treatment planning and execution, and evaluation of clinical outcomes  ...  OCT: Optical Coherence Tomography.  ... 
doi:10.1016/j.cmpb.2018.02.001 pmid:29544791 fatcat:cchvmvuy5zgzzetv5hwc67nnbe

Automated Deep Learning-based Multi-class Fluid Segmentation in Swept-Source Optical Coherence Tomography Images [article]

Jonathan D Oakley, Simrat K Sodhi, Daniel B Russakoff, Netan Choudhry
2020 bioRxiv   pre-print
Methods: Twenty-two swept-source optical coherence tomography (SS-OCT) volumes of the macula from 22 from different individuals with wAMD were manually annotated by two expert graders.  ...  The correlation of fluid volume between the expert graders and the algorithm were 0.99 for IRF, 0.99 for SRF and 0.82 for PED.  ...  Optical coherence tomography (OCT) revolutionized the management of AMD and has been used in investigative trials to link anatomical structure to function in the form of visual acuity (VA). 6 This ability  ... 
doi:10.1101/2020.09.01.278259 fatcat:6avafd3kqbhbxh3qr64s4ilb2u

Brain-inspired algorithms for retinal image analysis

Bart M. ter Haar Romeny, Erik J. Bekkers, Jiong Zhang, Samaneh Abbasi-Sureshjani, Fan Huang, Remco Duits, Behdad Dashtbozorg, Tos T. J. M. Berendschot, Iris Smit-Ockeloen, Koen A. J. Eppenhof, Jinghan Feng, Julius Hannink (+10 others)
2016 Machine Vision and Applications  
This paper describes a series of innovative brain-inspired algorithms for automated retinal image analysis, recently developed for the B Bart M. ter Haar Romeny .  ...  The methods are currently validated in collaborating hospitals, with a rich accompanying base of metadata, to phenotype and validate the quantitative algorithms for optimal classification power.  ...  Several other early DR signs can be measured, such as nerve damage in the cornea with confocal laser microscopy, or changes in retina neural tissue layer thickness with optical coherence tomography (OCT  ... 
doi:10.1007/s00138-016-0771-9 fatcat:uzkykflk7zcodjdxadakqekn2u

Advanced Algorithms in Medical Computer Graphics [article]

Jan Klein, Dirk Bartz, Ola Friman, Markus Hadwiger, Bernhard Preim, Felix Ritter, Anna Vilanova, Gabriel Zachmann
2008 Eurographics State of the Art Reports  
Advanced algorithms and efficient visualization techniques are of major importance in intra-operative imaging and image-guided surgery.  ...  This paper summarizes advanced algorithms for medical visualization with special focus on risk structures such as tumors, vascular systems and white matter fiber tracts.  ...  However, recent advances in GPU-based ray-casting easily allow for perspective projection, which is especially important in virtual endoscopy [SHNB06] .  ... 
doi:10.2312/egst.20081043 fatcat:7pk4swpmmvb4vl576xjm3leuue

From survey to representation. Operation guidelines [chapter]

2012 Computational Modelling of Objects Represented in Images III  
An automatic unsupervised fuzzy method for image segmentation  ...  Methods of graph searching for border detection in image sequences with applications to cardiac magnetic resonance imaging. IEEE Transaction On Medical Imaging 14 (1), 42-55.  ...  Realtime pickup method for a three-dimensional image based on integral photography. Applied Optics. Vol.36, NO.7.  ... 
doi:10.1201/b12753-91 fatcat:nh3phzgj2rcr3hwvqajsligzoq

2019 Index IEEE Transactions on Geoscience and Remote Sensing Vol. 57

2019 IEEE Transactions on Geoscience and Remote Sensing  
., Incorporating Temporary Coherent Li, X., Yeo, T.S., Yang, Y., Chi, C., Zuo, F., Hu, X., and Pi, Y., Refo-cusing and Zoom-In Polar Format Algorithm for Curvilinear Spotlight SAR Imaging on Arbitrary  ...  ., Insect Biological Parameter Estimation Based on the Invariant Target Parameters of the Scattering Matrix; TGRS Aug. 2019 6212-6225 Hu, C., see Zhang, M., TGRS Sept. 2019 6666-6674 Hu, C., Zhang,  ...  ., +, TGRS Aug. 2019 6003-6017 An Object-Based Hierarchical Compound Classification Method for Change Detection in Heterogeneous Optical and SAR Images.  ... 
doi:10.1109/tgrs.2020.2967201 fatcat:kpfxoidv5bgcfo36zfsnxe4aj4

Learning Capacity in Simulated Virtual Neurological Procedures

Mattia Samuel Mancosu, Silvester Czanner, Martin Punter
2020 Journal of WSCG  
ACKNOWLEDGEMENTS The authors would like to thank Oana Rotaru-Orhei for her comments and the three anonymous reviewers for their insightful suggestions.  ...  ACKNOWLEDGMENTS The authors acknowledge the support of the NSERC/Creaform Industrial Research Chair on 3-D Scanning for conducting the work presented in this paper.  ...  [22] developed a fully automated algorithm to segment fluid-filled and cyst regions in optical coherence tomography (OCT) retina images, segmented by combining a neutrosophic transformation and a graph-based  ... 
doi:10.24132/csrn.2020.3001.13 fatcat:uytlm7nytrhmnk553ellfhl54a
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