IEEE Organizations related to Optical Coherence Tomography

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Conferences related to Optical Coherence Tomography

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2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

The conference program will consist of plenary lectures, symposia, workshops and invitedsessions of the latest significant findings and developments in all the major fields of biomedical engineering.Submitted papers will be peer reviewed. Accepted high quality papers will be presented in oral and postersessions, will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE


2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI 2020)

The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2020 will be the 17th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2020 meeting will continue this tradition of fostering cross-fertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging.ISBI 2019 will be the 16th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2019 meeting will continue this tradition of fostering cross fertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2018 will be the 15th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2018 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2017 will be the 14th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2017 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI 2016)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forumfor the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2016 willbe the thirteenth meeting in this series. The previous meetings have played a leading role in facilitatinginteraction between researchers in medical and biological imaging. The 2016 meeting will continue thistradition of fostering crossfertilization among different imaging communities and contributing to an integrativeapproach to biomedical imaging across all scales of observation.

  • 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI 2015)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2015 will be the 12th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2014 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI 2014)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2014 will be the eleventh meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2014 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2013 IEEE 10th International Symposium on Biomedical Imaging (ISBI 2013)

    To serve the biological, biomedical, bioengineering, bioimaging and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2012 IEEE 9th International Symposium on Biomedical Imaging (ISBI 2012)

    To serve the biological, biomedical, bioengineering, bioimaging, and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2011 IEEE 8th International Symposium on Biomedical Imaging (ISBI 2011)

    To serve the biological, biomedical, bioengineering, bioimaging, and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2010 IEEE 7th International Symposium on Biomedical Imaging (ISBI 2010)

    To serve the biological, biomedical, bioengineering, bioimaging, and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2009 IEEE 6th International Symposium on Biomedical Imaging (ISBI 2009)

    Algorithmic, mathematical and computational aspects of biomedical imaging, from nano- to macroscale. Topics of interest include image formation and reconstruction, computational and statistical image processing and analysis, dynamic imaging, visualization, image quality assessment, and physical, biological and statistical modeling. Molecular, cellular, anatomical and functional imaging modalities and applications.

  • 2008 IEEE 5th International Symposium on Biomedical Imaging (ISBI 2008)

    Algorithmic, mathematical and computational aspects of biomedical imaging, from nano- to macroscale. Topics of interest include image formation and reconstruction, computational and statistical image processing and analysis, dynamic imaging, visualization, image quality assessment, and physical, biological and statistical modeling. Molecular, cellular, anatomical and functional imaging modalities and applications.

  • 2007 IEEE 4th International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2007)

  • 2006 IEEE 3rd International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2006)

  • 2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2004)

  • 2002 1st IEEE International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2002)


2020 IEEE International Conference on Image Processing (ICIP)

The International Conference on Image Processing (ICIP), sponsored by the IEEE SignalProcessing Society, is the premier forum for the presentation of technological advances andresearch results in the fields of theoretical, experimental, and applied image and videoprocessing. ICIP 2020, the 27th in the series that has been held annually since 1994, bringstogether leading engineers and scientists in image and video processing from around the world.


2020 Optical Fiber Communications Conference and Exhibition (OFC)

The Optical Fiber Communication Conference and Exhibition (OFC) is the largest global conference and exhibition for optical communications and networking professionals. For over 40 years, OFC has drawn attendees from all corners of the globe to meet and greet, teach and learn, make connections and move business forward.OFC attracts the biggest names in the field, offers key networking and partnering opportunities, and provides insights and inspiration on the major trends and technology advances affecting the industry. From technical presentations to the latest market trends and predictions, OFC is a one-stop-shop.


ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

The ICASSP meeting is the world's largest and most comprehensive technical conference focused on signal processing and its applications. The conference will feature world-class speakers, tutorials, exhibits, and over 50 lecture and poster sessions.


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Periodicals related to Optical Coherence Tomography

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Most published Xplore authors for Optical Coherence Tomography

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Xplore Articles related to Optical Coherence Tomography

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Analysis of microangiography images using optical coherence tomography

2017 IEEE 6th Global Conference on Consumer Electronics (GCCE), 2017

In this paper, we present an Optical Coherence Tomography (OCT) processing system to in vivo imaging of vascular remodeling of the skin. The main processing steps consist of vascular segmentation and vascular reconstruction. Firstly, image preprocessing algorithms, i. e., image enhancememt with mean filter and de-shadowing by projection-based strategies, are proposed for vascular segmentation. Then, morphological operators are employed to ...


Research on common path OCT system's light source and interferometer module

2016 IEEE International Conference on Manipulation, Manufacturing and Measurement on the Nanoscale (3M-NANO), 2016

Optical light source is one of the most important factors of the common path optical coherence tomography (CPOCT) system. Not only the bandwidth of the light source determines the axis resolution of the CPOCT, the central wavelength of the light source also determines the measurement depth of the bio-sample. Generally speaking, the most important issue of selecting the light source ...


Multiple instance learning for age-related macular degeneration diagnosis in optical coherence tomography images

2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017), 2017

Age-related macular degeneration (AMD) is a major cause of irreversible blindness and loss of vision in people over 50 years old. Fluid (or cyst) regions such as intraretinal fluid (IRF), subretinal fluid (SRF), and sub- retinal pigment epithelium (sub-RPE), have different tissue appearance in Optical Coherence Tomography (OCT) images compared to normal retina tissue and are a defining feature of ...


Functional Fourier Domain Optical Coherence Tomography and its Applications

2017 Asia Communications and Photonics Conference (ACP), 2017

Novel optical coherence tomography (OCT) systems with ultralong depth range, ultrawide lateral field, and ultrahigh axial resolution are developed, which envision new medical applications. Typical applications of structural and functional OCT are presented. As a depth-resolved optical imaging modality with the merits of non-destruction, high-resolution, and high-speed, OCT is promising for applications in variety areas.


Pixel Reconstruction For Speckle Reduction In 3D Optical Coherence Tomography Of Retina

2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019), 2019

Speckle noise reduction in optical coherence tomography (OCT) is important for better visualization and analysis in retinal imaging. This paper proposes a novel pixel reconstruction based method to reduce speckle noise in 3D OCT of retina. In the proposed method, each pixel is estimated as the sum of a noise- free part and a noise part, which are solved by ...


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Educational Resources on Optical Coherence Tomography

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IEEE.tv Videos

Multi-Level Optimization for Large Fan-In Optical Logic Circuits - Takumi Egawa - ICRC 2018
IMS 2011 Microapps - Ultra Low Phase Noise Measurement Technique Using Innovative Optical Delay Lines
An Energy-efficient Reconfigurable Nanophotonic Computing Architecture Design: Optical Lookup Table - IEEE Rebooting Computing 2017
On-chip Passive Photonic Reservoir Computing with Integrated Optical Readout - IEEE Rebooting Computing 2017
Multi-Level Optical Weights in Integrated Circuits - IEEE Rebooting Computing 2017
Spatial-Spectral Materials for High Performance Optical Processing - IEEE Rebooting Computing 2017
Demonstration of a Coherent Tunable Amplifier for All-Optical Ising Machines: IEEE Rebooting Computing 2017
Towards On-Chip Optical FFTs for Convolutional Neural Networks - IEEE Rebooting Computing 2017
An Integrated Optical Parallel Multiplier Exploiting Approximate Binary Logarithms - Jun Shiomi - ICRC 2018
The Prospects for Scalable Quantum Computing with Superconducting Circuits - Applied Superconductivity Conference 2018
An IEEE IPC Special Session with Kasia Balakier of UCL
Scalable and Reconfigurable Tap-Delay-Line for Multichannel Equalization - Ari Willner - Closing Ceremony, IPC 2018
Q&A with Bruce Kraemer: IEEE Rebooting Computing Podcast, Episode 24
Multiplication with Fourier Optics Simulating 16-bit Modular Multiplication - Abigail Timmel - ICRC 2018
IEEE Magnetics Distinguished Lecture - Mitsuteru Inoue
Optically Interconnected Extreme Scale Computing - Keren Bergman Plenary from the 2016 IEEE Photonics Conference
Ignite! Session: Bill Moses
2013 IEEE Alexander Graham Bell Medal
Robust Qubit Manipulation with Integrated Circuits: Optical Computing - Pérola Milman at INC 2019
Ultrafast Spintronics: Advanced Nanodevices - Jeff Bokor at INC 2019

IEEE-USA E-Books

  • Analysis of microangiography images using optical coherence tomography

    In this paper, we present an Optical Coherence Tomography (OCT) processing system to in vivo imaging of vascular remodeling of the skin. The main processing steps consist of vascular segmentation and vascular reconstruction. Firstly, image preprocessing algorithms, i. e., image enhancememt with mean filter and de-shadowing by projection-based strategies, are proposed for vascular segmentation. Then, morphological operators are employed to build a basic outline of vessels maps. Finally, the three-dimensional (3D) image of outlines is reconstructed and vessel diameter and capillary density is extracted for early diagnosis of microvascular disease. The results also show that the microcirculation maps of the skin can be generated by the proposed scheme successfully.

  • Research on common path OCT system's light source and interferometer module

    Optical light source is one of the most important factors of the common path optical coherence tomography (CPOCT) system. Not only the bandwidth of the light source determines the axis resolution of the CPOCT, the central wavelength of the light source also determines the measurement depth of the bio-sample. Generally speaking, the most important issue of selecting the light source of CPOCT is the following three factors: near infrared light, high irradiation and low coherence. Furthermore, in order to get the CPOCT signal, the optical path difference (OPD) of the reference arm and the signal arm should equal to zero. Compared with the traditional OCT system, the reference arm and the signal arm of the common path interferometer module INT- COM-1300 are exactly symmetrical, which overcomes the disadvantage of the traditional OCT system's separation structure of the reference arm and the signal arm. Based on this compact common path structure, the influence of the outside environment such as vibration and temperature change is greatly decreased and the volume of the CPOCT system is reduced.

  • Multiple instance learning for age-related macular degeneration diagnosis in optical coherence tomography images

    Age-related macular degeneration (AMD) is a major cause of irreversible blindness and loss of vision in people over 50 years old. Fluid (or cyst) regions such as intraretinal fluid (IRF), subretinal fluid (SRF), and sub- retinal pigment epithelium (sub-RPE), have different tissue appearance in Optical Coherence Tomography (OCT) images compared to normal retina tissue and are a defining feature of AMD. However, diagnosis of AMD requires an expert to go through every slice (B-scan) of the OCT volume to find whether it contains fluid. This is a tedious and time consuming task. In this paper, we proposed a new framework to help diagnosing AMD via automatically detecting the B-scan frames containing fluid regions. By converting each slice into a bag of features, we introduce multiple instance learning algorithm for the B-scan classification. Cross validation experiments show that the result of our framework have a good classification accuracy with F-measure above 0.85 and the multiple instance random forest algorithm we proposed outperforms other state-of-the-art algorithms.

  • Functional Fourier Domain Optical Coherence Tomography and its Applications

    Novel optical coherence tomography (OCT) systems with ultralong depth range, ultrawide lateral field, and ultrahigh axial resolution are developed, which envision new medical applications. Typical applications of structural and functional OCT are presented. As a depth-resolved optical imaging modality with the merits of non-destruction, high-resolution, and high-speed, OCT is promising for applications in variety areas.

  • Pixel Reconstruction For Speckle Reduction In 3D Optical Coherence Tomography Of Retina

    Speckle noise reduction in optical coherence tomography (OCT) is important for better visualization and analysis in retinal imaging. This paper proposes a novel pixel reconstruction based method to reduce speckle noise in 3D OCT of retina. In the proposed method, each pixel is estimated as the sum of a noise- free part and a noise part, which are solved by axial-scan based alignment and a low rank matrix completion algorithm. Evaluated in a data set of 20 volumes, results show that the proposed method effectively reduces the noise. The technology is beneficial and can be used in OCT machines.

  • Modeling of dispersion flattened chalcogenide double clad fibers for mid-infrared light generation

    The proper control of the chromatic dispersion in an optical fiber is one of the most important factors to enhance the nonlinear optical effect. Practically, a near-zero flattened chromatic dispersion is necessary to generate broadband supercontinuum (SC) generation and wideband parametric generation. Recent years, many researchers have demonstrated mid-infrared (MIR) SC and parametric generation in a chalcogenide fiber, because MIR light source has many applications, such as optical coherence tomography and metrology [1]. Chalcogenide glasses are the attractive candidate to obtain the MIR light because of a wide transmission window up to around 18 μm [2] and a high nonlinearity. One of the attractive fiber structures is microstructured optical fibers (MOFs) that can tailor chromatic dispersion in the MIR region. However, MOFs require high structural precision in both transverse and longitudinal directions to achieve a desired chromatic dispersion profiles. This will make it more difficult than all-solid fibres to fabricate desired fibers. Another advantage of all solid fibers is an availability of a combination of fiber materials. In this study, to gain the flexibility of structure design, we use chalcogenide double clad fiber (Ch-DCF) which is made of As2Se3, AsSe2, and As2S5 glasses.

  • Speckle noise reduction of optical coherence tomography images with a wavelet transform

    Optical coherence tomography (OCT) is a technique to investigate the microstructure of biological tissue non-invasively. OCT uses a low-coherence interferometry technique, and so the quality of OCT images is degraded by speckle noise which is inherent in coherent imaging. To remove the speckle noise, many methods have been proposed including hardware- and software-based methods. The latter approaches are flexible and easy to implement, and so many methods such as median filter, Wiener filter, and wavelet filter have been proposed. Of these, use of a wavelet filter is a powerful method to reduce the speckle noise, and this filter is often used in ultrasound images. The model of the speckle noise has a multiplicative nature, and conventional filtering methods are somewhat ineffective against this speckle noise. In 2003, we have developed a noise reduction method using a wavelet transform for radiographic images. In this paper, we applied the method to OCT images. The results of simulations showed that the speckle noise was reasonably reduced. And if we had only four frame images, the signal to noise ratio (S/N) was equivalent to that of averaged image using 32 frames. In addition, when we increased the number of processed images, we achieved the S/N of 24-25 dB.

  • Simultaneous reconstruction and restoration of sparsely sampled optical coherence tomography image through learning separable filters for deep architectures

    Spectral domain optical coherence tomography (SD-OCT) is widely employed across ophthalmology practices for visual investigation of live tissues. The involuntary movements of subjects frequently infuse motion artifacts to SD-OCT images. Sub-sampling of signals is introduced in imaging protocol to avoid such artifacts which causes fall in spatial resolution and peak signal to noise ratio (PSNR). Sparse coding (SC) is opted for restoration and rectification of complete signals from sparse samples through constructing complete and sparse space dictionaries independently. Convolutional neural networks (CNN) can be casted as SC for jointly learning dictionaries resulting less number of CNN filters (equivalence of SC dictionaries) to be trained. The proposed approach extends the separable filters to CNN through architectural constrain. This results in a parallel architecture and reduced number of parameters without compromising on performance. The approach scaled down trainable parameters by 46% with a trade-off of 0.108 PSNR during training and 0.107 PSNR during testing in comparison to conventional CNN.

  • Optical thin film inspection using parallel spectral domain optical coherence tomography

    The conventional Fourier domain optical coherence tomography system requires single scanner for two dimensional cross-sectional image and two scanners for volumetric image. Parallel spectral domain optical coherence tomography has advantage of single scanner for volumetric image, while two dimensional cross- sectional images are obtained by parallel acquisition of illuminated line on sample using area camera. In this study, the industrial inspection of optical thin film on touch screen panels was demonstrated using parallel spectral domain optical coherence tomography. The cross-sectional and volumetric images were acquired to detect the internal sub layer defects in optical thin film which are difficult to observe using visual or machine vision based inspection methods. The results indicate the possible application of the proposed system in touch screen panels inspection for quality assurance of product at consumer end.

  • Detection of diabetic macular edema in optical coherence tomography scans using patch based deep learning

    We propose a two step framework to automatically classify an OCT scan as indicative of Diabetic Macular Edema (DME) by detecting abnormal pathologies in OCT frames. The first step involves detection of candidate patches for fluid filled regions and hard exudates using image processing techniques. The second step is to predict a label for these candidate patches using deep convolutional neural network. In the final collation step, we aggregate the confidences of the CNN models and use a rule based method to predict the presence of DME.



Standards related to Optical Coherence Tomography

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