Relevant bibliographies by topics / Field-programmable gate array Medical image

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Field-programmable gate array Medical image'

Author: Grafiati
Published: 5 June 2025
Last updated: 16 July 2025

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Journal articles on the topic "Field-programmable gate array Medical image"

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Prakash, Marakumbi, and Bhairannawar Satish. "Efficient reconfigurable architecture to enhance medical image security." Efficient reconfigurable architecture to enhance medical image security 30, no. 3 (2023): 1516–24. https://doi.org/10.11591/ijeecs.v30.i3.pp1516-1524.

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Medical images are one of the most critical and sensitive types of data in information systems. For the secure storage and transfer of medical images, confidentiality is the most important aspect. This paper presents efficient embedding technique to enhance medical image security. The Gaussian filters are used as preprocessing to remove high frequency components and then applied to cumulative distribution function (CDF) 5/3 wavelet to obtain LL band features. Similarly, the LL band features of cover image are obtained. The alpha bending technique combines both the LL band features of cover and
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Ahmad, A., A. Amira, H. Rabah, and Y. Berviller. "Medical image denoising on field programmable gate array using finite Radon transform." IET Signal Processing 6, no. 9 (2012): 862–70. http://dx.doi.org/10.1049/iet-spr.2011.0392.

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Ch, Gangadhar, and Md Habibulla. "Lucas Algorithm for Medical Images Encryption and Transmission using Orthogonal Frequency Division Multiplexing for Medical Health Information Systems and its VLSI Realization." International Journal of Online and Biomedical Engineering (iJOE) 17, no. 06 (2021): 128. http://dx.doi.org/10.3991/ijoe.v17i06.23107.

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<p>Security of medical images is critical for transmission of medical images and relevant patient information through public health information systems networks. Image encryption is an important tool for protecting Medical images by converting them into unrecognisable formats for the transmission and receiption of medical images. This paper proposes an algorithm for medical image encryption using Lucas Algorithm, and a discrete wavelet transform based transmission and reception technique, which is known as orthogonal frequency division multiplexing(OFDM). This paper presents an implement
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Mo, Handong, Xinhong Zhou, and Chenglang L. "Design of a real-time image processing system based on FPGA." Advances in Engineering Innovation 9, no. 1 (2024): 63–67. http://dx.doi.org/10.54254/2977-3903/9/2024094.

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To enhance the real-time performance of image processing, effectively reduce video transmission bandwidth and storage space, and improve transmission efficiency, a real-time image processing system was designed using a Field Programmable Gate Array (FPGA). The system is mainly divided into image acquisition, image processing, and image display subsystems. Images are captured using a camera module and transmitted to the image processing module for processing, and finally displayed via an HDMI monitor. Measurements indicate that the system has strong real-time performance, low power consumption,
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Younis, Ahmed Khazal, Basma Mohammed Kamal Younis, and Mohammed Sabah Jarjees. "Hardware implementation of Sobel edge detection system for blood cells images-based field programmable gate array." Indonesian Journal of Electrical Engineering and Computer Science 26, no. 1 (2022): 86–95. https://doi.org/10.11591/ijeecs.v26.i1.pp86-95.

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The microscopic-blood image has been used to diagnose various diseases according to the morphological specifications of red and white blood cells. However, the manual analysis and procedures are not accurate due to the human error. Therefore, several studies conducted to find new techniques to perform this analysis using computer algorithms. The complexity of these algorithms led to thinking in simpler ways or to the hardware solutions. On the other hand, edge detection is a mathematical procedure that play an essential role in the field of medical image processing. It is considered as one of
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Baskaran, S., L. Mubark Ali, A. Anitharani, E. Annal Sheeba Rani, and N. Nandhagopal. "Pupil Detection System Using Intensity Labeling Algorithm in Field Programmable Gate Array." Journal of Computational and Theoretical Nanoscience 17, no. 12 (2020): 5364–67. http://dx.doi.org/10.1166/jctn.2020.9429.

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Pupil detection techniques are an essential diagnostic technique in medical applications. Pupil detection becomes more complex because of the dynamic movement of the pupil region and it’s size. Eye-tracking is either the method of assessing the point of focus (where one sees) or the orientation of an eye relative to the head. An instrument used to control eye positions and eye activity is the eye tracker. As an input tool for human-computer interaction, eye trackers are used in research on the visual system, in psychology, psycholinguistics, marketing, and product design. Eye detection is one
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Younis, Ahmed Khazal, Basma MohammedKamal Younis, and Mohammed Sabah Jarjees. "Hardware implementation of Sobel edge detection system for blood cells images-based field programmable gate array." Indonesian Journal of Electrical Engineering and Computer Science 26, no. 1 (2022): 86. http://dx.doi.org/10.11591/ijeecs.v26.i1.pp86-95.

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The microscopic-blood image has been used to diagnose various diseases according to the morphological specifications of red and white blood cells. <span lang="EN-US">However, the manual analysis and procedures are not accurate due to the human error. Therefore, several studies conducted to find new techniques to perform this analysis using computer algorithms. The complexity of these algorithms led to thinking in simpler ways or to the hardware solutions. On the other hand, edge detection is a mathematical procedure that play an essential role in the field of medical image processing. It
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Devasena, D., M. Jagadeeswari, and K. Srinivasan. "Development of Optimized Algorithm and Field Programmable Gate Array Implementation for Bio Medical Image Denoising for Health Informatics Applications." Journal of Medical Imaging and Health Informatics 11, no. 10 (2021): 2626–38. http://dx.doi.org/10.1166/jmihi.2021.3851.

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Denoising images is a most difficult task in applications for image processing. The image specifics are preserved and the additional sounds found in the images are removed. It is also a challenge to remove noise from medical and satellite images. It improves the diagnostic capacity of medical images and satellite images visual clarity. The noise in the images varies and its density varies depending on imaging techniques. The algorithms in the literature were suggested based on the noise density and the forms of noise. The aim of this paper is to eliminate the noise from ultrasound, magnetic re
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Marakumbi, Prakash, and Satish Bhairannawar. "Efficient reconfigurable architecture to enhance medical image security." Indonesian Journal of Electrical Engineering and Computer Science 30, no. 3 (2023): 1516. http://dx.doi.org/10.11591/ijeecs.v30.i3.pp1516-1524.

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Medical images are one of the most critical and sensitive types of data in information systems. For the secure storage and transfer of medical images, confidentiality is the most important aspect. This paper presents efficient embedding technique to enhance medical image security. The Gaussian filters are used as preprocessing to remove high frequency components and then applied to cumulative distribution function (CDF) 5/3 wavelet to obtain LL band features. Similarly, the LL band features of cover image are obtained. The alpha bending technique combines both the LL band features of cover and
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Mushtaq, Uzma, Osman Hasan, and Falah Awwad. "NoC-Based Implementation of Free Form Deformations in Medical Imaging Registration." Journal of Circuits, Systems and Computers 26, no. 04 (2016): 1750058. http://dx.doi.org/10.1142/s021812661750058x.

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These days, computer-based image registration techniques are increasingly being used in the area of medical imaging as they offer significant benefits for aligning different images together and for visualizing their combined images. However, these techniques require an enormous amount of computation time due to the high resolution and complex nature of the medical images. We propose to alleviate this problem by using a dedicated Network-on-Chip (NoC)-based hardware platform for image registration. This paper describes a novel technique for field-programmable gate array (FPGA) implementation of
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Dissertations / Theses on the topic "Field-programmable gate array Medical image"

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Afandi, Ahmad. "Efficient reconfigurable architectures for 3D medical image compression." Thesis, Brunel University, 2010. http://bura.brunel.ac.uk/handle/2438/7677.

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Recently, the more widespread use of three-dimensional (3-D) imaging modalities, such as magnetic resonance imaging (MRI), computed tomography (CT), positron emission tomography (PET), and ultrasound (US) have generated a massive amount of volumetric data. These have provided an impetus to the development of other applications, in particular telemedicine and teleradiology. In these fields, medical image compression is important since both efficient storage and transmission of data through high-bandwidth digital communication lines are of crucial importance. Despite their advantages, most 3-D m
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Donachy, Paul. "Design and implementation of a high level image processing machine using reconfigurable hardware." Thesis, Queen's University Belfast, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.337688.

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Rajagopalan, Kamal. "An FPGA architecture for improved arithmetic performance /." St. Lucia, Qld, 2001. http://www.library.uq.edu.au/pdfserve.php?image=thesisabs/absthe16460.pdf.

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De, la Cruz Juan Alberto. "Field-Programmable Gate Array Implementation of a Scalable Integral Image Architecture Based on Systolic Arrays." DigitalCommons@USU, 2011. https://digitalcommons.usu.edu/etd/854.

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The integral image representation of an image is important for a large number of modern image processing algorithms. Integral image representations can reduce computation and increase the operating speed of certain algorithms, improving real-time performance. Due to increasing demand for real-time image processing performance, an integral image architecture capable of accelerating the calculation based on the amount of available resources is presented. Use of the proposed accelerator allows for subsequent stages of a design to have data sooner and execute in parallel. It is shown here how, wit
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Raghavan, Anup Kumar. "JPG : a partial bitstream generation tool to support partial reconfiguration in Virtex FPGAs /." [St. Lucia, Qld.], 2004. http://www.library.uq.edu.au/pdfserve.php?image=thesisabs/absthe17691.pdf.

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Fetter, Bryan J. "Design recovery and implementation of the AYK-14 VHSIC processor module adapter with field programmable gate array technology." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2002. http://library.nps.navy.mil/uhtbin/hyperion-image/02Dec%5FFetter.pdf.

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Thesis (M.S. in Aeronautical Engineering)--Naval Postgraduate School, December 2002.<br>Thesis advisor(s): Russell W. Duren, Hersch Loomis. Includes bibliographical references (p. 199). Also available online.
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Kotteri, Kishore. "Optimal, Multiplierless Implementations of the Discrete Wavelet Transform for Image Compression Applications." Thesis, Virginia Tech, 2004. http://hdl.handle.net/10919/32491.

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<p>The use of the discrete wavelet transform (DWT) for the JPEG2000 image compression standard has sparked interest in the design of fast, efficient hardware implementations of the perfect reconstruction filter bank used for computing the DWT. The accuracy and efficiency with which the filter coefficients are quantized in a multiplierless implementation impacts the image compression and hardware performance of the filter bank. A high precision representation ensures good compression performance, but at the cost of increased hardware resources and processing time. Conversely, lower precision in
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Xu, Haifeng. "Digital Image Processing Algorithms Research Based on FPGA." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-91039.

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As we can find through the development of TV systems in America, the digital TV related digital broadcasting is just the road we would walk into. Nowadays digital television is prevailing in China, and the government is promoting the popularity of digital television. However, because of the economic development, analog television will still take its place in the TV market during a long period. But the broadcasting system has not been reformed, as a result, we should not only take use of the traditional analog system we already have, but also improve the quality of the pictures of analog system
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Kirioukhine, Guennadi. "Implementation of two-dimensional discrete cosine transform in xilinx field programmable gate array using flow-graph and distributed arithmetic techniques." Ohio : Ohio University, 2002. http://www.ohiolink.edu/etd/view.cgi?ohiou1174679848.

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Shaffer, Daniel Alan. "An FPGA Implementation of Large-Scale Image Orthorectification." University of Dayton / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1523624621509277.

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Book chapters on the topic "Field-programmable gate array Medical image"

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Krishnan, C. Gopala, Prasannavenkatesan Theerthagiri, and A. H. Nishan. "Cancerous or Non-Cancerous Cell Detection on a Field-Programmable Gate Array Medical Image Segmentation Using Xilinx System." In Society 5.0 and the Future of Emerging Computational Technologies. CRC Press, 2022. http://dx.doi.org/10.1201/9781003184140-10.

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Garzetti, Fabio. "Ultra-High Performance Digital Electronic Architectures for Events Management in Real Time Environments." In Special Topics in Information Technology. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-15374-7_5.

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AbstractThe research spans several application areas, including biotechnology, medical imaging, and environmental monitoring. Precise and specialized processing techniques are often required for measurements of signal parameters with high efficiency, for example, in terms of resolution and count rate, such as time of occurrence of events. Digital solutions have thus received the most significant attention since they are the most effective at enabling flexible, application-oriented elaboration systems. The research is finalized to develop high-resolution time measurement systems in Field Programmable Gate Array (FPGA) devices. The goal is to optimize resolution, linearity, and processing speed at the state-of-the-art in modern, most dynamic branches of very high-efficiency time measurement. To maximize the number of events handled in real-time, the research is also concentrated on developing cutting-edge communication and data transfer methods for performing multiple measures in parallel.
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Prasada Rao Borra, Surya, Rajesh K. Panakala, and Pullakura Rajesh Kumar. "VLSI Implementation of Medical Image Fusion Using DWT-PCA Algorithms." In Field Programmable Gate Arrays (FPGAs) II. IntechOpen, 2020. http://dx.doi.org/10.5772/intechopen.91298.

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D’Hollander, Erik H. "Empowering Parallel Computing with Field Programmable Gate Arrays." In Parallel Computing: Technology Trends. IOS Press, 2020. http://dx.doi.org/10.3233/apc200020.

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After more than 30 years, reconfigurable computing has grown from a concept to a mature field of science and technology. The cornerstone of this evolution is the field programmable gate array, a building block enabling the configuration of a custom hardware architecture. The departure from static von Neumann-like architectures opens the way to eliminate the instruction overhead and to optimize the execution speed and power consumption. FPGAs now live in a growing ecosystem of development tools, enabling software programmers to map algorithms directly onto hardware. Applications abound in many directions, including data centers, IoT, AI, image processing and space exploration. The increasing success of FPGAs is largely due to an improved toolchain with solid high-level synthesis support as well as a better integration with processor and memory systems. On the other hand, long compile times and complex design exploration remain areas for improvement. In this paper we address the evolution of FPGAs towards advanced multi-functional accelerators, discuss different programming models and their HLS language implementations, as well as high-performance tuning of FPGAs integrated into a heterogeneous platform. We pinpoint fallacies and pitfalls, and identify opportunities for language enhancements and architectural refinements.
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Gil-Costa, Veronica, Romina Soledad Molina, Ricardo Petrino, Carlos Federico Sosa Paez, A. Marcela Printista, and Julio Daniel Dondo Gazzano. "Hardware Acceleration of CBIR System with FPGA-Based Platform." In Field-Programmable Gate Array (FPGA) Technologies for High Performance Instrumentation. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-5225-0299-9.ch007.

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Typical applications involving image retrieval processes demand a great amount of computation. The visual content of the images is extracted and represented by means of descriptor vectors of multidimensional characteristics. The image retrieval process consists of two tasks: (1) generation of database and indexing; and (2) the search process. The first task involves the construction of descriptor vectors. Then, an index is built upon the database to speed the search process. The second requires calculating a descriptor vector for the query image and computes the similarity search with the ones stored in the index. In this context, it is relevant to devise new algorithms and different parallel platforms that can reduce execution times. In particular, this work focuses on platforms with FPGAs based SoCs to present and evaluate a two stage system where the index is constructed off-line and the similarity search is executed on-line. Results show that the FPGA is 73% faster than a 2 Quad CPU to compute the descriptor vector of an image when using the Color Layout Descriptor of MPEG-7.
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Wang, Ming-Shi, and Chien-En Kao. "Field-programmable gate array implementation of image dehazing system using convolutional neural network." In Engineering Innovation and Design. CRC Press, 2019. http://dx.doi.org/10.1201/9780429019777-15.

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Yi Qian. "Implementation of Simplified Optical Flow Field Algorithm Based on FPGA." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2018. https://doi.org/10.3233/978-1-61499-927-0-730.

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In view of the problem that embedded software cannot meet the real-time processing speed of digital image, the idea of hardware accelerator is proposed to realize the optical flow field target detection algorithm on Field Programmable Gate Array (FPGA). By parallel processing data and pipeline design, the processing speed of algorithm is greatly improved. The modular hardware design method is adopted to ensure the portability and scalability of the system. Finally, the algorithm is processed by verilog programming, and is simulated and verified on ZedBoard.
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Kumar, Satrughan, Munish Kumar, Yashwant Kurmi, Soumya Ranjan Mahapatro, and Sumit Gupta. "Neuromorphic Computing on FPGA for Image Classification Using QNN (Quantized Neural Network)." In Advances in Computational Intelligence and Robotics. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-6303-4.ch002.

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Emulating the neuronal architecture of the brain, neuromorphic computing improves efficiency and speed for AI activities such as classification of images and other uses.We employed quantized neural networks (QNNs) to perform image classification tasks by integrating neuromorphic computing with field-programmable gate array (FPGA) technology. Quantized models provide reduced computational requirements and enhanced operational speed on FPGAs. At first, the RESNET (Residual Neural Network) is trained and fine-tuned using the transfer learning approach. By employing the uniform quantization process, the data is converted into a QNN (quantized neural network). The quantized model is matched to FPGA capabilities via customized units and interconnects. The implementation is validated against the original model, and empirical evidence shows that it outperforms existing image classification tasks in accuracy.
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Mariappan, Ramasamy, and Anitha Arumalla. "Field programmable gate array implementation of MRI image segmentation for brain tumor detection and classification using a deep learning algorithm." In Advances in Image and Data Processing using VLSI Design, Volume 2. IOP Publishing, 2022. http://dx.doi.org/10.1088/978-0-7503-3923-0ch10.

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Lian, Chenglong, Yanbing Xue, Xiaojie Li, Panshi Hu, and Chong Feng. "Optimization and FPGA Implementation of RANSAC Algorithm Based on HLS." In Advances in Transdisciplinary Engineering. IOS Press, 2024. http://dx.doi.org/10.3233/atde240473.

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With the rapid development of artificial intelligence technology, research on autonomous driving technology is becoming increasingly popular. In the autonomous driving panoramic imaging system, it is necessary to use image stitching technology to perform real-time stitching of image information collected by multiple cameras around the vehicle body. Therefore, requirements for image data processing include large data volume, high speed, and low power consumption. The parallel computing characteristics of Field Programmable Gate Array (FPGA) can accelerate key image stitching algorithms. This article focuses on hardware acceleration of the RANSAC (Random Sample Consensus) algorithm in image stitching. The algorithm is designed in parallel using high-level synthesis (HLS) technology and optimized accordingly to find a suitable method for algorithm optimization. Comparing the FPGA algorithm circuit with the Open CV algorithm program, the hardware running time of the algorithm is only 2.816ms, and the processing speed is 38 times faster than the latter. The RANSAC algorithm implemented by FPGA meets the requirements of real-time image processing and can be applied in real-time image stitching systems.
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Conference papers on the topic "Field-programmable gate array Medical image"

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Witek, K., M. Caccia, W. Kucewicz, and Ł. Mik. "Development of an 18-Picosecond Resolution, 64-Channel TDC, embedded in a Xilinx Field-Programmable Gate Array." In 2024 IEEE Nuclear Science Symposium (NSS), Medical Imaging Conference (MIC) and Room Temperature Semiconductor Detector Conference (RTSD). IEEE, 2024. http://dx.doi.org/10.1109/nss/mic/rtsd57108.2024.10654931.

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Olson, Zach. "SS-OCT and FD-OCT System Prototyping Using LabVIEW FPGA." In ASME 2011 6th Frontiers in Biomedical Devices Conference. American Society of Mechanical Engineers, 2011. http://dx.doi.org/10.1115/biomed2011-66007.

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Optical coherence tomography (OCT) techniques have opened up a number of new medical imaging applications in research and clinical applications. Key application areas include cancer research, vascular applications such as imaging arterial plaque, and ophthalmology applications such as pre and post-operative cataract surgery imaging. Emerging Technologies in galvo control, light sources, detector technologies, and parallel hardware-based processing are increasing the quality and performance of images, as well as reducing the cost and footprint of OCT systems. The parallel computing capabilities
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Olson, Zach. "Advancing Medical Technology Using FPGAs." In ASME 2010 5th Frontiers in Biomedical Devices Conference. American Society of Mechanical Engineers, 2010. http://dx.doi.org/10.1115/biomed2010-32028.

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Field Programmable Gate Arrays (FPGAs) have dramatically changed the design of medical devices in the past decade. FPGAs offer the flexibility of writing software on a standard microprocessor and the reliability and performance of dedicated hardware. In the design of medical devices that previously required the rigorous design of custom circuits or ASIC design, FPGAs are providing a good alternative at a much lower cost for low to mid-volume medical device design. In this session, we will explore how FPGAs relate to medical device technology including real-time processing of data, high perform
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Mao, Xinrong, and Kaiming Liu. "Image Correction Based on Field-Programmable Gate Array." In SSPS 2020: 2020 2nd Symposium on Signal Processing Systems. ACM, 2020. http://dx.doi.org/10.1145/3421515.3421530.

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Somashekar, Venupriya, and K. Ravindranath. "Low Power Techniques for Field Programmable Gate Array." In Second International Conference on Signal Processing, Image Processing and VLSI. Research Publishing Services, 2015. http://dx.doi.org/10.3850/978-981-09-6200-5_12.

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Andini, Dianthika Puteri, Gunawan Sugiarta, Feni Isdaryani, and Fadhel Muhammad Hafidh. "Image Processing Implementation on the Field Programmable Gate Array." In 2nd International Seminar of Science and Applied Technology (ISSAT 2021). Atlantis Press, 2021. http://dx.doi.org/10.2991/aer.k.211106.079.

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Yang, Yan, Jin Shen, Wei Liu, and Yanting Cheng. "Digital Real-Time Correlator Implemented by Field Programmable Gate Array." In 2008 Congress on Image and Signal Processing. IEEE, 2008. http://dx.doi.org/10.1109/cisp.2008.16.

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Nong, Mohd Ali Mat, Rosiah Osman, Juraina Md Yusof, and Roslina Sidek. "Real time motorcycle image detections on field programmable gate array." In 2015 IEEE Regional Symposium on Micro- and Nanoelectronics (RSM). IEEE, 2015. http://dx.doi.org/10.1109/rsm.2015.7354961.

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Tang, Bowen, and Kiyofumi Tanaka. "An Efficient Real-Time Pitch Correction System via Field-Programmable Gate Array." In IVSP 2024: 2024 6th International Conference on Image, Video and Signal Processing. ACM, 2024. http://dx.doi.org/10.1145/3655755.3655775.

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Hao, Zhenzhong, Yao Yu, and Jing Sun. "Optimization and Implementation of Image Defogging Algorithm Based on Field Programmable Gate Array." In 2023 3rd International Conference on Computer Science and Blockchain (CCSB). IEEE, 2023. http://dx.doi.org/10.1109/ccsb60789.2023.10398795.

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