Results 271 to 280 of about 5,109 (308)
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Clinical Radiology, 2019
To retrospectively compare sensitivity encoding (SENSE) and compressed sensing-sensitivity encoding (CS-SENSE) for high resolution (HR) cranial nerve magnetic resonance imaging (MRI) in a clinical population.Twenty consecutive patients who were clinically suspected of neurovascular compression syndrome (NVCS) were enrolled in this study.
S J, Cho +4 more
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To retrospectively compare sensitivity encoding (SENSE) and compressed sensing-sensitivity encoding (CS-SENSE) for high resolution (HR) cranial nerve magnetic resonance imaging (MRI) in a clinical population.Twenty consecutive patients who were clinically suspected of neurovascular compression syndrome (NVCS) were enrolled in this study.
S J, Cho +4 more
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MIM-CS: Message Importance Measure for Compressed Sensing
2021 IEEE International Mediterranean Conference on Communications and Networking (MeditCom), 2021Yuchen Shi +3 more
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Physica Medica, 2016
In this work, we propose a practical method that can combine the two functionalities of dental panoramic and cone-beam CT (CBCT) features in one by using a single panoramic detector. We implemented a CS-based reconstruction algorithm for the proposed method and performed a systematic simulation to demonstrate its viability for 3D dental X-ray imaging ...
U K, Je +11 more
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In this work, we propose a practical method that can combine the two functionalities of dental panoramic and cone-beam CT (CBCT) features in one by using a single panoramic detector. We implemented a CS-based reconstruction algorithm for the proposed method and performed a systematic simulation to demonstrate its viability for 3D dental X-ray imaging ...
U K, Je +11 more
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Computer Methods and Programs in Biomedicine, 2017
Digital tomosynthesis (DTS) based on filtered-backprojection (FBP) reconstruction requires a full field-of-view (FOV) scan and relatively dense projections, which results in high doses for medical imaging purposes. To overcome these difficulties, we investigated region-of-interest (ROI) or interior DTS reconstruction where the x-ray beam span covers ...
Soyoung Park +12 more
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Digital tomosynthesis (DTS) based on filtered-backprojection (FBP) reconstruction requires a full field-of-view (FOV) scan and relatively dense projections, which results in high doses for medical imaging purposes. To overcome these difficulties, we investigated region-of-interest (ROI) or interior DTS reconstruction where the x-ray beam span covers ...
Soyoung Park +12 more
openaire +2 more sources
2018
One important research point of compressive sensing (CS) is to restore a high-dimensional signal as completely as possible from its compressed form, which has much lower dimensionality than the original. Several methods have been employed to this end, including traditional iterative methods as well as recurrent approaches based on deep learning.
Wentao Wan 0001 +2 more
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One important research point of compressive sensing (CS) is to restore a high-dimensional signal as completely as possible from its compressed form, which has much lower dimensionality than the original. Several methods have been employed to this end, including traditional iterative methods as well as recurrent approaches based on deep learning.
Wentao Wan 0001 +2 more
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2018
A hybrid compression method based on compressive sensing (CS) theory proposed for various biometric data and biomedical data in this paper. The data compression method is designed using CS theory, discrete cosine transform (DCT), discrete wavelet transform (DWT), and singular value decomposition (SVD). In this method, first DCT and then DWT are applied
Rohit Thanki +2 more
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A hybrid compression method based on compressive sensing (CS) theory proposed for various biometric data and biomedical data in this paper. The data compression method is designed using CS theory, discrete cosine transform (DCT), discrete wavelet transform (DWT), and singular value decomposition (SVD). In this method, first DCT and then DWT are applied
Rohit Thanki +2 more
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Radiological Physics and Technology
This study aimed to compare the relationship between the quantitative values and visual score of acquired images using the CS-SENSE method. T1-weighted image (T1WI) and T2-weighted image (T2WI) were acquired using a phantom created by a 3D printer.
Norikazu Koori +12 more
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This study aimed to compare the relationship between the quantitative values and visual score of acquired images using the CS-SENSE method. T1-weighted image (T1WI) and T2-weighted image (T2WI) were acquired using a phantom created by a 3D printer.
Norikazu Koori +12 more
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Deep Seismic CS: A Deep Learning Assisted Compressive Sensing for Seismic Data
IEEE Transactions on Geoscience and Remote Sensing, 2023Naveed Iqbal 0001 +3 more
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Compressive Sensing (CS) on Wireless Sensor Network for Manufacturing Process Monitoring
2023 International Conference on Artificial Intelligence Robotics, Signal and Image Processing (AIRoSIP), 2023Muhammad Chaerullah +2 more
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