Accuracy Enhancement for Noninvasive Glucose Estimation Using Dual-Wavelength Photoacoustic Measurements and Kernel-Based Calibration

Pai, Praful P.; De, Arijit; Banerjee, Swapna

doi:10.1109/tim.2017.2761237

Cited by 45 publications

(25 citation statements)

References 49 publications

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“…The figures of merit, such as RMSE and CNR, were utilized extensively in the literature to assess the performance of the reconstructed image quality in PA imaging. 36,77,78,81 The task-based image quality metrics can better assess the reconstructed image quality, 91,92 but use of RMSE and CNR as metrics has been a common practice across tomographic problems. 36,77,78,81 As the main aim of this work has been to introduce a image-guided filter as a fast postprocessing step to improve the image characteristics of the reconstructed image, which was clearly demonstrated through numerical and experimental phantom as well as in-vivo cases, the other metrics were not considered.…”

Section: Resultsmentioning

confidence: 99%

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Image-guided filtering for improving photoacoustic tomographic image reconstruction

Awasthi¹,

Kalva

Pramanik

et al. 2018

J. Biomed. Opt.

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Several algorithms exist to solve the photoacoustic image reconstruction problem depending on the expected reconstructed image features. These reconstruction algorithms promote typically one feature, such as being smooth or sharp, in the output image. Combining these features using a guided filtering approach was attempted in this work, which requires an input and guiding image. This approach act as a postprocessing step to improve commonly used Tikhonov or total variational regularization method. The result obtained from linear backprojection was used as a guiding image to improve these results. Using both numerical and experimental phantom cases, it was shown that the proposed guided filtering approach was able to improve (as high as 11.23 dB) the signal-to-noise ratio of the reconstructed images with the added advantage being computationally efficient. This approach was compared with state-of-the-art basis pursuit deconvolution as well as standard denoising methods and shown to outperform them.

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Section: Resultsmentioning

confidence: 99%

“…The RMSE is a common metric for assessing the performance of reconstructed images in PAT 23,[77][78][79] and it is defined as follows:…”

Section: Root Mean Square Errormentioning

confidence: 99%

Image-guided filtering for improving photoacoustic tomographic image reconstruction

Awasthi¹,

Kalva

Pramanik

et al. 2018

J. Biomed. Opt.

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show abstract

“…RMSE is generally used to compare the reconstruction quality as an absolute metric and is defined as [47,48]:…”

Section: Root Mean Square Error (Rmse)mentioning

confidence: 99%

PA-Fuse: deep supervised approach for the fusion of photoacoustic images with distinct reconstruction characteristics

Awasthi¹,

Prabhakar²,

Kalva

et al. 2019

Biomed. Opt. Express

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The methods available for solving the inverse problem of photoacoustic tomography promote only one feature-either being smooth or sharp-in the resultant image. The fusion of photoacoustic images reconstructed from distinct methods improves the individually reconstructed images, with the guided filter based approach being state-of-the-art, which requires that implicit regularization parameters are chosen. In this work, a deep fusion method based on convolutional neural networks has been proposed as an alternative to the guided filter based approach. It has the combined benefit of using less data for training without the need for the careful choice of any parameters and is a fully data-driven approach. The proposed deep fusion approach outperformed the contemporary fusion method, which was proved using experimental, numerical phantoms and in-vivo studies. The improvement obtained in the reconstructed images was as high as 95.49% in root mean square error and 7.77 dB in signal to noise ratio (SNR) in comparison to the guided filter approach. Also, it was demonstrated that the proposed deep fuse approach, trained on only blood vessel type images at measurement data SNR being 40 dB, was able to provide a generalization that can work across various noise levels in the measurement data, experimental setups as well as imaging objects.

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“…People adhering to noninvasive will take blood glucose values directly by without pulling out the blood, this type of procedure makes the patient relaxed and encouraged to monitor the blood glucose at regular intervals, and even many times a day. According to the latest developments, an inter digital sensor has been used in applications using noninvasive procedures for characterization of liquids in terms examining conductivity and blood permittivity variations as a function of glucose concentration [20]. Such sensors have recently received an intensive attention in healthcare applications for continuous and real-time monitoring of physiological parameters and personal health of patients and non-patients.…”

Section: Design and Dimensional Measurement Ofmentioning

confidence: 99%

Design and Dimensional Measurement of Interdigital Sensor for Blood Glucose Measurement through Non-Invasive Method

Zaharudin*,

Mansor,

Zainuddin

et al. 2019

IJRTE

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Diabetes has shown to be a chronic disease world over, mainly caused due to reduced physical activity and increased obesity. World health organization statistics show diabetes as a leading cause of disability universally. To avoid extreme medical conditions of subjects, regular monitoring of their glucose levels has been suggested. The most common method that has been in use is the pinprick method for glucose monitoring which carries the risk of contamination as well as irritation. One possible approach called noninvasive technique can be adopted to avoid this major concern. This paper presents designing Inter-Digital-Sensor (IDS) for non-invasive sensing of the glucose level. The sensor-based chip once mounted onto the upper arm or pinkie finger of diabetes subject, is able to sense different glucose levels concentration as impedance plots. A set of several simulation results has been obtained using COMSOL for getting optimized dimensions of the sensor digits. This research has presented the generation of an electric field and intensity by using electrode of known length with element spacing varying from 250µm to 600µm developed over 15mm x 20mm sensor area. An ID of 475µm width spacing with ten (10) digits producing 2.33 pF of capacitance value with impedance resonating at 13 GHz of frequency is reported in this paper

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Accuracy Enhancement for Noninvasive Glucose Estimation Using Dual-Wavelength Photoacoustic Measurements and Kernel-Based Calibration

Cited by 45 publications

References 49 publications

Image-guided filtering for improving photoacoustic tomographic image reconstruction

Image-guided filtering for improving photoacoustic tomographic image reconstruction

PA-Fuse: deep supervised approach for the fusion of photoacoustic images with distinct reconstruction characteristics

Design and Dimensional Measurement of Interdigital Sensor for Blood Glucose Measurement through Non-Invasive Method

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