Super-Resolved Ultrasound Echo Spectra With Simultaneous Localization Using Parametric Statistical Estimation

Diamantis, Konstantinos; Dermitzakis, Aris; Hopgood, James R.; Sboros, Vassilis

doi:10.1109/access.2018.2807807

Cited by 8 publications

(2 citation statements)

References 44 publications

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“…The normalized sharpness method, similar to the techniques related to the lateral [35] or frequency [36] resolution, may add to the existing super-resolution methods. Current super-resolution ultrasound is heavily based on image processing.…”

Section: Discussionmentioning

confidence: 99%

Development of Super-Resolution Sharpness-Based Axial Localization for Ultrasound Imaging

et al. 2019

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Super-resolution ultrasound mostly uses image-based methods for the localization of single scatterers. These methods are largely based on the center of mass (COM) calculation. Sharpness-based localization is an alternative to COM for scatterer localization in the axial direction. Simulated ultrasound point scatterer data (center frequency f 0 = 7 MHz and wavelength λ = 220 µm) showed that the normalized sharpness method can provide scatterer axial localization with an accuracy down to 2 µm (<0.01λ), which is a two-order of magnitude improvement compared to that achievable by the conventional imaging (≈λ), and a five-fold improvement compared to the COM estimate (≈10 µm or 0.05λ). Similar results were obtained experimentally using wire-target data acquired by the Synthetic Aperture Real-time Ultrasound System. The performance of the proposed method was also found to be consistent across different types of ultrasound transmission. The localization precision deteriorates in the presence of noise, but even in very low signal-tonoise ratio (SNR = 0 dB), the uncertainty was not higher than 6 µm, which outperforms the COM estimate. The method can be implemented in image data as well as by using the raw signals. It is proposed that the signal-derived localization should replace the image-based equivalent, as it provides at least 10 times improved accuracy. INDEX TERMS Axial localization, center of mass, multiple focusing, normalized sharpness, superresolution ultrasound.

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Section: Discussionmentioning

confidence: 99%

Development of Super-Resolution Sharpness-Based Axial Localization for Ultrasound Imaging

et al. 2019

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“…It is not suitable for narrow environments, such as in the gastrointestinal tract. Ultrasound-based methods [14,15] have been widely used in the biomedical area, but their accuracy is limited due to speed-of-sound variations in human tissue. Medical imaging methods [16,17] have used images from the endoscope to do localizations, but they depend on the accuracy of the sample before the test, and the matching of image features is difficult to achieve.…”

Section: Introductionmentioning

confidence: 99%

A Novel Relative Position Estimation Method for Capsule Robot Moving in Gastrointestinal Tract

Wang

Shi

Song

et al. 2019

Sensors

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Recently, a variety of positioning and tracking methods have been proposed for capsule robots moving in the gastrointestinal (GI) tract to provide real-time unobstructed spatial pose results. However, the current absolute position-based result cannot match the GI structure due to its unstructured environment. To overcome this disadvantage and provide a proper position description method to match the GI tract, we here present a relative position estimation method for tracking the capsule robot, which uses the moving distance of the robot along the GI tract to indicate the position result. The procedure of the proposed method is as follows: firstly, the absolute position results of the capsule robot are obtained with the magnetic tracking method; then, the moving status of the robot along the GI tract is determined according to the moving direction; and finally, the movement trajectory of the capsule robot is fitted with the Bézier curve, where the moving distance can then be evaluated using the integral method. Compared to state-of-the-art capsule tracking methods, the proposed method can directly help to guide medical instruments by providing physicians the insertion distance in patients’ bodies, which cannot be done based on absolute position results. Moreover, as relative distance information was used, no reference tracking objects needed to be mounted onto the human body. The experimental results prove that the proposed method achieves a good distance estimation of the capsule robot moving in the simulation platform.

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Dynamic IFFSM Modeling Using IFHMM-Based Bayesian Non-parametric Learning for Energy Disaggregation in Smart Solar Home System

Zaouali

Ammari

Chouaieb

et al. 2019

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Super-Resolved Ultrasound Echo Spectra With Simultaneous Localization Using Parametric Statistical Estimation

Cited by 8 publications

References 44 publications

Development of Super-Resolution Sharpness-Based Axial Localization for Ultrasound Imaging

Development of Super-Resolution Sharpness-Based Axial Localization for Ultrasound Imaging

A Novel Relative Position Estimation Method for Capsule Robot Moving in Gastrointestinal Tract

Dynamic IFFSM Modeling Using IFHMM-Based Bayesian Non-parametric Learning for Energy Disaggregation in Smart Solar Home System

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