Target detection in diagnostic ultrasound: Evaluation of a method based on the CLEAN algorithm

Masoom, Hassan; Adve, Raviraj; Cobbold, R.S.C.

doi:10.1016/j.ultras.2012.06.016

Cited by 7 publications

(5 citation statements)

References 34 publications

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“…Prior studies have revealed that sensor fusion techniques also improve the overall accuracy and efficiency as well as reduce the data-level and system-level redundancy of multi-sensor-based systems [167,168]. Sensor fusion is being widely utilized in a wide array of applications, ranging from medical diagnostics [169], aerospace [170], plant inspection, and high-precision manufacturing [171,172] to remote sensing [173] and the NDE of civil infrastructures [37,168]. One of the various functions of sensor fusion is to ensure that the data from multiple sources can be combined together to facilitate appropriate analyses, leading to the enhanced efficiency and effectiveness of the deployed practical systems [174,175].…”

Section: Multi-sensor Systemsmentioning

confidence: 99%

Review of Non-Destructive Civil Infrastructure Evaluation for Bridges: State-of-the-Art Robotic Platforms, Sensors and Algorithms

Ahmed

Gucunski

2020

Sensors

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The non-destructive evaluation (NDE) of civil infrastructure has been an active area of research in recent decades. The traditional inspection of civil infrastructure mostly relies on visual inspection using human inspectors. To facilitate this process, different sensors for data collection and techniques for data analyses have been used to effectively carry out this task in an automated fashion. This review-based study will examine some of the recent developments in the field of autonomous robotic platforms for NDE and the structural health monitoring (SHM) of bridges. Some of the salient features of this review-based study will be discussed in the light of the existing surveys and reviews that have been published in the recent past, which will enable the clarification regarding the novelty of the present review-based study. The review methodology will be discussed in sufficient depth, which will provide insights regarding some of the primary aspects of the review methodology followed by this review-based study. In order to provide an in-depth examination of the state-of-the-art, the current research will examine the three major research streams. The first stream relates to technological robotic platforms developed for NDE of bridges. The second stream of literature examines myriad sensors used for the development of robotic platforms for the NDE of bridges. The third stream of literature highlights different algorithms for the surface- and sub-surface-level analysis of bridges that have been developed by studies in the past. A number of challenges towards the development of robotic platforms have also been discussed.

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Section: Multi-sensor Systemsmentioning

confidence: 99%

Review of Non-Destructive Civil Infrastructure Evaluation for Bridges: State-of-the-Art Robotic Platforms, Sensors and Algorithms

Ahmed

Gucunski

2020

Sensors

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“…Therefore, it is important to reduce the maintenance-related outage cost (USD 35 per second USD 3M per outage) by accelerating the tools' inspection. Different Non-Destructive Testing (NDT) methods have been proposed in the literature to perform tool inspection based on different scanning technologies [4,5]: thermography imaging, radiography techniques, ultrasonic probes, etc. Computerized Tomography (CT) imaging is one of the emerging NDT technologies that has been used in different applications: quality control [6,7], quantitative material analysis [8,9], medicine [10,11], and geosciences [12].…”

Section: Introductionmentioning

confidence: 99%

CTIMS: Automated Defect Detection Framework Using Computed Tomography

et al. 2022

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Non-Destructive Testing (NDT) is one of the inspection techniques used in industrial tool inspection for quality and safety control. It is performed mainly using X-ray Computed Tomography (CT) to scan the internal structure of the tools and detect the potential defects. In this paper, we propose a new toolbox called the CT-Based Integrity Monitoring System (CTIMS-Toolbox) for automated inspection of CT images and volumes. It contains three main modules: first, the database management module, which handles the database and reads/writes queries to retrieve or save the CT data; second, the pre-processing module for registration and background subtraction; third, the defect inspection module to detect all the potential defects (missing parts, damaged screws, etc.) based on a hybrid system composed of computer vision and deep learning techniques. This paper explores the different features of the CTIMS-Toolbox, exposes the performance of its modules, compares its features to some existing CT inspection toolboxes, and provides some examples of the obtained results.

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“…The constant false alarm rate method was also introduced to detect a target in an ultrasound image with speckle. 34) The wavelet transform is often used for speckle reduction in medical ultrasonic imaging. There are various wavelet-based methods, such as thresholding methods, 35) coefficients correlation methods, 36) and Bayesian estimation methods.…”

Section: Introductionmentioning

confidence: 99%

Singular value decomposition filter for speckle reduction in adaptive ultrasound imaging

Hasegawa

Nagaoka

2019

Jpn. J. Appl. Phys.

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Various adaptive beamforming methods have been developed recently for improvement of image quality in medical ultrasonic imaging. Such adaptive beamformers improve the spatial resolution and contrast, but often degrade the contrast-to-noise ratio (CNR) because speckles are wellresolved owing to improvement in the spatial resolution. For improvement of CNR, speckle reduction techniques are required. However, a typical smoothing filter, such as a Gaussian filter, blurs the boundary between different structures in an ultrasonic image. In the present study, a filter based on singular value decomposition was developed for improvement in CNR, while the sharpness of the boundary between different stucutures is preserved. The proposed method was evaluated by a basic experiment using a phantom with an anechoic cyst region. The CNR was improved from 2.93 to 11.06 dB by the proposed method.

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Target detection in diagnostic ultrasound: Evaluation of a method based on the CLEAN algorithm

Cited by 7 publications

References 34 publications

Review of Non-Destructive Civil Infrastructure Evaluation for Bridges: State-of-the-Art Robotic Platforms, Sensors and Algorithms

Review of Non-Destructive Civil Infrastructure Evaluation for Bridges: State-of-the-Art Robotic Platforms, Sensors and Algorithms

CTIMS: Automated Defect Detection Framework Using Computed Tomography

Singular value decomposition filter for speckle reduction in adaptive ultrasound imaging

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