A highly customizable ultrasound research platform for clinical use with a software architecture for 2d-/3d-reconstruction and processing including closed-loop control

Hewener, Holger; Welsch, H.-J.; Günther, Christian; Fonfara, Heinrich; Tretbar, Steffen; Lemor, Robert

doi:10.1007/978-3-642-03879-2_97

Cited by 11 publications

(4 citation statements)

References 5 publications

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“…The use of advanced classification approaches is not possible with classical clinical sonography systems, as they do not provide access to radio frequent ultrasound data. Ultrasound systems for research applications such as the Vantage Ultrasound System (Verasonics, Inc. Redmond, WA, USA), the ULA-OP [ 5 ], the systems from the Technical University of Denmark [ 6 ] or the DiPhAS by Fraunhofer IBMT (Sulzbach, Germany) [ 7 ] provide access to this type of data, but are mostly not certified for clinical use, and more importantly, they are complex, bulky and costly devices. The latest generation of point of care ultrasound (POCUS) devices, such as the Butterfly iQ or Vscan [ 8 ] by GE has decreased the costs by an order of magnitude when compared to high-end sonography machines, and can be used in bedside settings due to their miniaturization.…”

Section: Introductionmentioning

confidence: 99%

Portable Ultrasound Research System for Use in Automated Bladder Monitoring with Machine-Learning-Based Segmentation

Fournelle

Grün

Speicher

et al. 2021

Sensors

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We developed a new mobile ultrasound device for long-term and automated bladder monitoring without user interaction consisting of 32 transmit and receive electronics as well as a 32-element phased array 3 MHz transducer. The device architecture is based on data digitization and rapid transfer to a consumer electronics device (e.g., a tablet) for signal reconstruction (e.g., by means of plane wave compounding algorithms) and further image processing. All reconstruction algorithms are implemented in the GPU, allowing real-time reconstruction and imaging. The system and the beamforming algorithms were evaluated with respect to the imaging performance on standard sonographical phantoms (CIRS multipurpose ultrasound phantom) by analyzing the resolution, the SNR and the CNR. Furthermore, ML-based segmentation algorithms were developed and assessed with respect to their ability to reliably segment human bladders with different filling levels. A corresponding CNN was trained with 253 B-mode data sets and 20 B-mode images were evaluated. The quantitative and qualitative results of the bladder segmentation are presented and compared to the ground truth obtained by manual segmentation.

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Section: Introductionmentioning

confidence: 99%

Portable Ultrasound Research System for Use in Automated Bladder Monitoring with Machine-Learning-Based Segmentation

Fournelle

Grün

Speicher

et al. 2021

Sensors

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“…All modern commercial scanners also offer internal real-time sampling of signals from the transducer and some have dedicated research interfaces [16], [17], [18], [19]. The basic idea is therefore to use this sampling capability to acquire the hydrophone signal while the actual imaging sequence is run.…”

Section: Introductionmentioning

confidence: 99%

Safety Assessment of Advanced Imaging Sequences I: Measurements

Jensen

Rasmussen

Pihl

et al. 2016

IEEE Trans. Ultrason., Ferroelect., Freq. Contr.

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Abstract-A method for rapid measurement of intensities (I spta ), mechanical index (MI), and probe surface temperature for any ultrasound scanning sequence is presented. It uses the scanner's sampling capability to give an accurate measurement of the whole imaging sequence for all emissions to yield the true distributions. The method is several orders of magnitude faster than approaches using an oscilloscope, and it also facilitates validating the emitted pressure field and the scanner's emission sequence software. It has been implemented using the experimental SARUS scanner and the Onda AIMS III intensity measurement system (Onda Corporation, Sunnyvale, CA, USA). Four different sequences have been measured: a fixed focus emission, a duplex sequence containing B-mode and flow emissions, a vector flow sequence with B-mode and flow emissions in 17 directions, and finally a synthetic aperture (SA) duplex flow sequence. A BK8820e (BK Medical, Herlev, Denmark) convex array probe is used for the first three sequences and a BK8670 linear array probe for the SA sequence. The method is shown to give the same intensity values within 0.24% of the AIMS III Soniq 5.0 (Onda Corporation, Sunnyvale, CA, USA) commercial intensity measurement program. The approach can measure and store data for a full imaging sequence in 3.8 to 8.2 s per spatial position. Based on I spta , MI, and probe surface temperature, the method gives the ability to determine whether a sequence is within US FDA limits, or alternatively indicate how to scale it to be within limits.

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“…To access raw ultrasound data, researchers have worked with ultrasound manufacturers to build custom ultrasound systems such as rasMUs [1], [2] and sarUs [3], but because of their size, these scanners are inaccessible in the clinic. There also exist some commercial or partially commercial ultrasound systems that target the research or original equipment manufacturing (oEM) market, i.e., oPEn [4], Verasonics [5], samplify, FEMMIna [6], and diPhas [7]. recently, several research interface platforms for clinical ultrasound scanners have been developed for systems such as Hitachi HiVision 5500 [8], siemens antares [9], Ultrasonix 500 [10], and Toshiba aplio.…”

mentioning

confidence: 99%

Implementation of a versatile research data acquisition system using a commercially available medical ultrasound scanner

Hemmsen

Nikolov²,

Pedersen³

et al. 2012

IEEE Trans. Ultrason., Ferroelect., Freq. Contr.

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Abstract-This paper describes the design and implementation of a versatile, open-architecture research data acquisition system using a commercially available medical ultrasound scanner. The open architecture will allow researchers and clinicians to rapidly develop applications and move them relatively easy to the clinic. The system consists of a standard PC equipped with a camera link and an ultrasound scanner equipped with a research interface. The ultrasound scanner is an easy-to-use imaging device that is capable of generating high-quality images. In addition to supporting the acquisition of multiple data types, such as B-mode, M-mode, pulsed Doppler, and color flow imaging, the machine provides users with full control over imaging parameters such as transmit level, excitation waveform, beam angle, and focal depth. Beamformed RF data can be acquired from regions of interest throughout the image plane and stored to a file with a simple button press. For clinical trials and investigational purposes, when an identical image plane is desired for both an experimental and a reference data set, interleaved data can be captured. This form of data acquisition allows switching between multiple setups while maintaining identical transducer, scanner, region of interest, and recording time. Data acquisition is controlled through a graphical user interface running on the PC. This program implements an interface for third-party software to interact with the application. A software development toolkit is developed to give researchers and clinicians the ability to utilize third-party software for data analysis and flexible manipulation of control parameters. Because of the advantages of speed of acquisition and clinical benefit, research projects have successfully used the system to test and implement their customized solutions for different applications. Three examples of system use are presented in this paper: evaluation of synthetic aperture sequential beamformation, transverse oscillation for blood velocity estimation, and acquisition of spectral velocity data for evaluating aortic aneurysms.

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A highly customizable ultrasound research platform for clinical use with a software architecture for 2d-/3d-reconstruction and processing including closed-loop control

Cited by 11 publications

References 5 publications

Portable Ultrasound Research System for Use in Automated Bladder Monitoring with Machine-Learning-Based Segmentation

Portable Ultrasound Research System for Use in Automated Bladder Monitoring with Machine-Learning-Based Segmentation

Safety Assessment of Advanced Imaging Sequences I: Measurements

Implementation of a versatile research data acquisition system using a commercially available medical ultrasound scanner

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