A new imaging technique based on the nonlinear properties of tissues

Averkiou, Michalakis A.; Roundhill, David; Powers, Jeff

doi:10.1109/ultsym.1997.663294

Cited by 143 publications

(100 citation statements)

References 6 publications

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“…Developments in transducer design have resulted in transducers with greater bandwidth and sensitivity (Averkiou et al 1997). Broadband transducers allow large bandwidth pulses to be generated, which is vital for pulse inversion tissue harmonic imaging and also leads to improvements in axial resolution.…”

Section: Introductionmentioning

confidence: 99%

Objective measurements of image quality

Browne

Watson

Gibson

et al. 2004

Ultrasound in Medicine & Biology

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Abstract:Tissue harmonic imaging (THI) and compound imaging have been reported clinically to improve contrast resolution, tissue differentiation and overall image quality.However, there have been limited studies to date to quantify objectively the improvements in image quality achieved with these new imaging techniques. The aim of this study was to quantify differences in image quality which exist between conventional Bmode imaging, harmonic imaging, compound imaging and harmonic compound imaging. An ATL HDI 5000 scanner with three probes (C52, L74 and L125) was tested with two different types of test object, the GammexRMI model 404 GS LE and the GammexRMI 403 GS LE. The measurement limitations associated with subjective analysis methods were not present in this study, since an automated image analysis program was used to determine the image quality parameters therefore, subtle differences between the four imaging modes could be detected. Significant improvements in lateral resolution and slice thickness as a function of depth were found with THI. Contrast resolution and anechoic target detection improved with compound imaging, while harmonic compound imaging improved lateral resolution, slice thickness as a function of depth and contrast resolution. (Email: Jacinta.browne@northglasgow.scot.nhs.uk) 2

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Section: Introductionmentioning

confidence: 99%

Objective measurements of image quality

Browne

Watson

Gibson

et al. 2004

Ultrasound in Medicine & Biology

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“…Hence, the improvement of ultrasound techniques will benefit a large group of patients and health care workers. Tissue harmonic imaging (THI) is an ultrasound technique that improves image resolution and contrast and provides gray-scale imaging with fewer artifacts (Averkiou et al 1997;Tranquart et al 1999;Ward et al 1997). Combining conventional ultrasound algorithms with THI is therefore a standard method to improve the image quality of gray-scale imaging (Desser and Jeffrey 2001;Hann et al 1999;Shapiro et al 1998;Tranquart et al 1999).…”

Section: Introductionmentioning

confidence: 99%

Clinical Evaluation of Synthetic Aperture Harmonic Imaging for Scanning Focal Malignant Liver Lesions

Brandt

Hemmsen

Hansen

et al. 2015

Ultrasound in Medicine & Biology

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Abstract-The purpose of the study was to perform a clinical comparison of synthetic aperture sequential beamforming tissue harmonic imaging (SASB-THI) sequences with a conventional imaging technique, dynamic receive focusing with THI (DRF-THI). Both techniques used pulse inversion and were recorded interleaved using a commercial ultrasound system (UltraView 800, BK Medical, Herlev, Denmark). Thirty-one patients with malignant focal liver lesions (confirmed by biopsy or computed tomography/magnetic resonance) were scanned. Detection of malignant focal liver lesions and preference of image quality were evaluated blinded off-line by eight radiologists. In total, 2,032 evaluations of 127 image sequences were completed. The sensitivity (77% SASB-THI, 76% DRF-THI, p 5 0.54) and specificity (71% SASB-THI, 72% DRF-THI, p 5 0.67) of detection of liver lesions and the evaluation of image quality (p 5 0.63) did not differ between SASB-THI and DRF-THI. This study indicates the ability of SASB-THI in a true clinical setting.

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“…The use of harmonic imaging in ultrasound has become popular because of the improvement it offers in terms of axial and lateral resolution with respect to standard B-mode imaging [1]. The new modality exploits the nonlinear propagation of ultrasound waves in human tissues, yielding the presence of significant harmonics in the ultrasound echoes, which can be selected on the receiver.…”

Section: Introductionmentioning

confidence: 99%

Simulation of ultrasound nonlinear propagation on GPU using a generalized angular spectrum method

Varray

Cachard

Ramalli

et al. 2011

J Image Video Proc.

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Acoustic simulation has always played an important role in the development of new ultrasound imaging techniques. In nonlinear ultrasound imaging particularly, the simulators are accurate but time-consuming, because of the high derivative order of the propagation equation and to the classic solution based on finite difference schemes. This article presents a fast 3D + t nonlinear ultrasound simulator, based on a generalized angular spectrum method, particularly fit for the graphics processing unit (GPU). Indeed, the Fourier domain approach decreases the derivative order of the propagation, thus significantly speeding up the simulation time. The simulator was implemented and optimized on a central processing unit (CPU) and a GPU, respectively. The processing times measured on two different graphic cards show that, compared to the CPU, GPU-based implementation is 3.5-13.6 times faster.

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A new imaging technique based on the nonlinear properties of tissues

Cited by 143 publications

References 6 publications

Objective measurements of image quality

Objective measurements of image quality

Clinical Evaluation of Synthetic Aperture Harmonic Imaging for Scanning Focal Malignant Liver Lesions

Simulation of ultrasound nonlinear propagation on GPU using a generalized angular spectrum method

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