Real-time ultrasound simulation using the GPU

Gjerald, Sjur Urdson; Brekken, Reidar; Hergum, T.; D'hooge, Jan

doi:10.1109/ultsym.2011.0063

Cited by 4 publications

(3 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The only inputs needed are the field point and source point properties. Examples of other simulators implemented using GPU computing includes [6] and [7]. The first simulates 3D pressure fields at high speeds using a fast near field method, and the latter is capable of simulating ultrasound images in real time using convolution and an assumption of a shift-invariant imaging system.…”

Section: Introductionmentioning

confidence: 99%

Huygens on speed: Interactive simulation of ultrasound pressure fields

Åsen

Holm

2012

2012 IEEE International Ultrasonics Symposium

View full text Add to dashboard Cite

The introduction of graphics processing unit (GPU) computing has made it possible to speed up computationally demanding algorithms. One of these algorithms is the calculation of pressure fields from acoustic transducers. Here, the execution time often limits the number of elements and field points we can select in order to get results back in finite time.In this paper we present a simple GPU-based simulator capable of simulating high resolution pressure fields at interactive frame rates. The simulator is based on the same principle as the Ultrasim toolbox, where responses from several point sources are accumulated in a set of observation points, hence solving the Rayleigh-Sommerfeld integral. The cumulative sum for each observation point is independent of all other observation points, making the problem perfect for GPU processing. For the simulator we provide both a Paint-like interface for interactive drawing of uniform linear arrays and free-hand shapes, and a Matlab interface for precise scripting of element positions and observation points.The presented GPU simulator was compared both with a multi threaded C-version, Ultrasim, and Field II. Compared with Ultrasim we report a 400 times speedup when simulating a varying number of source points on a 150 K points observation grid. The test system consisted of a low-end GPU (Nvidia Quadro 600) and an Intel i7-870 2.93 GHz quad-core CPU.

show abstract

Section: Introductionmentioning

confidence: 99%

Huygens on speed: Interactive simulation of ultrasound pressure fields

Åsen

Holm

2012

2012 IEEE International Ultrasonics Symposium

View full text Add to dashboard Cite

show abstract

“…While the most common still remains the uniform random distribution [19], alternatives have been proposed in the literature to avoid the need for a large number of scatterers per resolution cell, to control the maximal distance between neighbouring scatterers or to improve their manipulation [2]. Among these strategies, one may cite the regular grids [4], repetitions of small distributions in large volumes [14], [20], or random location of one scatterer per small subvolume of the order of the resolution cell [21].…”

Section: Background On Scatterer Sampling Strategiesmentioning

confidence: 99%

Efficient 2D ultrasound simulation based on dart-throwing 3D scatterer sampling

Gaits

Mellado

Basarab

2022

2022 30th European Signal Processing Conference (EUSIPCO)

View full text Add to dashboard Cite

Ultrasound image simulation is a well-explored field with the main objective of generating realistic synthetic images, further used as ground truth (e.g. for training databases in machine learning), or for radiologists' training. Several ultrasound simulators are already available, most of them consisting in similar steps: (i) generate a collection of tissue mimicking individual scatterers with random spatial positions and random amplitudes, (ii) model the ultrasound probe and the emission and reception schemes, (iii) generate the RF signals resulting from the interaction between the scatterers and the propagating ultrasound waves. To ensure fully developed speckle, a few tens of scatterers by resolution cell are needed, demanding to handle high amounts of data (especially in 3D) and resulting into important computational time. The objective of this work is to explore new scatterer spatial distributions, with application to 2D slice simulation from 3D volumes. More precisely, lazy evaluation of pseudo-random schemes proves them to be highly computationally efficient compared to uniform random distribution commonly used. A statistical analysis confirms the visual impression of the results.

show abstract

“…In the field of ultrasonography both scientific and commercial applications are available. The transesophageal echocardiography simulator with mannequin [57] as well as ultrasound simulators for cardiovascular and urological examinations [10,17,20,24,44,49,50,61] can be put as the examples. The number of reviews of quality, accessibility and usability of the mentioned simulators has been increasing continuously [9,30,45,48].…”

Section: Introductionmentioning

confidence: 99%