Computer Phantoms for Simulating Ultrasound B-Mode and CFM Images

Jensen, Jørgen Arendt; Munk, Peter

doi:10.1007/978-1-4419-8588-0_12

Cited by 102 publications

(66 citation statements)

References 5 publications

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“…The fetus dataset is a modified version of the one presented in Jensen and Munk [7] and the phantom dataset is generated using Rayleigh noise, with similar phantoms being used for testing real ultrasound imaging systems [4]. The mediums had following characteristics: δ = 4.5 · 10 −6 [m 2 s −1 ], β = 6 and ρ 0 = 1100[kgm −3 ], which are common for human tissue [14].…”

Section: Resultsmentioning

confidence: 99%

Fast Ultrasound Image Simulation Using the Westervelt Equation

Karamalis

Wein

Navab

2010

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2010

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Abstract. The simulation of ultrasound wave propagation is of high interest in fields as ultrasound system development and therapeutic ultrasound. From a computational point of view the requirements for realistic simulations are immense with processing time reaching even an entire day. In this work we present a framework for fast ultrasound image simulation covering the imaging pipeline from the initial pulse transmission to the final image formation. The propagation of ultrasound waves is modeled with the Westervelt equation, which is solved explicitly with a Finite Difference scheme. Solving this scheme in parallel on the Graphics Processing Unit allows us to simulate realistic ultrasound images in a short time.

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Section: Resultsmentioning

confidence: 99%

Fast Ultrasound Image Simulation Using the Westervelt Equation

Karamalis

Wein

Navab

2010

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2010

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“…The simulation of the ultrasound field was based on the computation of the spatial impulse response, including the excitation scheme (dynamic focusing and apodization). The images were generated from a map of independent scatterers with determined positions and amplitudes [45]. To generate our test sequence, we specified a typical cardiac transducer (3-MHz central frequency, 64-element phased array with Hanning apodization for both transmission and reception, and with single focus in transmission and multiple focusing in reception mode).…”

Section: A Simulated Sequencesmentioning

confidence: 99%

Spatio-temporal nonrigid registration for ultrasound cardiac motion estimation

Ledesma-Carbayo

Kybic

Desco

et al. 2005

IEEE Trans. Med. Imaging

255

181

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Abstract-We propose a new spatio-temporal elastic registration algorithm for motion reconstruction from a series of images. The specific application is to estimate displacement fields from two-dimensional ultrasound sequences of the heart. The basic idea is to find a spatio-temporal deformation field that effectively compensates for the motion by minimizing a difference with respect to a reference frame. The key feature of our method is the use of a semi-local spatio-temporal parametric model for the deformation using splines, and the reformulation of the registration task as a global optimization problem. The scale of the spline model controls the smoothness of the displacement field. Our algorithm uses a multiresolution optimization strategy to obtain a higher speed and robustness.We evaluated the accuracy of our algorithm using a synthetic sequence generated with an ultrasound simulation package, together with a realistic cardiac motion model. We compared our new global multiframe approach with a previous method based on pairwise registration of consecutive frames to demonstrate the benefits of introducing temporal consistency. Finally, we applied the algorithm to the regional analysis of the left ventricle. Displacement and strain parameters were evaluated showing significant differences between the normal and pathological segments, thereby illustrating the clinical applicability of our method.

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“…We were unable to test the other detectors in this manner, since the regression/correlation test requires 3D data, while the axial model test needs training for a specific transducer. The Field II package 5 was used to simulate RF echo samples from a virtual cyst phantom [15] for a transducer with 128 array elements, using 10 5 diffuse scatterers in a cuboid volume of 60 × 40 × 15 mm 3 . Besides diffuse scattering in the background, the resulting B-scan (Fig.…”

Section: Verification Of Speckle Detectorsmentioning

confidence: 99%