Three-Dimensional Ultrasound: From Acquisition to Visualization and From Algorithms to Systems

Karadayi, Kerem; Managuli, Ravi; Kim, Yongmin

doi:10.1109/rbme.2009.2034132

Cited by 20 publications

(21 citation statements)

References 127 publications

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“…3D and 2D may also be combined in one 3D display by showing the 2D with correct placement in 3D. Several different 3D volume rendering methods with different rendering speed and quality may be used (Karadayi et al, 2009). Different transfer functions and filters may also improve the volume visualization quality.…”

Section: D Display Examples Of Multimodal Imagesmentioning

confidence: 99%

Navigated ultrasound in laparoscopic surgery

Solberg

Langø

Tangen

et al. 2009

Minimally Invasive Therapy & Allied Technologies

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Section: D Display Examples Of Multimodal Imagesmentioning

confidence: 99%

Navigated ultrasound in laparoscopic surgery

Solberg

Langø

Tangen

et al. 2009

Minimally Invasive Therapy & Allied Technologies

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“…Therefore, many density volumes will produce visual relationships such as inclusion, occlusion, and masking, making it difficult to visualize on a two-dimensional display [2,48]. Volume visualization is an important research field of information visualization; it is common in the medical domain (e.g., a 3D CT lesion distribution images and 3D ultrasound vision) [49] and in the fields of geology [50], mining (e.g., 3D map of the location, direction, length, and depth of an underground mine) [51,52], and meteorology (e.g., 3D representation of the atmosphere, such as cold air masses, hurricanes, and haze) [53]. The three main techniques of volume visualization are direct volume rendering, volume slicing, and isosurfaces [2].…”

Section: Visualizing the Time Density Volumementioning

confidence: 99%

4D Time Density of Trajectories: Discovering Spatiotemporal Patterns in Movement Data

Zou

Chen

et al. 2018

IJGI

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Abstract:Modern positioning and sensor technology enable the acquisition of movement positions and attributes on an unprecedented scale. Therefore, a large amount of trajectory data can be used to analyze various movement phenomena. In cartography, a common way to visualize and explore trajectory data is to use the 3D cube (e.g., space-time cube), where trajectories are presented as a tilted 3D polyline. As larger movement datasets become available, this type of display can easily become confusing and illegible. In addition, movement datasets are often unprecedentedly massive, high-dimensional, and complex (e.g., implicit spatial and temporal relations and interactions), making it challenging to explore and analyze the spatiotemporal movement patterns in space. In this paper, we propose 4D time density as a visualization method for identifying and analyzing spatiotemporal movement patterns in large trajectory datasets. The movement range of the objects is regarded as a 3D geographical space, into which the fourth dimension, 4D time density, is incorporated. The 4D time density is derived by modeling the movement path and velocity separately. We present a time density algorithm, and demonstrate it on the simulated trajectory and a real dataset representing the movement data of aircrafts in the Hong Kong International and the Macau International Airports. Finally, we consider wider applications and further developments of time density.

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“…Likewise, the small size of the elements results in lowered capacitance and henceforth increased electrical impedance mismatch between the element and the cable connecting it to the ultrasound scanner requiring preamplifiers and matching circuits in the probe handle. 6 Nevertheless, that numerous number of wires results in an impractically large cable from the transducer to the scanner.…”

Section: Introductionmentioning

confidence: 99%

Volumetric synthetic aperture imaging with a piezoelectric 2D row-column probe

et al. 2016

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The synthetic aperture (SA) technique can be used for achieving real-time volumetric ultrasound imaging using 2-D row-column addressed transducers. This paper investigates SA volumetric imaging performance of an in-house prototyped 3 MHz λ/2-pitch 62+62 element piezoelectric 2-D row-column addressed transducer array. Utilizing single element transmit events, a volume rate of 90 Hz down to 14 cm deep is achieved. Data are obtained using the experimental ultrasound scanner SARUS with a 70 MHz sampling frequency and beamformed using a delay-and-sum (DAS) approach. A signal-to-noise ratio of up to 32 dB is measured on the beamformed images of a tissue mimicking phantom with attenuation of 0.5 dB cm −1 MHz −1 , from the surface of the probe to the penetration depth of 300λ. Measured lateral resolution as Full-Width-at-Half-Maximum (FWHM) is between 4λ and 10λ for 18 % to 65 % of the penetration depth from the surface of the probe. The averaged contrast is 13 dB for the same range. The imaging performance assessment results may represent a reference guide for possible applications of such an array in different medical fields.

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Three-Dimensional Ultrasound: From Acquisition to Visualization and From Algorithms to Systems

Cited by 20 publications

References 127 publications

Navigated ultrasound in laparoscopic surgery

Navigated ultrasound in laparoscopic surgery

4D Time Density of Trajectories: Discovering Spatiotemporal Patterns in Movement Data

Volumetric synthetic aperture imaging with a piezoelectric 2D row-column probe

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