2015
DOI: 10.1117/1.jmi.2.3.034002
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Hole filling with oriented sticks in ultrasound volume reconstruction

Abstract: Abstract. Volumes reconstructed from tracked planar ultrasound images often contain regions where no information was recorded. Existing interpolation methods introduce image artifacts and tend to be slow in filling large missing regions. Our goal was to develop a computationally efficient method that fills missing regions while adequately preserving image features. We use directional sticks to interpolate between pairs of known opposing voxels in nearby images. We tested our method on 30 volumetric ultrasound … Show more

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Cited by 5 publications
(2 citation statements)
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References 25 publications
(43 reference statements)
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“…The Public Library for Ultrasound Toolkit (PLUS, (accessed on 8 August 2021)) [ 18 ] is an abstraction layer for hardware devices, e.g., ultrasound scanners, position tracking devices, cameras, and generally any kind of data-streaming device. PLUS provides generic functions for pre-processing, such as the 3D ultrasound volume compounding [ 19 ] and live volume rendering [ 20 ] of tracked ultrasound image streams. PLUS offers complete end-user software applications for spatial and temporal calibration, an essential toolset in clinical translation and system maintenance.…”
Section: System Design and Architecturementioning
confidence: 99%
“…The Public Library for Ultrasound Toolkit (PLUS, (accessed on 8 August 2021)) [ 18 ] is an abstraction layer for hardware devices, e.g., ultrasound scanners, position tracking devices, cameras, and generally any kind of data-streaming device. PLUS provides generic functions for pre-processing, such as the 3D ultrasound volume compounding [ 19 ] and live volume rendering [ 20 ] of tracked ultrasound image streams. PLUS offers complete end-user software applications for spatial and temporal calibration, an essential toolset in clinical translation and system maintenance.…”
Section: System Design and Architecturementioning
confidence: 99%
“…The trained networks were also evaluated in spine curvature measurement on the patient dataset. The segmented ultrasound images of the training dataset were reconstructed in 3dimensional volumes with 1 mm isotropic voxel size using the position tracking information recorded for each frame [22]. The reconstruction was visualized by volume rendering in 3D Slicer and overlaid with the posteroanterior X-ray of the same patients.…”
Section: E Evaluation Metricsmentioning
confidence: 99%