Improving the visualization of 3D ultrasound data with 3D filtering

Shamdasani, Vijay; Bae, Unmin; Managuli, Ravi; Kim, Yongmin

doi:10.1117/12.596641

Cited by 13 publications

(6 citation statements)

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“…in shear-object coordinates: z max z min volume rendering and 3D boxcar filtering on it [8][9][10]. We have now integrated the cut operator C{·} and our proposed method into this machine.…”

Section: Methodsmentioning

confidence: 99%

Artifact-free volume clipping algorithm for real-time 3D ultrasound

Karadayi

Shamdasani

Managuli

et al. 2007

Medical Imaging 2007: Ultrasonic Imaging and Signal Processing

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Three-dimensional (3D) ultrasound has become a useful tool in cardiac imaging, OB/GYN and other clinical applications. It enables clinicians to visualize the acquired volume and/or planes that are not easily accessible using 2D ultrasound, in addition to providing an intuitive understanding of the structural anatomy in three dimensions. One effective way to examine the acquired volumetric data is by clipping away parts of the volume using cross-sectional cuts to reveal the underlying anatomy masked by other structures. Ideally, such boundaries should reflect the orientation and location of the clip surfaces without altering the information content of the original data. Because of the artificial surface introduced by the clip boundary, shading employed to enhance the surfaces of the object gets modified, resulting in inconsistent shading and noticeable artifacts in the case of ultrasound data. Consistent shading of clip surfaces was previously studied for graphics hardware-based volume rendering, and an algorithm was developed and demonstrated in MRI, CT and non-medical datasets. However, that algorithm cannot be applied directly to fast software-based rendering approaches such as the shear-warp algorithm. Furthermore, ultrasound data require a different clipping approach due to their fuzzy nature, lower signal-to-noise ratios, and real-time requirements. In this paper, we present a software-based volume clipping technique that can effectively and efficiently overcome the difficulties associated with the shading of the clip boundaries in ultrasound data using shear-warp. Our technique improves the viewer's comprehension of the clip boundary without altering the original information content within the volume. The method has been implemented on programmable processors while maintaining the interactive speed in rendering.

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Section: Methodsmentioning

confidence: 99%

Artifact-free volume clipping algorithm for real-time 3D ultrasound

Karadayi

Shamdasani

Managuli

et al. 2007

Medical Imaging 2007: Ultrasonic Imaging and Signal Processing

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“…1 shows a typical mono-volume rendering pipeline. To reduce noise in 3D ultrasound data, 3D filtering (e.g., 3D boxcar filtering [26]) is utilized. Then, classification is applied for better visualization by assigning colors and/or opacity values to the voxels.…”

Section: Mono-volume Rendering Algorithmmentioning

confidence: 99%

New multi-volume rendering technique for three-dimensional power Doppler imaging

2007

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“…31 Recently, a method using two filtered datasets for the resampling and the gradient estimation has been proposed to acquire noise-insensitive images. 15 A dataset filtered with small kernel is used for space leaping, and a dataset filtered with large kernel is used to estimate gradient vectors. However, adaptive filters rely on statistical identification and require a model to quantify the amount of noise present.…”

Section: Related Workmentioning

confidence: 99%

“…[14][15][16] If we use filtering, neighboring voxels are referred to. If the noise exists locally in transparent regions, it is not considered because it spreads over the neighboring voxels.…”

Section: Introductionmentioning

confidence: 99%

GPU‐based interactive visualization framework for ultrasound datasets

Lim¹,

Kwon²,

Shin

2009

Computer Animation & Virtual

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Ultrasound imaging is widely used in medical areas. By transmitting ultrasound signals into the human body, their echoed signals can be rendered to represent the shape of internal organs. Although its image quality is inferior to that of CT or MR, ultrasound is widely used for its speed and reasonable cost. Volume rendering techniques provide methods for rendering the 3D volume dataset intuitively. We present a visualization framework for ultrasound datasets that uses programmable graphics hardware. For this, we convert ultrasound coordinates into Cartesian form. In ultrasound datasets, however, since physical storage and representation space is different, we apply different sampling intervals adaptively for each ray. In addition, we exploit multiple filtered datasets in order to reduce noise. By our method, we can determine the adequate filter size without considering the filter size. As a result, our approach enables interactive volume rendering for ultrasound datasets, using a consumerlevel PC.

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Improving the visualization of 3D ultrasound data with 3D filtering

Cited by 13 publications

References 0 publications

Artifact-free volume clipping algorithm for real-time 3D ultrasound

Artifact-free volume clipping algorithm for real-time 3D ultrasound

New multi-volume rendering technique for three-dimensional power Doppler imaging

GPU‐based interactive visualization framework for ultrasound datasets

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