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

Yoo, Yangmo; Managuli, Ravi; Kim, Yongmin

doi:10.1016/j.ultras.2007.04.002

Cited by 5 publications

(2 citation statements)

References 21 publications

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“…Using silhouette rendering for the B-Mode and a mix of Phong shaded DVR and silhouette rendering on color Doppler. A new technique for blending Doppler and B-mode was introduce by Yoo et al [81]. Instead of blending two 2D rendered images (post fusion), or a blending the two volumes while rendering (composite fusion), it proposes a way to do both called progressive fusion (PGF).…”

Section: Multi-modal Renderingmentioning

confidence: 99%

The Ultrasound Visualization Pipeline

Birkeland

Šoltészová

Hönigmann

et al. 2014

Mathematics and Visualization

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Note: Also to appear in the Dagstuhl 2012 SciVis book by Springer. Please cite this paper with its arXiv citation information. Abstract Ultrasound is one of the most frequently used imaging modality in medicine. The high spatial resolution, its interactive nature and non-invasiveness makes it the first choice in many examinations. Image interpretation is one of ultrasound's main challenges. Much training is required to obtain a confident skill level in ultrasound-based diagnostics. State-of-the-art graphics techniques is needed to provide meaningful visualizations of ultrasound in real-time. In this paper we present the process-pipeline for ultrasound visualization, including an overview of the tasks performed in the specific steps. To provide an insight into the trends of ultrasound visualization research, we have selected a set of significant publications and divided them into a technique-based taxonomy covering the topics pre-processing, segmentation, registration, rendering and augmented reality. For the different technique types we discuss the difference between ultrasound-based techniques and techniques for other modalities.

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Section: Multi-modal Renderingmentioning

confidence: 99%

The Ultrasound Visualization Pipeline

Birkeland

Šoltészová

Hönigmann

et al. 2014

Mathematics and Visualization

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“…But as mentioned in [1], one disadvantage of 2D ultrasound imaging is the loss of the real anatomy of conventional exams, which can affect the accuracy of diagnostic results. 3D ultrasound, however, allows doctors to view the anatomy in 3D in applications such as OB diagnosis, 3D power Doppler imaging [2], which are hard to obtain from conventional 2D scans.…”

Section: Introductionmentioning

confidence: 99%

Interactive Editing for 3D Ultrasound Volume Rendering

Liu

2008

2008 2nd International Conference on Bioinformatics and Biomedical Engineering

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In 3D ultrasound volume rendering, the region of interest is blocked by near field acoustic data. Consequently, it is very hard to give a correct diagnosis from the 3D image. This paper presents two interactive editing methods to remove the unwanted data and improve the image's quality. The first method is in the 3D domain. It isolates ROI's interactively and removes the unwanted structures starting from an inverse mapping of the shear-warp procedure to identify samples to be removed in the volume data. Afterwards, one can see the updated 3D image without blocked structures. The second method utilizes adaptive border detection method starting from user defined ROIs on an arbitrary slice to a sequence of images propagated through the normal vector of the processing slices. The unwanted samples in the volume data can be removed slice-by-slice. Finally, a 3D image can be rendered with no blocked structure. We have built an interactive user interface to manipulate the proposed editing software as one of the 3D tools in our lab.

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