Reconstruction and visualization of irregularly sampled three- and four-dimensional ultrasound data for cerebrovascular applications
Although recent studies have demonstrated the potential value of compounded data for improvement in signal-to-noise ratio and speckle contrast for three-dimensional (3-D) ultrasonography, clinical applications are lacking. We investigated the potential of six degrees-of-freedom (6-DOF) scanhead posi...
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| Main Authors: | , , |
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| Format: | Article (Journal) |
| Language: | English |
| Published: |
15 March 2000
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| In: |
Ultrasound in medicine & biology
Year: 2000, Volume: 26, Issue: 2, Pages: 263-272 |
| ISSN: | 1879-291X |
| DOI: | 10.1016/s0301-5629(99)00130-1 |
| Online Access: | Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1016/s0301-5629(99)00130-1
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| Author Notes: | Stephen Meairs, Jens Beyer and Michael Hennerici |
| Summary: | Although recent studies have demonstrated the potential value of compounded data for improvement in signal-to-noise ratio and speckle contrast for three-dimensional (3-D) ultrasonography, clinical applications are lacking. We investigated the potential of six degrees-of-freedom (6-DOF) scanhead position and orientation measurement (POM) devices for registration of in vivo multiplanar, irregularly sampled ultrasound (US) images to a regular 3-D volume space. The results demonstrate that accurate spatial and temporal registration of four-dimensional (4-D) US data can be achieved using a 6-DOF scanhead tracking system. For reconstruction of arbitrary, irregularly sampled US data, we introduce a technique based upon a weighted, ellipsoid Gaussian convolution kernel. Volume renderings of 3-D and 4-D compounded in vivo US data are presented. The results, although restricted to the field of cerebrovascular disease, will be of value to other applications of 3-D sonography, particularly those in which compounding of data through irregular sampling may provide superior information on tissue or vessel structure. |
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| Item Description: | Gesehen am 13.06.2022 |
| Physical Description: | Online Resource |
| ISSN: | 1879-291X |
| DOI: | 10.1016/s0301-5629(99)00130-1 |