Performance of ultrasound based measurement of 3D displacement using a curvilinear probe for organ motion tracking
| Autor: | J Richard N Symonds-Tayler, Jeffrey C. Bamber, Emma J. Harris, Naomi R. Miller, P. Evans |
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| Rok vydání: | 2007 |
| Předmět: |
Accuracy and precision
Tracking (particle physics) Sensitivity and Specificity Displacement (vector) Imaging phantom Motion Speckle pattern Imaging Three-Dimensional Image Interpretation Computer-Assisted medicine Radiology Nuclear Medicine and imaging Computer vision 3D ultrasound Image resolution Ultrasonography Radiological and Ultrasound Technology medicine.diagnostic_test Phantoms Imaging business.industry Reproducibility of Results Image Enhancement Temporal resolution Artificial intelligence Artifacts business Algorithms Geology |
| Zdroj: | Physics in Medicine and Biology. 52:5683-5703 |
| ISSN: | 1361-6560 0031-9155 |
| DOI: | 10.1088/0031-9155/52/18/014 |
| Popis: | Three-dimensional (3D) soft tissue tracking is of interest for monitoring organ motion during therapy. Our goal is to assess the tracking performance of a curvilinear 3D ultrasound probe in terms of the accuracy and precision of measured displacements. The first aim was to examine the depth dependence of the tracking performance. This is of interest because the spatial resolution varies with distance from the elevational focus and because the curvilinear geometry of the transducer causes the spatial sampling frequency to decrease with depth. Our second aim was to assess tracking performance as a function of the spatial sampling setting (low, medium or high sampling). These settings are incorporated onto 3D ultrasound machines to allow the user to control the trade-off between spatial sampling and temporal resolution. Volume images of a speckle-producing phantom were acquired before and after the probe had been moved by a known displacement (1, 2 or 8 mm). This allowed us to assess the optimum performance of the tracking algorithm, in the absence of motion. 3D speckle tracking was performed using 3D cross-correlation and sub-voxel displacements were estimated. The tracking performance was found to be best for axial displacements and poorest for elevational displacements. In general, the performance decreased with depth, although the nature of the depth dependence was complex. Under certain conditions, the tracking performance was sufficient to be useful for monitoring organ motion. For example, at the highest sampling setting, for a 2 mm displacement, good accuracy and precision (an error and standard deviation of |
| Databáze: | OpenAIRE |
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