Abstract
Temporal prediction of respiratory motion is required due to the latencies in image-guided therapy systems. In this study we propose to combine the outcome of four temporal prediction methods, which have different strength and weaknesses, by taking their median. Based on 25 motion traces from ultrasound liver tracking, this decision fusion provided statistically significantly better results than the individual outcomes for latencies from 150 to 1000ms. On average, RMS errors reduced by at least 50% in comparison to assuming no motion for all latencies. Furthermore it was shown that time-intensive optimization of the methods parameters to individual cases was not required, as performance from using the median parameters from the population was not significantly worse when using decision fusion.
Original language | English |
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Title of host publication | 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014, April 29-May 2, 2014, Beijing, China |
Place of Publication | Piscataway |
Publisher | Institute of Electrical and Electronics Engineers |
Pages | 698-701 |
Number of pages | 4 |
ISBN (Print) | 978-1-4673-1959-1 |
DOIs | |
Publication status | Published - 29 Jul 2014 |
Event | 11th IEEE International Symposium on Biomedical Imaging (ISBI 2014) - Renaissance Beijing Capital Hotel, Beijing, China Duration: 29 Apr 2014 → 2 May 2014 Conference number: 11 http://biomedicalimaging.org/2014/ |
Conference
Conference | 11th IEEE International Symposium on Biomedical Imaging (ISBI 2014) |
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Abbreviated title | ISBI 2014 |
Country/Territory | China |
City | Beijing |
Period | 29/04/14 → 2/05/14 |
Internet address |
Keywords
- Decision fusion
- Image-guided therapy
- Liver
- Respiratory motion
- Temporal prediction