2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI) 2016
DOI: 10.1109/isbi.2016.7493265
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Influence of inter-subject correspondences on liver motion predictions from population models

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Cited by 2 publications
(6 citation statements)
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“…Therefore we did not include 3D forecasting in this work. 3D guidance from 2D motion predictions can be achieved by carefully aligning the US transducer with the main direction of the respiratory motion, calibrating the US coordinate system with the treatment coordinate system, and employing a 4D motion model …”
Section: Resultsmentioning
confidence: 99%
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“…Therefore we did not include 3D forecasting in this work. 3D guidance from 2D motion predictions can be achieved by carefully aligning the US transducer with the main direction of the respiratory motion, calibrating the US coordinate system with the treatment coordinate system, and employing a 4D motion model …”
Section: Resultsmentioning
confidence: 99%
“…Such an approach achieved in‐vivo for the right liver lobe of eight subjects a spatio‐temporal 3D mean prediction accuracy of 2.4 (2.7) mm for a system latency of 150 (400) ms based on 2D US tracking (mean accuracy 0.9 mm) and a population 4D motion model . Note that improved performance was observed for the central liver region, which is closer to the typical US plane, and by adapting the model to the subject using few breath‐hold observations …”
Section: Discussionmentioning
confidence: 97%
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