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RECALAGE OSSEUX EN IMAGERIE ULTRASONORE AVEC CALIBRAGE DE LA VITESSE DU SON ET SEGMENTATION FONDÉS SUR L'APPRENTISSAGE
RECALAGE OSSEUX EN IMAGERIE ULTRASONORE AVEC CALIBRAGE DE LA VITESSE DU SON ET SEGMENTATION FONDÉS SUR L'APPRENTISSAGE
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摘要
A workflow is disclosed to accurately register ultrasound imaging to co-modality imaging. The ultrasound imaging is segmented with a convolutional neural network to detect a surface of the object. The ultrasound imaging is calibrated to reflect a variation in propagation speed of the ultrasound waves through the object by minimizing a cost function that sums the differences between the first and second steered frames, and compares the first and second steered frames of the ultrasound imaging with a third frame of the ultrasound imaging that is angled between the first and second steered frames. The ultrasound imaging is temporarily calibrated with respect to a tracking coordinate system by creating a point cloud of the surface and calculating a set of projection values of the point cloud to a vector. The ultrasound imaging, segmented and calibrated, is automatically registered to the co-modality imagine.
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