Automatic 3D ultrasound calibration for image guided therapy using intramodality image registration.
Automatic 3D ultrasound calibration for image guided therapy using intramodality image registration.
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DOI:
10.1088/0031-9155/58/21/7481
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发表时间:
2013-11-07
影响因子:
3.5
通讯作者:
Hristov D
中科院分区:
文献类型:
--
作者:
Schlosser J;Kirmizibayrak C;Shamdasani V;Metz S;Hristov D
Many real time ultrasound (US) guided therapies can benefit from management of motion-induced anatomical changes with respect to a previously acquired computerized anatomy model. Spatial calibration is a prerequisite to transforming US image information to the reference frame of the anatomy model. We present a new method for calibrating 3D US volumes using intramodality image registration, derived from the “hand eye” calibration technique. The method is fully automated by implementing data rejection based on sensor displacements, automatic registration over overlapping image regions, and a self-consistency error metric evaluated continuously during calibration. We also present a novel method for validating US calibrations based on measurement of physical phantom displacements within US images. Both calibration and validation can be performed on arbitrary phantoms. Results indicate that normalized mutual information and localized cross correlation produce the most accurate 3D US registrations for calibration. Volumetric image alignment is more accurate and reproducible than point selection for validating the calibrations, yielding <1.5 mm root mean square error, a significant improvement relative to previously reported hand eye US calibration results. Comparison of two different phantoms for calibration and for validation revealed significant differences for validation (p=0.003) but not for calibration (p=0.795).
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影响因子:
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通讯作者:
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通讯作者:
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