发明名称 |
Automated fetal measurement from three-dimensional ultrasound data |
摘要 |
A fetal parameter or anatomy is measured or detected from three-dimensional ultrasound data. An algorithm is machine-trained to detect fetal anatomy. Any machine training approach may be used. The machine-trained classifier is a joint classifier, such that one anatomy is detected using the ultrasound data and the detected location of another anatomy. The machine-trained classifier uses marginal space such that the location of anatomy is detected sequentially through translation, orientation and scale rather than detecting for all location parameters at once. The machine-trained classifier includes detectors for detecting from the ultrasound data at different resolutions, such as in a pyramid volume.
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申请公布号 |
US8556814(B2) |
申请公布日期 |
2013.10.15 |
申请号 |
US20080239898 |
申请日期 |
2008.09.29 |
申请人 |
MONTEIRO DE BARROS CARNEIRO GUSTAVO HENRIQUE;AMAT FERNANDO;GEORGESCU BOGDAN;GOOD SARA;COMANICIU DORIN;SIEMENS MEDICAL SOLUTIONS USA, INC. |
发明人 |
MONTEIRO DE BARROS CARNEIRO GUSTAVO HENRIQUE;AMAT FERNANDO;GEORGESCU BOGDAN;GOOD SARA;COMANICIU DORIN |
分类号 |
A61B8/00 |
主分类号 |
A61B8/00 |
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