Method and System for Detection 3D Spinal Geometry Using Iterated Marginal Space Learning
A method and apparatus for automatic detection and labeling of 3D spinal geometry is disclosed. Cervical, thoracic, and lumbar spine regions are detected in a 3D image. Intervertebral disk candidates are detected in each of the spine regions using iterative marginal space learning (MSL). Using a glo...
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Main Authors | , , , |
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Format | Patent |
Language | English |
Published |
17.03.2011
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Subjects | |
Online Access | Get full text |
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Summary: | A method and apparatus for automatic detection and labeling of 3D spinal geometry is disclosed. Cervical, thoracic, and lumbar spine regions are detected in a 3D image. Intervertebral disk candidates are detected in each of the spine regions using iterative marginal space learning (MSL). Using a global probabilistic spine model, a separate one of the intervertebral disk candidates is selected for each of a plurality of labeled intervertebral disk locations. |
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Bibliography: | Application Number: US20100794850 |