openlifu.db.session.TransducerTrackingResult

class openlifu.db.session.TransducerTrackingResult(photoscan_id: Annotated[str, OpenLIFUFieldData(name='Photoscan ID', description='ID of the photoscan object used for transducer tracking')], transducer_to_volume_transform: Annotated[ArrayTransform, OpenLIFUFieldData(name='Transducer to volume transform', description='Transform output by transducer tracking algorithm to register the transducer surface to the volume')], photoscan_to_volume_transform: Annotated[ArrayTransform, OpenLIFUFieldData(name='Photoscan to volume transform', description="Transform output by the transducer tracking algorithm to register the photoscan model the volume's skin segmentation")], transducer_to_volume_tracking_approved: Annotated[bool, OpenLIFUFieldData(name='Transducer tracking approved?', description='Approval state of transducer to volume tracking result. `True` means the user has provided some kind of confirmation that the transform result agrees with reality.')] = False, photoscan_to_volume_tracking_approved: Annotated[bool, OpenLIFUFieldData(name='Photoscan tracking approved?', description='Approval state of photoscan to volume tracking result. `True` means the user has provided some kind of confirmation that the transform result agrees with reality.')] = False)

Bases: object

Class representing the results of running the transducer tracking algorithm.

photoscan_id: Annotated[str, OpenLIFUFieldData(name='Photoscan ID', description='ID of the photoscan object used for transducer tracking')]

ID of the photoscan object used for transducer tracking

photoscan_to_volume_tracking_approved: Annotated[bool, OpenLIFUFieldData(name='Photoscan tracking approved?', description='Approval state of photoscan to volume tracking result. `True` means the user has provided some kind of confirmation that the transform result agrees with reality.')] = False

Approval state of photoscan to volume tracking result. True means the user has provided some kind of confirmation that the transform result agrees with reality.

photoscan_to_volume_transform: Annotated[ArrayTransform, OpenLIFUFieldData(name='Photoscan to volume transform', description="Transform output by the transducer tracking algorithm to register the photoscan model the volume's skin segmentation")]

Transform output by the transducer tracking algorithm to register the photoscan model the volume’s skin segmentation

transducer_to_volume_tracking_approved: Annotated[bool, OpenLIFUFieldData(name='Transducer tracking approved?', description='Approval state of transducer to volume tracking result. `True` means the user has provided some kind of confirmation that the transform result agrees with reality.')] = False

Approval state of transducer to volume tracking result. True means the user has provided some kind of confirmation that the transform result agrees with reality.

transducer_to_volume_transform: Annotated[ArrayTransform, OpenLIFUFieldData(name='Transducer to volume transform', description='Transform output by transducer tracking algorithm to register the transducer surface to the volume')]

Transform output by transducer tracking algorithm to register the transducer surface to the volume