Systems and methods for providing surgical guidance
Inventors
MITREA, Bogdan • NWAIWU, Chibueze • DECHERT, Alyson • Kim, Peter • Chen, Tina P.
Assignees
Interested in licensing this patent?
MTEC can help explore whether this patent might be available for licensing for your application.
Publication Number
US-12131818-B2
Publication Date
2024-10-29
Expiration Date
Abstract
The present disclosure provides systems and methods for providing surgical guidance. In one aspect, the present disclosure provides a surgical guidance system comprising: an image processing module configured to (i) receive image data obtained using one or more image and/or video acquisition modules and (ii) generate one or more medical predictions or assessments based on (a) the image/video data or physiological data associated with the image/video data and (b) one or more training data sets comprising surgical or medical data associated with a patient or a surgical procedure. The one or more training data sets may comprise anatomical and physiological data obtained using a plurality of imaging modalities. The system may further comprise a visualization module configured to provide a surgical operator with an enhanced view of a surgical scene, based on the one or more augmented data sets.
Core Innovation
The invention provides a surgical guidance system that includes an image processing module configured to receive image or video data obtained using one or more image and/or video acquisition modules. The image processing module generates one or more medical predictions or assessments based on the image or video data and physiological data associated with the image or video data, using one or more training data sets including medical data associated with one or more reference surgical procedures.
The training data sets include anatomical and physiological data obtained using a plurality of imaging modalities, including depth imaging, distance mapping, intraoperative cholangiograms, angiograms, ductograms, ureterograms, or lymphangiograms. The training data sets enable direct objective correlation between physiologic images or videos and corresponding red-green-blue (RGB) images or videos, and support enhanced interpretation of the surgical scene.
A visualization module is configured to provide a surgical operator with an enhanced view of a surgical scene based on the one or more training data sets. The system supports real-time intraoperative medical predictions or assessments and augmented surgical visualization for the operator, including predictive guidance related to critical structures and tissue viability or perfusion.
Claims Coverage
The provided material includes one independent claim that recites a surgical guidance system with training-data-driven prediction or assessment and augmented surgical visualization. Dependent claims add specific training data modalities and further prediction and tracking behavior.
Training-data correlation between physiologic images and RGB images
The system includes one or more training data sets including medical data associated with one or more reference surgical procedures, wherein the training data sets include anatomical and physiological data obtained using a plurality of imaging modalities and enable direct objective correlation between physiologic images or videos and corresponding red-green-blue (RGB) images or videos.
Medical predictions or assessments from image/video and physiological data
The image processing module is configured to receive image or video data obtained using one or more image and/or video acquisition modules, and generate one or more medical predictions or assessments based on the image or video data or physiological data associated with the image or video data, using the training data sets.
Enhanced surgical view from the training data sets
The visualization module is configured to provide a surgical operator with an enhanced view of a surgical scene based on the one or more training data sets.
Critical structure identification and predicted location
The medical predictions or assessments identify or classify a critical structure and/or predict its location to provide predictive clinical decision support to the surgical operator before and during surgery.
Training data from chemical signal enhancers
The one or more training data sets include medical data obtained using an imaging sensor that generates physiologic or functional imaging data via chemical signal enhancers, including indocyanine green (ICG), fluorescent dyes, or radiolabeled dyes.
Training data from laser speckle patterns
The training data sets include medical data obtained using an imaging sensor that generates physiologic or functional imaging data from laser speckle patterns.
Training data including perfusion data
The one or more training data sets include perfusion data.
Visual outline and autonomous tracking
A visualization module displays a visual outline showing a predicted location of one or more critical features around a surgical procedure step and autonomously or semi-autonomously tracks mobile and deformable tissue targets as the tissue is maneuvered.
Overall, the claim coverage centers on generating medical predictions or assessments from multi-modality image/video and associated physiological data using training data sets that correlate physiologic images or videos with RGB images or videos, and presenting an enhanced surgical view to a surgical operator. Dependent refinements specify chemical signal enhancers, laser speckle patterns, perfusion data, predicted location of critical structures, and outline visualization with autonomous or semi-autonomous tracking of mobile and deformable tissue targets.
Stated Advantages
Provides predictive clinical decision support to the surgical operator before and during surgery.
Provides a surgical operator with an enhanced view of a surgical scene.
Documented Applications
No documented applications found
Interested in licensing this patent?