Patent classifications
A61B5/0066
AUTOMATIC INTRALUMINAL IMAGING-BASED TARGET AND REFERENCE IMAGE FRAME DETECTION AND ASSOCIATED DEVICES, SYSTEMS, AND METHODS
Disclosed is an intraluminal imaging system that includes an intraluminal imaging catheter or guidewire configured to obtain imaging data associated with a lumen of a patient while positioned within the lumen, and a processor in communication with the intraluminal imaging catheter or guidewire. The processor is configured to generate aplurality of image frames using on the imaging data, automatically measure an anatomical feature in the image frames, identify a target frame representative of a region of interest, identify a proximal reference frame located proximal of the target frame, and identify a distal reference frame located distal of the target frame. The processor is also configured to output a single screen display including the proximal reference frame, target frame, distal reference frame, and a longitudinal representation of the lumen showing the respective positions of the proximal refernce frame, the target frame, and the distal refernce frame.
Biomarker Prediction Using Optical Coherence Tomography
Deep learning methods and systems for detecting biomarkers within optical coherence tomography volumes using such deep learning methods and systems are provided. Embodiments predict the presence or absence of clinically useful biomarkers in OCT images using deep neural networks. The lack of available training data for canonical deep learning approaches is overcome in embodiments by leveraging a large external dataset consisting of foveal scans using transfer learning. Embodiments represent the three-dimensional OCT volume by “tiling” each slice into a single two dimensional image, and adding an additional component to encourage the network to consider local spatial structure. Methods and systems, according to embodiments are able to identify the presence or absence of AMD-related biomarkers on par with clinicians. Beyond identifying biomarkers, additional models could be trained, according to embodiments, to predict the progression of these biomarkers over time.
Method of hub communication, processing, display, and cloud analytics
A method of displaying an operational parameter of a surgical system is disclosed. The method includes receiving, by a cloud computing system of the surgical system, first usage data, from a first subset of surgical hubs of the surgical system; receiving, by the cloud computing system, second usage data, from a second subset of surgical hubs of the surgical system; analyzing, by the cloud computing system, the first and the second usage data to correlate the first and the second usage data with surgical outcome data; determining, by the cloud computing system, based on the correlation, a recommended medical resource usage configuration; and displaying, on respective displays on the first and the second subset of surgical hubs, indications of the recommended medical resource usage configuration.
Self-orienting imaging device and methods of use
The Self-Orienting Imaging Device and Methods of Use sense the orientation of the handheld imaging, and apply the rotational correction by rotating the image to be displayed. When a scanner is used, the scanning element in the scanner is adjusted, such that the eventual scanning direction remains unchanged referencing the subject anatomy. The self-orienting mechanism for the scanner may be implemented in hardware mechanisms.
System and method for providing surgical guidance based on polarization-sensitive optical coherence tomography
Systems and methods are provided for identifying a suitable surgical location and/or trajectory for proceeding with a surgical procedure based on local polarization-sensitive optical coherence tomography imaging (PS-OCT). PS-OCT images are obtained of a tissue region and are processed to provide a spatial map of anisotropic structure within the tissue region. The anisotropic structure is processed to determine one or more suitable surgical locations and/or trajectories for avoiding or reducing damage to local anisotropic tissue structure identified within the tissue region. The spatial map of the anisotropic structure is registered with pre-operative volumetric image data identifying anisotropic tissue structure within a second tissue region that is larger than the tissue region imaged by PS-OCT.
Cost-effective line-scan optical coherence tomography apparatus
An implementation cost of a line-scan optical coherence tomography (OCT) apparatus is reduced by miniaturizing a scanning mirror and using a light source with relaxed requirement in intensity uniformity. The mirror reflects a probe light beam to different parts of a sample for line-scanning the sample. A line-compressing lens compresses the probe light beam's cross-sectional length before the beam reaches the mirror, allowing the mirror to be miniaturized to reflect only the compressed beam. In generating a linear light beam that gives the probe light beam, a cascade of collimating lens, Powell lens and focusing lens generates the linear light beam from a raw light beam of a point source. A slit further filters the linear light beam to remove a peripheral portion thereof such that the linear light beam is substantially uniform in intensity even if an asymmetrical divergent light source is used.
Integrated optical system with wavelength tuning and spatial switching
An integrated optical system includes a wavelength tunable optical source and a photonic integrated circuit (PIC). The PIC includes a set of spatial waveguide switches having an input optically coupled to the wavelength tunable optical source and a plurality of outputs. The PIC also includes an optical emitter having a plurality of inputs, each being coupled to a respective one of the plurality of outputs of the set of spatial waveguide switches, the optical emitter configured to produce at an output an optical beam having a wavelength dependent emission direction that changes as light is switched by the set of spatial waveguide switches such that the optical beam may be steered in two dimensions.
System and method for measuring intraocular pressure and ocular tissue biomechanical properties
Provided herein are systems and methods to measure the intraocular pressure, ocular tissue geometry and the biomechanical properties of an ocular tissue, such as an eye-globe or cornea, in one instrument. The system is an optical coherence tomography subsystem and an applanation tonometer subsystem housed as one instrument and interfaced with a computer for at least data processing and image display. The system utilizes an air-puff and a focused micro air-pulse to induce deformation and applanation and displacement in the ocular tissue. Pressure profiles of the air puff with applanation times are utilized to measure intraocular pressure. Temporal profiles of displacement and/or spatio-temporal profiles of a displacement-generated elastic wave are analyzed to calculate biomechanical properties.
INTRALUMINAL IMAGE-BASED VESSEL DIAMETER DETERMINATION AND ASSOCIATED DEVICES, SYSTEMS, AND METHODS
Disclosed is an intraluminal imaging system, including an intraluminal imaging catheter or guidewire configured to be positioned within an anatomy of a patient, and a processor circuit in communication with the imaging catheter or guidewire, wherein the processor circuit is configured to receive a plurality of cross-sectional images of the anatomy from the imaging catheter or guidewire. The processor is further configured to compute, using image processing of at least one of the cross-sectional images, a value of the anatomy, estimate a cross-sectional shape of the anatomy to be circular, calculate a diameter of the anatomy based on the computed value and the estimated circular shape, and output the diameter of the anatomy to a display.
Torsional deployment detection of a vascular therapy
A torque detection vascular therapy system employing a vascular therapy device (101) and a torque detection controller (130). The vascular therapy device (101) is operable to be transitioned from a pre-deployed state to a post-deployed state, and includes a matrix of imageable markers representative of a geometry of the vascular therapy device (101). The torque detection controller (130) controls a detection of a non-torsional deployment or a torsional deployment of the vascular therapy device (101) subsequent to a transition of the vascular therapy device (101) from the pre-deployed state to the post-deployed state by deriving a vector indication of the non-torsional deployment or the torsional deployment of the vascular therapy device (101) from a matrix orientation similarity or a matrix orientation dissimilarity between a baseline device geometry of the vascular therapy device (101) represented by the matrix of the imageable markers and an imaged device geometry of the vascular therapy device (101) represented by the matrix of imageable markers.