A61B8/0891

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.

Transcoronary sinus pacing of his bundle
11577075 · 2023-02-14 ·

Systems and methods for cardiac pacing are provided, where a pacing lead is placed at or near the bundle of His. A method for pacing a heart of a patient comprises: introducing a sheath to vasculature of the patient; steering the sheath within a coronary sinus in the heart to lodge a distal end of the sheath to a target location proximal to the bundle of His above a septum separating a left ventricle and a right ventricle of the heart; advancing a pacing lead through a lumen of the sheath to the target location; coupling the pacing lead to cardiac tissue at the target location; removing the sheath; and electrically pacing the bundle of His using the pacing lead.

System and method for generating a virtual mathematical model of the dental (stomatognathic) system

A method for forming a virtual 3D mathematical model of a dental system, including receiving DICOM files representing the dental system; identifying number and location of voxels of tissues of the dental system; combining the voxels of the tissues into voxels of organs of the dental system; combining the organs into the virtual 3D mathematical model of the dental system, wherein the virtual 3D mathematical models supports linear, non-linear and volumetric measurements of the dental system; and presenting the virtual 3D mathematical model to a user. The DICOM files can be cone beam or multispiral computed tomography, MRT, PET and/or ultrasonography. The tissues include enamel, dentin, pulp, cartilage, periodontium, and/or jaw bone. The organs include teeth, gums, temporomandibular joint and/or jaw. A size of the voxels is typically between 40 μm and 200 μm.

Plaque vulnerability assessment in medical imaging
11576621 · 2023-02-14 · ·

Rather than rely on variation from physician to physician and limited imaging information for assessing plaque vulnerability of a patient, medical imaging and other information are used by a machine-implemented classifier to predict plaque rupture. Anatomical, morphological, hemodynamic, and biochemical features are used in combination to classify plaque.

Ultrasound diagnosis apparatus for controlling volume of Doppler sound and method of controlling the same

Provided is an ultrasound diagnosis apparatus including an image processor configured to generates an ultrasound image on the basis of an ultrasound signal, an image outputter configured to display the ultrasound image generated by the image processor on the basis of a plurality of parameters, a sound outputter configured to output Doppler sound of the ultrasound image, and a controller configured to control a volume of the Doppler sound on the basis of at least one of the plurality of parameters.

Intraluminal imaging devices with multiple center frequencies

Intravascular ultrasound (IVUS) imaging devices, systems, and method are provided. In one embodiment, an IVUS imaging device includes a flexible elongate member configured to be positioned within a lumen of a patient, the flexible elongate member comprising a proximal portion and a distal portion; and an imaging assembly disposed at the distal portion of the flexible elongate member. The imaging assembly includes a first ultrasound transducer operating at a first center frequency; and a second ultrasound transducer operating at a second center frequency different from the first center frequency.

Systems and methods for numerically evaluating vasculature

Systems and methods are disclosed for providing a cardiovascular score for a patient. A method includes receiving, using at least one computer system, patient-specific data regarding a geometry of multiple coronary arteries of the patient; and creating, using at least one computer system, a three-dimensional model representing at least portions of the multiple coronary arteries based on the patient-specific data. The method also includes evaluating, using at least one computer system, multiple characteristics of at least some of the coronary arteries represented by the model; and generating, using at least one computer system, the cardiovascular score based on the evaluation of the multiple characteristics. Another method includes generating the cardiovascular score based on evaluated multiple characteristics for portions of the coronary arteries having fractional flow reserve values of at least a predetermined threshold value.

ULTRASONIC BLOOD PERFUSION IMAGING METHOD AND APPARATUS FOR SINGLE VESSEL

Disclosed is an ultrasonic blood perfusion imaging method for a single blood vessel, comprising: setting an ultrasound focusing label point in a blood vessel contour of a blood vessel to be measured in a region to be measured; obtaining a preactivated ultrasound image of the region to be measured when an ultrasound contrast agent is in an inactive state; activating the ultrasound contrast agent; obtaining an activated ultrasound image of the region to be measured when the ultrasound contrast agent is in an activated state; obtaining an activation map of the ultrasound contrast agent in the blood vessel to be measured; and obtaining a blood flow perfusion distribution map of the blood vessel to be measured. The ultrasound contrast agent is activated at the ultrasound focusing label point causing liquid-to-gas conversion, and the ultrasound signal changes from dark to bright.

INTRALUMINAL IMAGING BASED DETECTION AND VISUALIZATION OF INTRALUMINAL TREATMENT ANOMALIES
20230045488 · 2023-02-09 ·

Disclosed is an intravascular imaging system, including a processor circuit configured for communication with an intravascular imaging catheter that is sized and shaped for positioning within a lumen of a blood vessel. The processor circuit configured to receive a plurality of intravascular images obtained by the intravascular imaging catheter while the intravascular imaging catheter is positioned within the lumen, wherein the plurality of intravascular images corresponds to a plurality of locations along a length of the blood vessel. The processor is further configured to determine a measurement associated with the lumen for each image of the plurality of intravascular images, generate a curve representative of a change in the measurement along the length of the blood vessel, detect a condition of the blood vessel based on the curve, and display a graphical representation of the condition.

PROGRAM, INFORMATION PROCESSING METHOD, METHOD FOR GENERATING LEARNING MODEL, METHOD FOR RELEARNING LEARNING MODEL, AND INFORMATION PROCESSING SYSTEM

A program and the like that make a catheter system relatively easy to use. The program including a non-transitory computer-readable medium (CRM) storing computer program code executed by a computer processor that executes a process comprising: acquiring a tomographic image generated using a diagnostic imaging catheter inserted into a lumen organ; and inputting the acquired tomographic image to a first model configured to output types of a plurality of objects included in the tomographic image and ranges of the respective objects in association with each other when the tomographic image is input, and outputting the types and ranges of the objects output from the first model.