A method and system to treat headaches in a patient by performing surgery via at least one nostril. Data from a computer tomography scan of at least one nasal cavity and one sinus cavity of the patient and a completed headache questionnaire are matched to at least one nasal/sinus surgery plan to operate on at least one of: a nasal septum, at least one sinus cavity and at least one turbinate of the patient. The surgery plan is executed by installing a topical local anesthetic and decongestant onto the at least one turbinate forming an anesthetized decongested nasal cavity; infusing an anesthetic into the anesthetized decongested nasal cavity of the patient; dilating the at least one sinus ostium; incising at least one of: a first mucosal flap or a second mucosal flap of the nasal septum of the anesthetized decongested nasal cavity to expose deviated septal cartilage and bone; removing deviated cartilage and/or bone of the nasal septum; fracturing the at least one turbinate laterally away from the nasal septum; inspecting between the first mucosal flap and the second mucosal flap for a residual broken bone, a residual segment of cartilage or combinations thereof, surgically closing the first mucosal flap and the second mucosal flap of the nasal septum; and suctioning unwanted matter from the anesthetized decongested nasal cavity. An interactive system guides the surgery and provides a record thereof.

The disclosure herein relates to systems, methods, and devices for medical image analysis, diagnosis, risk stratification, decision making and/or disease tracking. In some embodiments, the systems, devices, and methods described herein are configured to analyze non-invasive medical images of a subject to automatically and/or dynamically identify one or more features, such as plaque and vessels, and/or derive one or more quantified plaque parameters, such as radiodensity, radiodensity composition, volume, radiodensity heterogeneity, geometry, location, perform computational fluid dynamics analysis, facilitate assessment of risk of heart disease and coronary artery disease, enhance drug development, determine a CAD risk factor goal, provide atherosclerosis and vascular morphology characterization, and determine indication of myocardial risk, and/or the like. In some embodiments, the systems, devices, and methods described herein are further configured to generate one or more assessments of plaque-based diseases from raw medical images using one or more of the identified features and/or quantified parameters.

Embodiments of the present disclosure are related to providing a method and device processing a first set of volumetric image data comprising cross-sectional images of a myocardium and displaying a second set of volumetric image data of the myocardium. A curved plane to rectangular plane transformation of cross-sectional images of myocardium of human heart is proposed. After the transformation, a combined and reconstructed set of myocardium images are superimposed with a modified Bull's Eye View (BEV) map and corresponding parameters indicating extent of fibrosis to obtain a second set of volumetric image data of myocardium. In addition to quantifying and displaying the extent of fibrosis, the proposed solution preserves neighborhood and adjacency criteria of abnormal tissues of myocardium walls of human heart.

A transformable imaging system configured to operate in at least two configurations. A first configuration may be open and a second configuration may be closed. The closed configuration may allow for imaging in along an arc greater than 180 degrees.

The present disclosure relates to a method, system and non-transitory computer readable medium. In some embodiments, the method includes: acquiring image data of a target subject positioned on a scanning table of an imaging device; determining, by a processor, first position information of the target subject by inputting the image data into a first machine learning model, the first position information of the target subject including a posture of the target subject relative to the imaging device; determining, by the processor, second position information related to a scan region of the target subject by inputting the image data into a second machine learning model, the second position information including a position of the scan region relative to the scanning table and the imaging device; and causing the imaging device to scan the target subject based on the first position information and the second position information.

Described herein are systems and methods of processing immobilization molds for application of treatment, A computing system may generate a three-dimensional mold model of immobilization mold within with a subject is to be positioned for application of a treatment. The computing system may subtract a three-dimensional scan of at least a portion of the subject from the three-dimensional mold model to define an opening therein. The computing system may remove, from the three-dimensional mold model, a first portion to define an imprint in the opening from a first axis along which the subject is to enter. The computing system may remove, from a second portion of the three-dimensional mold model remaining with the removal of the first portion, inward protrusions into the imprint of relative to the second axis intersecting the first axis.

A method and system for facilitating identification and marking of a target in a displayed Fluoroscopic Three-Dimensional Reconstruction (F3DR) of a body region of a patient. The system includes a display and a storage device storing instructions for receiving an initial selection of the target in the F3DR, fining the F3DR based on the initial selection of the target, displaying the fined F3DR on the display, and receiving a final selection of the target in the fined F3DR via a user selection. The system further includes at least one hardware processor configured to execute said instructions. The method and instructions may also include receiving a selection of a medical device in two two-dimensional fluoroscopic images, where the medical device is located in an area of the target, and initially fining the F3DR based on the selection of the medical device.

The present disclosure relates to a method for manufacturing nose implant, including obtaining a 3-dimensional image of a nasal bone and a 3-dimensional image of a nasal cavity; modeling a nasal cartilage by applying information of anatomy between the nasal bone, nasal cavity, and nasal cartilage, to the 3-dimensional image of the nasal bone and the 3-dimensional image of the nasal cavity; and modeling an inner shape of where the implant may be seated, from the 3-dimensional image of the nasal bone and the modelled nasal cartilage.

An X-ray Computed Tomography (CT) apparatus according to an embodiment includes a gantry. The gantry includes: a rotating base rotatably supported; a plurality of units fixed to the rotating base; and a fixing member that is separately provided, is positioned apart from the rotating base, and is configured to fix at least two of the plurality of units with each other.

There is provided a PCCT apparatus capable of correcting a band artifact of one material decomposition image and a band artifact of another material decomposition image. The PCCT apparatus obtains projection data divided into plural energy bins by irradiating a subject with X-rays, and includes: a first correction unit that corrects a band artifact of a first material decomposition image among plural material decomposition images created on the basis of the projection data, and calculates a first correction amount that is a correction amount for the band artifact; an energy calculation unit that calculates an average energy of X-rays that transmit the subject; and a second correction unit that corrects the band artifact of a second material decomposition image using a second correction amount that is a correction amount calculated on the basis of the first correction amount and the average energy.