Emission imaging data are reconstructed to generate a low dose reconstructed image. Standardized uptake value (SUV) conversion (30) is applied to convert the low dose reconstructed image to a low dose SUV image. A neural network (46, 48) is applied to the low dose SUV image to generate an estimated full dose SUV image. Prior to applying the neural network the low dose reconstructed image or the low dose SUV image is filtered using a low pass filter (32). The neural network is trained on a set of training low dose SUV images and corresponding training full dose SUV images to transform the training low dose SUV images to match the corresponding training full dose SUV images, using a loss function having a mean square error loss component (34) and a loss component (36) that penalizes loss of image texture and/or a loss component (38) that promotes edge preservation.

Disclosed are systems, devices, and methods for registering a luminal network to a 3D model of the luminal network. An example method comprises generating a 3D model of a luminal network, identifying a target within the 3D model, determining locations of a plurality of carinas in the luminal network proximate the target, displaying guidance for navigating a location sensor within the luminal network, tracking the location of the location sensor, comparing the tracked locations of the location sensor and the portions of the 3D model representative of open space, displaying guidance for navigating the location sensor a predetermined distance into each lumen originating at the plurality of carinas proximate the target, tracking the location of the location sensor while the location sensor is navigated into each lumen, and updating the registration of the 3D model with the luminal network based on the tracked locations of the location sensor.

Methods and systems for navigating to a target through a patient's bronchial tree are disclosed including a bronchoscope, a probe insertable into a working channel of the bronchoscope and including a location sensor, and a workstation in operative communication with the probe and the bronchoscope, the workstation including a user interface that guides a user through a navigation plan and is configured to present a central navigation view including a plurality of views configured for assisting the user in navigating the bronchoscope through central airways of the patient's bronchial tree toward the target, a peripheral navigation view including a plurality of views configured for assisting the user in navigating the probe through peripheral airways of the patient's bronchial tree to the target, and a target alignment view including a plurality of views configured for assisting the user in aligning a distal tip of the probe with the target.

Gamma ray detection system comprising a detection module assembly including at least two detection modules configured for positron emission tomography (PET) scanning of a target zone, each detection module comprising a plurality of stacked scintillator plates each having a major surface oriented to generally face the target zone and lateral minor surfaces defining edges of the scintillator plates, a plurality of photon sensors being mounted against said edges layer photon sensor 18a configured to detect a scintillation event in the scintillator plate from a gamma ray incident on the major surface. The gamma ray detection system is further configured to function as a Compton camera, at least one scintillator plate that is not the scintillator plate closest to the target zone being configured as an absorber scintillator plate for said Compton camera.

Provided herein is technology relating to radiology and radiotherapy and particularly, but not exclusively, to apparatuses, methods, and systems for multi-axis medical imaging of patients in vertical and horizontal positions with single or dual energy acquisition.

A system and method are provided for creating an image including quantified flow within vessels of a subject. The method includes providing a single-sweep, three-dimensional (3D) image volume acquired from a subject during a single pass of a computed tomography (CT) imaging system as the subject receives a dose of a contrast agent and determining a phase shift corresponding to pulsatile contrast in vessels within the single-sweep, 3D image volume. The method further includes quantifying a flow through the vessels within the single-sweep, 3D image volume using the phase shift and generating a report including indicating flow through the vessels within the 3D image volume.

The present disclosure provides systems and methods for hybrid imaging. The systems and methods may obtain a first magnetic resonance (MR) image of a target object. The first MR image may be acquired by a magnetic resonance imaging (MRI) device using a first imaging sequence. The systems and methods may also obtain a second MR image of the target object. The second MR image may be acquired by the MRI device using a second imaging sequence. The second MR image may correspond to a target respiratory phase of the target object. The systems and methods may also obtain a target emission computed tomography ECT) image of the target object. The target ECT image may correspond to the target respiratory phase. The systems and methods may further fuse, based on the second MR image, the first MR image and the target ECT image.

An image processing apparatus selects one or a plurality of examinations to which a medical image belongs, determines image processing candidate examinations based on the selected one or plurality of examinations, displays medical images belonging to the determined image processing candidate examinations on a display unit, and executes image processing using, of the displayed medical images, a plurality of medical images selected by a user, wherein, when the one examination is selected, the selected one examination and one or a plurality of examinations obtained by a search based on the selected one examination are determined as the image processing candidate examinations, and when the plurality of examinations are selected, in the determining, the selected plurality of examinations are determined as the image processing candidate examinations.

A medical imaging system comprises an operator terminal configured to obtain at least one image of a patient generated by a medical imaging device, receive one or more notes pertaining to the at least one image from an operator of the medical imaging device, store a clean set of images including the at least one image in at least one server, annotate the at least one image with the one or more notes to generate a set of annotated images; tag the set of annotated images as non-persistent, and store the set of annotated images in the at least one server; wherein the at least one server is configured to provide to a physician terminal both the clean set of images and the annotated set of images stored for the patient and automatically delete the one or more images tagged as non-persistent after review thereof by the physician.

A system and method for estimating vascular flow using CT imaging include a computer readable storage medium having stored thereon a computer program comprising instructions, which, when executed by a computer, cause the computer to acquire a first set of data comprising anatomical information of an imaging subject, the anatomical information comprises information of at least one vessel. The instructions further cause the computer to process the anatomical information to generate an image volume comprising the at least one vessel, generate hemodynamic information based on the image volume, and acquire a second set of data of the imaging subject. The computer is also caused to generate an image comprising the hemodynamic information in combination with a visualization based on the second set of data.