The invention relates to a system for assessing a pulmonary image which allows for an improved assessment with respect to lung nodules detectability. The pulmonary image is smoothed for providing different pulmonary images (20, 21, 22) with different degrees of smoothing, wherein signal values and noise values, which are indicative of the lung vessel detectability and the noise in these images, are determined and used for determining an image quality being indicative of the usability of the pulmonary image to be assessed for detecting lung nodules. Since a pulmonary image shows lung vessels with many different vessel sizes and with many different image values, which cover the respective ranges of potential lung nodules generally very well, the image quality determination based on the different pulmonary images with different degrees of smoothing allows for a reliable assessment of the pulmonary image's usability for detecting lung nodules. The image quality is used to determine a radiation dose level to be applied for generating a next pulmonary image.

The present disclosure is related to systems and methods for image reconstruction. The method may include obtaining at least one positron emission tomography (PET) image of a subject. The at least one PET image may be generated based on PET data acquired during an examination period. In the examination period, the subject may be injected with a tracer. The method may also include determining, based on the at least one PET image, an input function that reflects a concentration change of the tracer in the subject during the examination period. The method may further include generating a parametric image based on the input function and the at least one PET image according to a non-linear parametric estimation algorithm. The parametric image may reflect a kinetic parameter of the tracer in the subject.

Embodiments include controlling a processor to access a radiological image of a region of lung tissue, where the radiological image includes a ground glass (GGO) nodule; define a tumoral region by segmenting the GGO nodule, where defining the tumoral region includes defining a tumoral boundary; define a peri-tumoral region based on the tumoral boundary; extract a set of radiomic features from the peri-tumoral region and the tumoral region; provide the set of radiomic features to a machine learning classifier trained to distinguish minimally invasive adenocarcinoma (MIA) and adenocarcinoma in situ (AIS) from invasive adenocarcinoma; receive, from the machine learning classifier, a probability that the GGO nodule is invasive adenocarcinoma, where the machine learning classifier computes the probability based on the set of radiomic features; generate a classification of the GGO nodule as MIA or AIS, or invasive adenocarcinoma, based, at least in part, on the probability; and display the classification.

A method may include identifying a simulated three-dimensional representation corresponding to an internal anatomy of a subject based on a match between a computed two-dimensional image corresponding to the simulated three-dimensional representation and a two-dimensional image depicting the internal anatomy of the subject. Simulations of the electrical activities measured by a recording device with standard lead placement and nonstandard lead placement may be computed based on the simulated three-dimensional representation. A clinical electrogram and/or a clinical vectorgram for the subject may be corrected based on a difference between the simulations of electrical activities to account for deviations arising from patient-specific lead placement as well as variations in subject anatomy and pathophysiology.

Provided is a cardiovascular disease risk analysis system and method considering sleep apnea factors to analyze a cardiovascular disease risk of sleep apnea patients.

A mechanical ventilation device comprising at least one electronic controller is configured to receive images of lungs of a patient undergoing mechanical ventilation therapy with a mechanical ventilator, the images being acquired over time and having timestamps; process the images to generate timeline images at corresponding discrete time points; and display a timeline of the timeline images on a display device.

An imaging capsule, including a radiation source, a collimator that provides a collimated beam from the radiation source, a detector configured to detect particles resulting from X-ray fluorescence and/or Compton backscattering in response to the collimated beam, a motor to rotate the collimator and detector around an axle to scan a partial or full inner circumference of a user's colon with radiation, wherein the motor comprises a segmented commutator that is fed with a power signal via brush contacts; and wherein the motor provides a pulsed output signal based on mechanical switching of the segmented commutator on the brush contacts, providing an indication of the rotation angle of the motor as a function of time.

A system and method is provided for magnetic resonance imaging (MRI) guided respiratory gated radiotherapy using a respiratory motion model. MRI-guided respiratory gating is performed with a continuously updated model that represents a patient's internal anatomy as a mathematical function of an external respiratory surrogate. The motion model may be built and updated by acquiring images of a tissue in a subject and measuring, using the images, a position of the tissue in the images to determine motion of the tissue. The surrogate respiratory signal is acquired contemporaneously with acquiring the images. Motion of the tissue and the surrogate respiratory signal are correlated to create the motion model for the subject and gating a radiotherapy system may then be based upon the motion model. A multi-planar model-based respiratory gating may also be performed by sequentially imaging a stack of adjacent slice positions.

Disclosed herein is a method comprising: forming a doped region of a semiconductor substrate by doping a surface of the semiconductor substrate with dopants; driving the dopants into the semiconductor substrate by annealing the semiconductor substrate; controlling doping profile of the doped region by repeating doping and annealing the semiconductor substrate; forming a first electrode on the semiconductor substrate, wherein the first electrode is in electrical contact with the doped region; forming an outer electrode arranged around the first electrode, wherein the outer electrode is electrically insulated from the first electrode.

There is provided a radiographic image processing apparatus including: an acquirer that acquires a dynamic image including a plurality of frame images captured by a radiographic imaging apparatus; a hardware processor that determines whether or not there is an abnormality in the dynamic image by using some of the frame images of the acquired dynamic image; and a notifier that notifies of a result of the determination by the hardware processor.