A system and method for predicting mild cognitive impairment (MCI) related diagnosis and prognosis utilizing hybrid machine learning. More specifically, the system and method produce predictions of MCI conversions to dementia and prognosis related thereof. Using available medical imaging and non-imaging data a diagnosis and prognosis model is trained using transfer learning. A platform may then receive a request from a clinician for a target patient's diagnosis or prognosis. The target patient's medical data is retrieved and used to create a model for the target patient. Then details of the target patient's model and the diagnosis and prognosis model are compared, a prediction is generated, and the prediction is returned to the clinician. As new medical data becomes available it is fed into the respective model to improve accuracy and update predictions.

The present invention relates to a method and system that automatically finds, segments and measures lesions in medical images following the Response Evaluation Criteria In Solid Tumours (RECIST) protocol. More particularly, the present invention produces an augmented version of an input computed tomography (CT) scan with an added image mask for the segmentations, 3D volumetric masks and models, measurements in 2D and 3D and statistical change analyses across scans taken at different time points. According to a first aspect, there is provided a method for determining volumetric properties of one or more lesions in medical images comprising the following steps: receiving image data; determining one or more locations of one or more lesions in the image data; creating an image segmentation (i.e. mask or contour) comprising the determined one or more locations of the one or more lesions in the image data and using the image segmentation to determine a volumetric property of the lesion.

Disclosed is a bore based medical system comprising a camera carrier configured to be mounted in the bore based medical system and configured to monitor and/or track patient motion within said bore based medical system during radiotherapy, the bore based medical system comprising a rotatable ring-gantry configured to emit a radiotherapy beam focused at an iso-center of the bore based medical system, wherein the ring-gantry is configured to rotate at least partly around a through-going bore having a front side and a back side, configured to receive from said front side, a movable couch configured to be moved into and out from the through-going bore, wherein further the through-going bore comprises an inner side facing an inside of the bore, and wherein the camera carrier is configured to be mounted inside the bore in connection with the inner side of the through-going bore.

An integrated microtomography and optical imaging system includes a rotating table that supports an imaging object, an optical stage, and separate optical and microtomography imaging systems. The table rotates the imaging object about a vertical axis running therethrough to a plurality of different rotational positions during a combined microtomography and optical imaging process. The optical stage can be a trans-illumination, epi-illumination or bioluminescent stage. The optical imaging system includes a camera positioned vertically above the imaging object. The microtomography system includes an x-ray source positioned horizontally with respect to the imaging object. Optical and x-ray images are both obtained while the imaging object remains in place on the rotating table. The stage and table are included within an imaging chamber, and all components are included within a portable cabinet. Multiple imaging objects can be imaged simultaneously, and side mirrors can provide side views of the object to the overhead camera.

One or more triggers, fluorescence or auto-fluorescence triggers, NIRAF triggers, methods of using triggers, fiber optic rotary joints (FORJ), free space beam combiners, OCT, SEE and/or fluorescence devices and systems for use therewith, methods of using and/or manufacturing same and storage mediums are provided. One or more embodiments using one or more triggers achieve structural compactness and/or high-speed acquisition while avoiding or reducing the need for high computational power. One or more embodiments use one or more triggers, one or more fluorescence triggers, one or more auto-fluorescence triggers, or NIRAF triggers, and/or one or more rotary joints, for performing pullback and/or image recording. Examples of optical applications that may involve the use of a trigger, fluorescence/auto-fluorescence trigger or NIRAF trigger, and/or a fiber optic rotary joint, include imaging, evaluating and characterizing/identifying biological objects or tissue, such as, but not limited to, for gastro-intestinal, otolaryngologic, cardio and/or ophthalmic applications.

In a biopsy needle having a hollow tubular outer needle, an inner needle that is disposed in a hollow portion of the outer needle so as to be movable in the tube axis direction relative to the outer needle, and a recessed sample collection portion that is cut inward from a circumferential surface of the inner needle, an inner hole that extends in the longitudinal direction of the inner needle on each of the inner needle distal end side and the inner needle rear end side of the sample collection portion and are opened to the sample collection portion is provided in the inner needle, and a light guide member is disposed in the inner holes. At least a part of the light guide member is fixed by filler filled in the inner holes.

A method for controlling a medical device may be provided. The method may include obtaining, via one or more cameras, first data regarding a first motion of a subject in an examination space of the medical device. The method may include obtaining, via one or more radars, second data regarding a second motion of the subject. The method may further include generating, based on the first data and the second data, a control signal for controlling the medical device to scan at least a part of the subject.

System for performing fully automatic brain tumor and tumor-aware cortex reconstructions upon receiving multi-modal MRI data (T1, T1c, T2, T2-Flair). The system outputs imaging which delineates distinctions between tumors (including tumor edema, and tumor active core), from white matter and gray matter surfaces. In cases where existing MRI model data is insufficient then the model is trained on-the-fly for tumor segmentation and classification. A tumor-aware cortex segmentation that is adaptive to the presence of the tumor is performed using labels, from which the system reconstructs and visualizes both tumor and cortical surfaces for diagnostic and surgical guidance. The technology has been validated using a publicly-available challenge dataset.

A photoacoustic image evaluation apparatus includes a processor configured to acquire a first photoacoustic image generated at a first point in time and a second photoacoustic image generated at a second point in time before the first point in time, the first and second photoacoustic images being photoacoustic images generated by detecting photoacoustic waves generated inside a subject, who has been subjected to blood vessel regeneration treatment, by emission of light into the subject; acquire a blood vessel regeneration index, which indicates a state of a blood vessel by the regeneration treatment, based on a difference between a blood vessel included in the first photoacoustic image and a blood vessel included in the second photoacoustic image; and display the blood vessel regeneration index on a display.

The invention refers to an apparatus for monitoring a subject (121) during an imaging procedure, e.g. CT-imaging The apparatus (110) comprises a monitoring image providing unit (111) providing a first monitoring image and a second monitoring image acquired at different support positions, a monitoring position providing unit (112) providing a first monitoring position of a region of interest in the first monitoring image, a support position providing unit (113) providing support position data of the support positions, a position map providing unit (114) providing a position map mapping calibration support positions to calibration monitoring positions, and a region of interest position determination unit (115) determining a position of the region of interest in the second monitoring image based on the first monitoring position, the support position data, and the position map. This allows to determine the position of the region of interest accurately and with low computational effort.