The invention relates to a method and a magnetoencephalography (MEG) measurement device. In the method there is determined the ending of a scheduled inactivity period of the MEG device. At the ending of the inactivity period a cryocooler of the MEG device is switched off. Helium is allowed to boil in the Dewar vessel of the MEG device when the MEG device is active and used to perform patient measurements. The boiled helium is collected via a compressor to an external storage tank. When a new inactivity period for the MEG device commences, the cryocooler is started anew and helium is let from the external storage tank in-to the Dewar vessel, where it is re-liquefied by the cryocooler. The compressor may be switched off when the cryocooler is switched on.

The present disclosure is directed to combined angiography and perfusion using radial imaging and arterial spin labeling.

Systems and methods for estimating quantitative histological features of a subject's tissue based on medical images of the subject are provided. For instance, quantitative histological features of a tissue are estimated by comparing medical images of the subject to a trained model that relates histological features to multiple different medical image contrast types, whether from one medical imaging modality or multiple different medical imaging modalities. In general, the trained model is generated based on medical images of ex vivo samples, in vitro samples, in vivo samples or combinations thereof, and is based on histological features extracted from those samples. A machine learning algorithm, or other suitable learning algorithm, is used to generate the trained model. The trained model is not patient-specific and thus, once generated, can be applied to any number of different individual subjects.

According to the embodiments, a medical image diagnosis apparatus includes a memory and processing circuitry. The memory stores volume data on a target portion including a vessel network and a plurality of blood vessels connected to the vessel network. The processing circuitry extracts the vessel network and the blood vessels from the volume data. The processing circuitry analyzes how hemodynamics in the vessel network are after treatment of the vessels.

When operating a brain stimulation device, it is critical to understand and control the network effects associated with the area being targeted for stimulation. The combined system and methods provided herein provides the operator with a real-time view of the brain network potentially affected by the stimulation. The system and method are capable of increasing the accuracy of diagnostic information. Additionally, disclosed herein are a system and method for combining navigated brain stimulation data and anatomical data with brain connectivity data for an individual.

A brain activity estimation device includes a facial skin temperature acquisition element and a brain activity estimation element. The acquisition element detects a skin temperature of at least part of a human face, and acquires facial skin temperature data including detected temperature data and location data of a detection region in a time series manner. The estimation element estimates human brain activity based on the facial skin temperature data acquired. The estimation element decomposes the facial skin temperature data into a plurality of components, extracts a component as a determination component, and determines whether the determination component is related to the human brain activity based on a presence or absence of a temperature change in a prescribed region of the human face.

Techniques are described for determining cognitive impairment, an example of which includes accessing a set of epochs of magnetoencephalography (MEG) data of responses of a brain of a test patient to a plurality of auditory stimulus events; processing the set of epochs to identify parameter values one or more of which is based on information from the individual epochs without averaging or otherwise collapsing the epoch data. The parameter values are input into a model that is trained based on the parameters to determine whether the test patient is cognitively impaired.

An illustrative optical measurement system includes a light source configured to emit a light pulse directed at a target. The optical measurement system further includes a plurality of photodetectors configured to operate in accordance with an input bias voltage. The optical measurement system further includes a control circuit configured to identify a photodetector subset included in the plurality of photodetectors and that detects, while the input bias voltage has a first value, photons of the light pulse after the light pulse is scattered by the target. The control circuit is further configured to determine, based on the identifying of the photodetector subset, an overvoltage associated with the photodetector subset. The control circuit is further configured to update, based on the overvoltage, the input bias voltage for the plurality of photodetectors to have a second value.

Systems and methods are provided in which local tissue diagnostic measurements are correlated with archival local tissue diagnostic data from prior tissue analyses to supplement diagnostic measurements with tissue analysis data from prior tissue analyses having similar local tissue diagnostic data. The tissue analysis data may include information such as pathology data, outcome data, and diagnosis data. The archived local tissue diagnostic data and the tissue analysis data may be stored in a database, and employed for a wide variety of methods, involving preoperative, intraoperative, and/or postoperative phases of a medical procedure. Methods and systems are also provided for displaying, on a medical image shown in a user interface, hyperlinked reference markers associated with tissue analyses, where the reference markers are shown at locations corresponding to local tissue analyses, and where associated diagnostic data and/or tissue analysis may be viewed by selecting a given reference marker.

Mechanisms for image processing are provided. A computing device comprises a memory, an input device, a display, and a processor. The processor is configured to: acquire a three-dimensional image of an anatomical structure and store it in the memory. The processor renders on the display (i) an initial volume of the three-dimensional image corresponding to an initial portion of the anatomical structure, and (ii) a moveable control element. The initial volume has an outer surface defined by a position of the control element. The processor receives input data updating the position of the control element relative to the initial volume; and renders on the display, in place of the initial volume, a further volume of the three-dimensional image, corresponding to a further portion of the anatomical structure and having a further outer surface defined by the updated position of the control element.