Abstract: According to one embodiment, a culture vessel includes a rigid bottom part and a wall part. The wall part has a culture medium inlet and includes a deformable portion. The culture vessel allows the deformable portion to deform so as to change the capacity of the culture vessel when a pressure of the internal space of the culture vessel varies.

Abstract: According to one embodiment, an automatic analyzing apparatus includes processing circuitry. The processing circuitry measures an electrical potential pertaining to a contact between a probe for dispensing a sample or a reagent and a liquid surface, and outputs the measured electrical potential as a measurement value, determines whether or not the measurement value is within a specific range, and outputs a determination result, and provides a notification on a state of a liquid related to the liquid surface according to the determination result.

Abstract: A medical information processing device according to an embodiment includes processing circuitry configured to acquire information on a cause of damage to a site of a patient, to specify an area where the damage is present in a medical image including the site, and to determine an amount of cells for cell therapy for the damage to the site on the basis of the acquired information on the cause and the specified area where the damage is present.

Abstract: The medical information processing device according to the embodiments includes processing circuitry configured to determine a resection target portion in a medical image depicting a target site of resection by surgical treatment, and calculate, based on the determined resection target portion, an amount of cells to be produced.

Abstract: An apparatus is provided with processing circuitry that receives a phase image acquired at a corresponding cardiac phase, determines, from the received phase image, a mask image of a particular cardiac region, applies both the determined mask image and the phase image to inputs of a trained neural network model to obtain, from outputs of the neural network model, a location probability map. The neural network model is trained with a set of input data and a corresponding set of output data. The input data includes a training mask image and a training phase image, and the output data includes a training location probability map. The processing circuitry calculates, for the cardiac phase, from the determined location probability map output from the trained neural network model, a value of a cardiac motion metric. The determined location probability map specifies a probable location of a cardiac vessel.

Abstract: An image reconstruction apparatus according to an embodiment includes a processing circuitry configured to reconstruct at least one image from a plurality of pieces of k-space data acquired in a time direction. The processing circuitry performs image estimation calculation that reconstructs estimated images sharing the k-space data in the time direction, and adaptation calculation that adapts the estimated images to prior knowledge in the time direction.

Abstract: An image processing apparatus according to an embodiment includes processing circuitry. The processing circuitry is configured to obtain three-dimensional image data of a brain acquired by performing a magnetic resonance imaging process. The processing circuitry is configured to generate a projection image rendering a micro bleed or calcification occurring in the brain by performing a projecting process on the three-dimensional image data in a range limited on the basis of a shape of the brain. The processing circuitry is configured to output the projection image.

Abstract: The present disclosure relates to a method for patient-specific optimization of imaging protocols. According to an embodiment, the present disclosure relates to a method for generating a patient-specific imaging protocol, comprising acquiring scout scan data, the scout scan data including scout scan information and scout scan parameters, generating a simulated image based on the acquired scout scan data, deriving a simulated dose map from the generated simulated image, determining image quality of the generated simulated image by applying machine learning to the generated simulated image, the neural network being trained to generate at least one probabilistic quality representation corresponding to at least one region of the generated simulated image, evaluating the determined image quality relative to a image quality threshold and the derived simulated dose map relative to a dosage threshold, optimizing.

Abstract: An ultrasonic probe according to an embodiment includes a first transducer group and a second transducer group. The first transducer group includes a plurality of transducers arranged along a first direction. The second transducer group is a second transducer group arranged in an inverted direction with respect to the first transducer group, and includes a plurality of transducers arranged along a second direction different from the first direction.

Abstract: An image processing apparatus according to embodiments extracts a region of interest including a specified point on medical image data. The image processing apparatus includes processing circuitry. The processing circuitry extracts a first extraction region estimated as the region of interest from first partial image data included in a first processing range that includes the specified point of the medical image data. The processing circuitry extracts a second extraction region estimated as the region of interest from second partial image data included in a second processing range that is in contact with an edge portion of the first processing range or that includes at least a part of the edge portion, from the medical image data when the first extraction region is determined as a part of the region of interest.

Abstract: An analyzing apparatus according to an embodiment includes processing circuitry. The processing circuitry acquires a plurality of time-series medical images. The processing circuitry calculates, for each of image pairs each formed of two medical images included in the medical images, a first index value indicating similarity between image signals in the two medical images. The processing circuitry also calculates, on the basis of a plurality of the first index values calculated for the respective image pairs, a second index value corresponding to a statistical value in a time direction of the first index values.

Abstract: A medical information processing system for processing medical data relating to a target patient comprises a memory storing a knowledge base, wherein the knowledge base is based on medical knowledge; and processing circuitry configured to receive trigger information; and determine a necessity of alerting relating to the trigger information based on the trigger information and the knowledge base.

Abstract: An ultrasonic diagnostic apparatus according to the present disclosure includes: an ultrasonic probe connected to an apparatus body, comprising a battery that supplies power to components of the ultrasonic probe and a cooler that cools inside the ultrasonic probe; and a drive controller that drives the cooler based on a remaining level of the battery and an internal temperature of the ultrasonic probe.

Abstract: A PET-CT apparatus according to the embodiment includes processing circuitry. The processing circuitry scans a subject to acquire an attenuation-correcting CT image, identifies a respiratory phase of the subject when the CT image is scanned, acquires PET scan data that is based on a gamma ray emitted from the subject, generates gate data by gating the PET scan data based on the respiratory phase, and reconstructs a PET image based on the CT image and the gate data.

Abstract: According to one embodiment, a medical information processing apparatus includes processing circuitry. The processing circuitry determines whether or not a plurality of ultrasonic images are images collected by a stress echocardiography method. The processing circuitry adds attribute information to each of the ultrasonic images if it is determined that the ultrasonic images are images collected by the stress echocardiography method, the attribute information concerning at least one of a stress state of a subject and a slice of the ultrasonic image.

Abstract: A cell management system according to an embodiment includes an analysis apparatus and a determination apparatus. The analysis apparatus acquires a first identification code from a processing sample from which a cell used for treatment is produced, or from a processed product based on the processing sample, and acquires a second identification code from a reference sample. Based on the first identification code and the second identification code, the determination apparatus determines the consistency of a subject from whom the processing sample is obtained and a subject from whom the reference sample is obtained.

Abstract: A method is provided for determining a scatter fraction for a radiation diagnosis apparatus. The method includes acquiring an energy spectrum from list mode data obtained from a scan performed using the radiation diagnosis apparatus; determining, from the acquired list mode data, a first number of events occurring in a first energy window spanning a first energy range; determining, from the acquired list mode data, a second number of events occurring in a second window, the second energy window spanning a second energy range different from the first energy range; calculating a singles scatter fraction based on the determined first number of events and the determined second number of events; and reconstructing an image based on the acquired list mode data and the calculated singles scatter fraction.

Abstract: A magnetic resonance imaging apparatus includes sequence controlling circuitry and processing circuitry. The sequence controlling circuitry executes (i) a first pulse sequence in which a spatially selective Inversion recovery (IR) pulse and a spatially non-selective IR pulse are applied, and (ii) a second pulse sequence in which the spatially non-selective IR pulse is applied without applying the spatially selective IR pulse, while varying the first TI period, with respect to a plurality of first TI periods. The sequence controlling circuitry executes (iii) the third pulse sequence in which the spatially selective IR pulse and the spatially non-selective IR pulse are applied, and (iv) the fourth pulse sequence in which the spatially non-selective IR pulse is applied without applying the spatially selective IR pulse. The processing circuitry generates a magnetic resonance image of an imaged region based on data obtained from the third pulse sequence and the fourth pulse sequence.

Abstract: According to one embodiment, an ultrasound diagnostic apparatus includes processing circuitry. The processing circuitry forms a first transmission beam in a plurality of directions belonging to a first group, forms at least one first reception beam, forms a second transmission beam in a plurality of directions belonging to a second group, after an elapse of a time from performing a scan for the first group, forms at least one second reception beam, applies a wall filter to reception signals obtained by the first and the second reception beams, calculates bloodstream information based on the filtered reception signals, and generates image data based on the calculated bloodstream information.

Abstract: A medical image processing apparatus according to the present embodiment includes processing circuitry. The processing circuitry inputs a first magnetic resonance image reconstructed with super-resolution processing on magnetic resonance data and a second magnetic resonance image obtained by imaging the same object as that of the first magnetic resonance image and with artifacts suppressed compared with the first magnetic resonance image, to a leaned model, the learned model being configured to output a third magnetic resonance image having the same resolution as that of the first magnetic resonance image and with the artifacts suppressed, generates the third magnetic resonance image based on the first magnetic resonance image and the second magnetic resonance image, using the learned model.