Abstract: The present disclosure relates to systems and methods for reconstructing a PET image. The systems may execute the methods to acquire PET data of a subject. The PET data may include position information of a plurality of coincident events. The plurality of coincident events may include scattering events and random events. The systems may execute the methods to select a portion of the PET data from the PET data based on the position information. The systems may execute the methods to reconstruct a first preliminary image of the subject based on the selected portion of the PET data, and project the first preliminary image. The systems may execute the methods to may determine, based on the PET data and the projection of the first preliminary image, preliminary correction data relating to the scattering events and the random events.

Abstract: An information processing apparatus for processing an image includes circuitry unit and a communication interface. The circuitry acquires identification information to identify a set of one or more objects to be imaged by an imaging device according to a predetermined imaging sequence. The communication interface transmits at least one image of the set of one or more objects that is captured by the imaging device in association with the identification information, to a management device.

Abstract: The present invention provides a gloss evaluation device, a gloss evaluation method, and a non-transitory computer readable recording medium storing gloss evaluation program capable of evaluating gloss of skin easily and highly accurately. In the gloss evaluation device of the present invention, a skin evaluation index calculation unit 5 calculates, as a skin evaluation index, a chroma difference between a portion in which it is easy for the gloss of the face of the subject to occur and a portion in which it is difficult for gloss to occur that are set as analysis ranges, and a luster and oiliness evaluation unit 6 evaluates luster and oiliness on the basis of the chroma difference.

Abstract: An information processing device includes a holding unit which holds pieces of reference data including a captured image, a position and an orientation of an imaging apparatus when the image is captured, and three-dimensional information of a feature in a space corresponding to the image in association with each other, an input unit which inputs the captured image, a derivation unit which derives a position and an orientation of the imaging apparatus when the input image is captured, an addition determination unit which determines whether a new piece of reference data is to be added, a generating unit which, if the addition determination unit determines the new piece of reference data is to be added, generates a new piece of reference data, and an updating unit which adds the generated piece of reference data and updates the pieces of reference data.

Abstract: In part, the disclosure relates to systems and methods of detecting struts in a blood vessel. In one embodiment, an intravascular data collection system and an intravascular data collection probe are used. An exemplary method may include one or more of the following steps converting an image of a blood vessel into an image mask, the image includes struts of a bioresorbable scaffold; inverting the image mask to create an inverted image mask, detecting an insular group of bright/signal containing pixels; and filtering the insular group of bright/signal containing pixels using one or more morphological filters to identify candidate struts; and validating the candidate struts to identify one or more struts of the bioresorbable scaffold.

Abstract: Methods, systems, and devices are disclosed herein for conducting skin analysis for a user.

Abstract: A method and system acquiring, processing and displaying breast ultrasound images in a way that makes breast ultrasound screening more practical and thus more widely used, and reduces the occurrence of missing cancers in screening and diagnosis, using automated scanning of chestwardly compressed breasts with ultrasound. Enhanced, whole-breast navigator overview images are produced from scanning breasts with ultrasound that emphasize abnormalities in the breast while excluding obscuring influences of non-breast structures, particularly those external to the breast such as ribs and chest wall, and differentiating between likely malignant and likely benign abnormalities and otherwise enhancing the navigator overview image and other images, thereby reducing the time to read, screen, and/or diagnose to practical time limits and also reduce screening or diagnostic errors.

Abstract: Embodiments predict prostate cancer (PCa) biochemical recurrence (BCR) employing an image acquisition circuit that accesses a pre-treatment image of a region of tissue demonstrating PCa; a segmentation circuit that segments a prostate capsule represented in the image; a registration circuit that registers the segmented prostate with a BCR? median template, and generates a registered surface of interest (SOI) mask by registering an SOI mask with the registered prostate; a mask circuit that generates a patient-specific SOI mask from the registered prostate and the registered SOI mask, and generates a patient-specific SOI mesh from the patient-specific SOI mask; a field effect induced organ distension (FOrge) circuit extracts a set of FOrge features from the patient-specific SOI mesh, and computes a probability that the region of tissue will experience BCR; and a classification circuit classifies the region of tissue as likely to experience BCR based on the probability.

Abstract: The invention relates to a method for recording the position, location or movement of a body part of a patient and a device for recording the position, location or movement of a body part or a medical instrument. According to the invention, a graphic marker is connected with the body part or the instrument and an image of the body comprising the graphic marker is generated by an image recording camera (5, 6, 7). The image is processed by a processor device (14) as an image file. The invention is characterized in that at least one geometric size characteristic of the graphic marker is known, wherein the processor device (14) determines the position, location and/or movement of the graphic marker in the three-dimensional space and in a quantitative manner relative to the image recording camera (5, 6, 7) by means of the known size characteristic.

Abstract: In one embodiment, an imaging device determines color information for a portion of organic tissue from one or more captured color images of the tissue. The imaging device identifies one or more optical properties of the portion of tissue based on the determined color information. The imaging device adjusts fluorescence data captured via one or more fluorescence images of the portion of organic tissue. The imaging device provides the adjusted fluorescence data to an electronic display for display.

Abstract: A medical image processing apparatus acquires a virtual non-contrast image generated by using a first medical image acquired by image-capturing a subject containing a contrast agent with a first energy and a second medical image acquired by image-capturing the subject with a second energy, identifies a removal-subject region included in the acquired virtual non-contrast image, identifies a region of the first medical image or the second medical image, the region corresponding to the identified removal-subject region, and changes luminance values of the identified region identified to a value lower than the luminance value.

Abstract: A method of treating a patient for a disease, such as arthritis, is described. Steps include treating an animal for the disease with a first treatment, capturing video frames, then using optical flow to compute vector fields for each frame, then taking a maximum vector value over a first time period, then selecting a set of maximum vector values over a second time period, then clipping those values to a maximum, and then computing an average of those values. This value is an efficacy and it is compared to a baseline efficacy. If the treatment is efficacious, the patient is so treated. A method of applying for a drug for approval is also described, using substantially the same steps.

Abstract: A mapping image display control device includes a lung region extraction unit 11 that extracts a lung region included in a three-dimensional image, a bronchus region extraction unit 12 that extracts a bronchus region included in the lung region, a branching position information acquisition unit 13 that acquires information about a branching position of the bronchus region, a reaching position information estimation unit 14 that estimates reaching position information about a position at which an extended line of a branch included in the bronchus region reaches a surface of the lung region on the basis of the information about the branching position, and a display control unit 15 that generates a mapping image in which the reaching position information is mapped to the surface of the lung region and that causes a display apparatus 3 to display the mapping image.

Abstract: Deep reinforcement machine learning is used to control denoising (e.g., image regularizer) in iterative reconstruction for MRI compressed sensing. Rather than requiring different machine-learnt networks for different scan settings (e.g., acceleration of the MR compressed sensing), reinforcement learning creates a policy of actions to provide denoising and data fitting through iterations of the reconstruction given a range of different scan settings. This allows a user to scan as appropriate for the patient, the MR system, the application, and/or preferences while still providing an optimized reconstruction under sampling resulting from the MR compressed sensing.

Abstract: A method for segmenting a two-dimensional angiographic recording of a vessel of a body using a computing apparatus includes providing a three-dimensional reconstruction of the vessel of the body to the computing apparatus. The two-dimensional angiographic recording of the vessel of the body is provided on the computing apparatus. The three-dimensional reconstruction of the vessel of the body is registered with the two-dimensional recording of the vessel of the body. Spatial information of the three-dimensional reconstruction is projected onto the two-dimensional recording, and the two-dimensional recording is segmented using the spatial information projected onto the two-dimensional recording.

Abstract: In an approach to tracking markers in one or more images, one or more computer processors identify objects that exist in more than one image from a plurality of images. The one or more computer processors analyze the identified objects for one or more physical characteristics. The one or more computer processors assign a marker to at least one object of the identified objects on at least one image of the more than one image, wherein the marker is annotated based upon the one or more physical characteristics of the object of the identified objects. The one or more computer processors store the more than one images, analysis data, and marker data associated with the identified objects and one or more markers. The one or more computer processors manipulate the one or more images based on a change in the objects across the more than one image.

Abstract: A radiation tomography system is provided that includes a control unit to control a data collection system to acquire first data by scanning a first scan region centered on a first position in a body axis direction of a subject in synchronization with heartbeats, and second data by scanning a second scan region adjacent to the first scan region and centered on a second position in the body axis direction in synchronization with the heartbeats. A reconstructing unit is provided to reconstruct an image of a slice between the first position and second positions using the first and second data. The reconstructing unit determines a view-angle-range-based use rate for the first data and a view-angle-range-based use rate for the second data according to the position of the slice relative to the first and second positions.

Abstract: Embodiments predict prostate cancer (PCa) biochemical recurrence (BCR) employing an image acquisition circuit that accesses a first pre-treatment image and a second pre-treatment image of a region of tissue demonstrating PCa, a distension feature circuit that extracts a set of distension features from the first pre-treatment image, and computes a first probability of PCa BCR based on the set of distension features, a radiomics circuit that extracts a set of radiomics features from the second pre-treatment image, and computes a second probability of PCa recurrence based on the set of radiomics feature, a combined tumor induced organ distension with tumor radiomics (COnTRa) circuit that computes a joint probability that the region of tissue will experience PCa BCR based on the first probability and the second probability, and a display circuit that displays the joint probability.

Abstract: An object recognition device includes a recognition unit, a recognition reliability calculation unit, and a combining unit. A recognition unit recognizes an object by a plurality of functions, based on information which is obtained by measuring an object by a plurality of measurement devices. A recognition reliability calculation unit calculates recognition reliability of recognition results that are obtained by recognizing an object by a recognition unit, for each function. A combining unit combines recognition reliability of the object and recognition results, detects a specified object, and outputs detection results of the specified object.

Abstract: An apparatus for producing a fundus image includes: a processor and a memory; an illumination component including a light source and operatively coupled to the processor; a camera including a lens and operatively coupled to the processor, wherein the memory stores instructions that, when executed by the processor, cause the apparatus to: execute an automated script for capture of the fundus image; and allow for manual capture of the fundus image.