The purpose of the present invention is to increase accuracy of a specific test using an electronic microscope and improve work efficiency. Provided is a system that identifies test recipe information corresponding to an object to be tested on the basis of attribute information about a testing sample, and analyzes and evaluates the object to be tested contained in the testing sample by checking image data and element analysis data that are acquired by a measuring device in accordance with a control program for the test recipe information, against reference image data and reference element analysis data that are used as evaluation references for the object to be tested.

The disclosure relates generally to the field of vascular system and peripheral vascular system data collection, imaging, image processing and feature detection relating thereto. In part, the disclosure more specifically relates to methods for detecting position and size of contrast cloud in an x-ray image including with respect to a sequence of x-ray images during intravascular imaging. Methods of detecting and extracting metallic wires from x-ray images are also described herein such as guidewires used in coronary procedures. Further, methods for of registering vascular trees for one or more images, such as in sequences of x-ray images, are disclosed. In part, the disclosure relates to processing, tracking and registering angiography images and elements in such images. The registration can be performed relative to images from an intravascular imaging modality such as, for example, optical coherence tomography (OCT) or intravascular ultrasound (IVUS).

Systems, devices, methods, and computer processing products for automatically checking for errors in segmentation (contouring) using heuristic and/or statistical evaluation methods.

A mammography apparatus includes a diagnostic image acquisition unit that acquires a diagnostic image in which a calcification as a biopsy target is marked; a scout image acquisition unit that acquires a scout image obtained by imaging a mamma undergoing the biopsy from a specific direction; and a display unit that highlights a calcification (candidate for biological tissue examination) in the scout image which matches at least the marked calcification in the diagnostic image.

According to one embodiment, a medical image processing apparatus includes processing circuitry. The processing circuitry designates a region of interest in a first tomogram among multiple tomograms which are based on tomosynthesis imaging performed with a subject compressed in a first direction. The processing circuitry specifies a second tomogram corresponding to the region of interest from among multiple tomograms which are based on tomosynthesis imaging performed with the subject compressed in a second direction different from the first direction.

A computing system includes a processor; and a memory having stored thereon an adjustment application comprising computer-executable instructions that, when executed, cause the computing system to: display a graphical user interface including a digital medical image of a patient; superimpose a bounding box; receive an adjustment of an area of interest; and provide an adjusted digital medical image. A non-transitory computer-readable medium includes computer-executable instructions that, when executed via one or more processors, cause a computer to: display a graphical user interface including a digital medical image of a patient; superimpose a bounding box; receive an adjustment of an area of interest; and provide an adjusted digital medical image. A computer-implemented method includes: displaying a graphical user interface including a digital medical image of a patient; superimposing a bounding box; receiving an adjustment of an area of interest; and providing an adjusted digital medical image.

In some examples, there is described a method for processing inspection data associated with cargo irradiated by a plurality of successive pulses of X-rays. The method may involve obtaining the inspection data, the inspection data being generated as a result of scanning the cargo using a matrix including a plurality of at least two rows of detectors, and a source of the plurality of successive pulses. In some examples radiation corresponding to the plurality of successive pulses irradiating the cargo is arranged in a first order on the plurality of rows of detectors of the matrix and one or more successive reconstruction zones for the inspection data and corresponding to different orders are determined. Intermediate images of the cargo and an average image are generated. On the generated average image, pixels may be selected and neighbourhoods of the pixels having fewer artefacts may be extracted.

The present disclosure provides a computer-implemented method, a device, and a computer program product for radiographic bone mineral density (BMD) estimation. The method includes receiving a plain radiograph, detecting landmarks for a bone structure included in the plain radiograph, extracting an ROI from the plain radiograph based on the detected landmarks, estimating the BMD for the ROI extracted from the plain radiograph by using a deep neural network.

A method of generating a custom three-dimensional (3D) model of a patient bone from one or more 2D images is disclosed. The method includes obtaining a 2D image of a bone, optionally of a joint, and identifying a 3D bone template for a candidate or representative bone from a pre-aligned library of representative bones. The method further includes repositioning one or more views of the 3D model or 2D images (e.g., with respect to rotation angle or caudal angle). In an iterative process, another 3D bone model for another candidate bone can be identified based on the repositioning until an accuracy threshold is satisfied. When the accuracy threshold is satisfied, surface region(s) of the current 3D bone model can then be modified to generate the resulting 3D model for the patient bone. The process can then be repeated for other bone(s) associated with the joint of the patient.

The present embodiments generally relate to methods of non-destructively imaging plant root damage by insect root herbivores and evaluating the efficacy of insecticidal materials associated with the roots of plants against the insect root herbivores, useful for automated high throughput bioassays.