A three-dimensional model for a patient fixation device that serves to immobilize at least a portion of a particular patient when capturing CT image information of that patient is accessed and then registered with the pixels that correspond to the patient fixation device in the CT image. The model can specify rules of movement for each of a plurality of structural elements that comprise the patient fixation device and that are capable of movement relative to one another. By one approach the aforementioned registration occurs on a part-by-part basis for each of the structural elements. Following registration, the CT image can be automatically segmented.

A method for determining a quantitative result CT parameter map in a region of interest of an object under examination is described. The method includes acquiring a sequence of quantitative input CT parameter maps for at least two predetermined times, the sequence being generated by a contrast-enhanced spectral multiphase CT of the region of interest; receiving a sequence of contrast-enhanced MRI image datasets, the MRI datasets having a higher temporal resolution than the sequence of input CT parameter maps; determining a relation between the MRI image datasets and the input CT parameter maps; and determining the result CT parameter map based on the determined relation and the MRI image datasets for at least one additional time, the at least one additional time being different from the predetermined time.

The present invention discloses a method and a system of vertebral compression fracture detection. The method of vertebral compression fracture detection includes: recombining a plurality of anatomical images captured in at least a spine segment of a target individual into a 3D image; using a multi-planar reconstruction method to reformat the 3D image to obtain at least one sagittal reformatted image; using a classification model to determine whether the sagittal reformatted image covers the middle section of the vertebral column or not; using a vertebral detection method to detect each vertebral body in the sagittal reformatted image covering the middle section of the vertebral column; using a keypoint localization method to localize a plurality of keypoints of each vertebral body which was detected in the sagittal reformatted image; evaluating the compression fracture grade of each vertebral body in the sagittal reformatted image.

Imaging systems and methods are provided for scanning a patient’s head using a portable CT scanner. An imaging assembly can comprise a portable scan board on which a patient is positioned, and a corresponding portable CT scanner positioned and locked onto the portable scan board. The portable CT scanner and the portable scan board can form a portable CT scanning assembly capable of rotating an X-ray source and corresponding X-ray detector around the patient’s head to transmit X-rays through the patient’s head at one or more angles, while translating across the portable scan board to scan one or more portions of the patient’s head. A composite image reconstructed based on the rotational and translational scanning is generated representing one or more interior aspects of the patient’s head.

A method for 3D image reconstruction includes the steps of radiating an X-ray source at a predetermined angle to a photographing subject and acquiring a plurality of two-dimensional image images received through a detector, generating an image population by scaling the obtained plurality of two-dimensional image images, generating a virtual image using a pixel average between two-dimensional images from the plurality of scale-corrected two-dimensional images, and adding the virtual image to the image population, repeatedly generating a virtual image using a pixel average between two-dimensional images included in the image population until a two-dimensional image larger than a predetermined number P is generated in the image population, and generating a 3D video image using the generated 2D video image.

There are provided a medical image display apparatus, method, and program capable of reducing a burden on a doctor in a case of interpreting a medical image. At least one processor is provided, and the processor acquires a detection result of at least one region of interest included in a medical image detected by analyzing the medical image, specifies at least one region of attention to which a user has paid attention in the medical image, and distinguishably displays the detection result of the region of interest and a specification result of the region of attention on a display.

This disclosure provides methods for vascular imaging co-registration and using the co-registered imaging data in guiding live fluoroscopy. Extravascular imaging data includes an extravascular contrast image showing the portion of the blood vessel with contrast showing a visualized anatomical landmark while intravascular imaging data is obtained during a translation procedure that includes one or more intravascular images showing a detected anatomical landmark. The starting location and the ending location of the imaging element on the extravascular imaging data is marked, and the predicted location of the detected anatomical landmark on the extravascular imaging data is marked. The predicted location of the detected anatomical landmark is then aligned with the visualized anatomical landmark.

An image processing apparatus comprises an obtaining unit that obtains a plurality of images obtained by irradiating radiation having different energies, a generating unit that generates a processed image by compositing the plurality of images, and a compositing unit that generates a composite image by compositing one image among the plurality of images and the processed image so as to enhance a low-frequency component of the one image and enhance a high-frequency component of the processed image.

An x-ray imaging apparatus and associated methods are provided to execute multi-pass imaging scans for improved quality and workflow. An imaging scan can be segmented into multiple passes that are faster than the full imaging scan. Data received by an initial scan pass can be utilized early in the workflow and of sufficient quality for treatment setup, including while the another scan pass is executed to generate data needed for higher quality images, which may be needed for treatment planning. In one embodiment, a data acquisition and reconstruction technique is used when the detector is offset in the channel and/or axial direction for a large FOV during multiple passes.

Methods for identifying a disease state in a patient and/or for treating a patient having the identified disease state are disclosed and can be based on characteristics identified through machine learning models such as deep learning convolutional neural networks and that are associated with video recordings, audio recordings, infrared images, photographs, and/or radiologic patient images.