Patent classifications
A61B6/5235
Image processing device, image processing method, image processing program, image display device, image display method, and image display program
A combination unit generates a plurality of composite two-dimensional images from a plurality of tomographic images acquired by performing tomosynthesis imaging on an object using different generation methods. In this case, the combination unit generates a first composite two-dimensional image having a quality corresponding to a two-dimensional image acquired by simple imaging or a second composite two-dimensional image in which a structure included in the object has been highlighted as at least one of the plurality of composite two-dimensional images.
IMAGING SYSTEM USING X-RAY FLUORESCENCE
Disclosed herein is a system, comprising: a radiation source configured to cause emission of characteristic X-rays of a chemical element in a portion of a human body by generating and directing radiation to the portion; a first image sensor configured to capture a set of images of the portion using the characteristic X-rays; and a second image sensor configured to capture a set of tomograms using the radiation that has transmitted through the portion.
COLLIMATORS FOR MEDICAL IMAGING SYSTEMS AND IMAGE RECONSTRUCTION METHODS THEREOF
A method of imaging reconstruction includes providing a detector and a collimator, operating the detector to acquire a measured image of a target object from photons passing through the collimator, partitioning the collimator such that the collimator can be represented by a first matrix, providing an initial estimated image of the target object, and calculating an estimated image of the target object based on the measured image and the first matrix. The calculating of the estimated image includes an iteration using the initial estimated image as a starting point. The method also includes partitioning the collimator such that the collimator can be represented by a second matrix larger than the first matrix, and calculating a refined estimated image of the target object based on the measured image and the second matrix. The calculating of the refined estimated image includes an iteration using the estimated image as a starting point.
Deformable image registration based on an image mask generated based on a two-dimensional (2D) computed tomography (CT) image
In accordance with at least some embodiments of the present disclosure, a process to improve computed tomography (CT) to cone beam computed tomography (CBCT) registration is disclosed. The process may include receiving a CT image generated by CT-scanning of an object, and receiving a CBCT image generated by CBCT-scanning of the object. The process may include generating an image mask based on Digital Imaging and Communications in Medicine (DICOM) information extracted from the CBCT image. For a specific pixel in the CBCT image, the image mask contains a corresponding data-field indicating whether the specific pixel contains image data generated based on the CBCT-scanning of the object. The process may further include generating a registered image by utilizing the image mask to perform a DIR between the CT image and the CBCT image.
Patient-adaptive nuclear imaging
Systems and methods include control of a nuclear imaging scanner to acquire nuclear imaging scan data of a body, control of a computed tomography scanner to acquire computed tomography scan data of the body, determination of a scanning speed, of the nuclear imaging scanner, associated with each of a plurality of scanning coordinates based on locations of one or more internal volumes associated with radioactivity greater than a threshold level, a classification determined for each of the one or more of the internal volumes indicating a degree of clinical interest based at least in part on the radioactivity associated with the internal volume, and an attenuation coefficient map based on the computed tomography scan data, and control of the nuclear imaging scanner to scan the body over each of the scanning coordinates at the associated scanning speed.
METHODS AND SYSTEMS FOR HIGH PERFORMANCE AND VERSATILE MOLECULAR IMAGING
Improved imaging devices and methods. A portable SPECT imaging device may co-register with imaging modalities such as ultrasound. Gamma camera panels including gamma camera sensors may be connected to a mechanical arm. A coded aperture mask may be placed in front of a gamma-ray photon sensor and used to construct a high-resolution three-dimensional map of radioisotope distributions inside a patient, which can be generated by scanning the patient from a reduced range of directions around the patient and with radiation sensors placed in close proximity to this patient. Increased imaging sensitivity and resolution is provided. The SPECT imaging device can be used to guide medical interventions, such as biopsies and ablation therapies, and can also be used to guide surgeries.
SYSTEMS AND METHODS FOR AUTOMATED HEALTHCARE SERVICES
Healthcare services can be automated utilizing a system that recognizes at least one characteristic of a patient based on images of the patient acquired by an image capturing device. Relying on information extracted from these images, the system may automate multiple aspects of a medical procedure such as patient identification and verification, positioning, diagnosis and/or treatment planning using artificial intelligence or machine learning techniques. By automating these operations, healthcare services can be provided remotely and/or with minimum physical contact between the patient and a medical professional.
Method for superimposing a two-dimensional X-ray image on projective images of three-dimensional structures
Medical imaging methods for processing a three-dimensional (3D) image data set with two-dimensional X-ray images from an X-ray machine using a target function. Methods can include providing a 3D image data set of at least one examination zone in which anatomical structures are present, segmenting the image data set to provide a 3D vascular structure model and a 3D bone structure model, recording a first two-dimensional (2D) X-ray image containing at least a portion of the vascular structure and at least a portion of the bone structure, recording a second 2D X-ray image of the examination zone at a different contrast agent concentration, and subtracting the first and second 2D X-ray images to generate a subtraction image. An optimum projective geometry may then be determined using a three-part target function based on the 3D image data and the 2D X-ray images.
Image processing apparatus for C-arm
Provided is an image processing apparatus for a C-arm, including: a movement control unit which moves a C-arm which irradiates a radiation onto a bone of a subject located on a table and detects the radiation which penetrates the bone to generate a projection image for the bone, along a predetermined route; an image acquiring unit which acquires a plurality of projection images generated by the moving C-arm at every predetermined interval; and an image processing unit which generates a combined projection image in which the plurality of acquired projection images is combined, and the predetermined interval may be an interval at which a continuous panoramic image may be generated by connecting the plurality of acquired projection images.
CONCURRENT DISPLAY OF HEMODYNAMIC PARAMETERS AND DAMAGED BRAIN TISSUE
Images can be generated with overlays indicating an amount of brain tissue damage based on the disruption of blood supply. Imaging data can be analyzed to determine perfusion parameters with respect to regions of the brain of an individual. The thresholds for the perfusion parameters with respect to the presence of damaged brain tissue can be based on a period of time elapsed since the onset of a biological condition disrupting blood flow to one or more regions of the brain of the individual. The imaging data can also be analyzed to determine measures of hypodensity with respect to regions of the brain of the individual. A likelihood of the measures of hypodensity corresponding to damaged brain tissue can also be determined based on the period of time elapsed since the onset of the biological condition.