In a method and system, a medical imaging modality and the parameters to be deployed for the determined imaging modality are determined to produce an image of an examination object using the determined imaging modality and the determined parameters. Information from the preliminary examination(s) of the examination object can be automatically classified to generate classification results corresponding to interfering influence(s) resulting from the production of the image. The classification results can be analyzed to evaluate the classification results. The medical imaging modality and the parameter(s) is determined, based on the evaluated results, to minimize an influence of the interfering influences of the classification results in image(s) of the examination object generated using the determined medical imaging modality and the determined one or more parameters. The image(s) may then be generated using the determined medical imaging modality and the determined parameter(s).

Peptides that home, target, migrate to, are directed to, are retained by, or accumulate in and/or bind to the cartilage or kidney of a subject are disclosed. Pharmaceutical compositions and uses for peptides or peptide-active agent complexes comprising such peptides are also disclosed. Such compositions can be formulated for targeted delivery of an active agent to a target region, tissue, structure or cell in the cartilage. Targeted compositions of the disclosure can deliver peptide or peptide-active agent complexes to target regions, tissues, structures, or cells targeted by the peptide.

A method includes providing a proton computed tomography (CT) scanner, and measuring sigma with a scintillator screen at an exit beam for each pencil beam scanned across an object for each gantry angle necessary to determine a total energy loss as the beam traverses an object of unknown thickness or material.

The present disclosure provides medical devices and methods thereof. The medical device may include a housing, a positron emission tomography (PET) detector module, and a radio frequency (RF) coil. The housing may form a scanning tunnel for accommodating a subject. The PET detector module may be arranged along a circumference of the scanning tunnel. The RF coil may be arranged along the circumference of the scanning tunnel. The RF coil may include a first RF coil and a second RF coil. The first RF coil and the second RF coil may be disposed coaxially around an axial direction of the scanning tunnel. A projection of the second RF coil along a radial direction of the scanning tunnel may cover at least a portion of a gap of the first RF coil.

An apparatus is configured to receive input image data corresponding to output image data of a first radiology scanner device, translate the input image data into a format corresponding to output image data of a second radiology scanner device and generate an output image corresponding to the translated input image data on a post processing imaging device associated with the first radiology scanner device. Medical images from a new scanner can be translate to look as if they came from a scanner of another vendor.

A method for gating in tomographic imaging system includes steps of: (a) performing a tomographic imaging on an object with a target moving periodically along a first axis for acquiring projection images; (b) obtaining projected curves by summing up pixel values along a direction of a second axis perpendicular to the first axis in each projection image; (c) determining a target zone on the projection images, wherein a central position on the first axis of the target zone is corresponding to a position having the largest variation in the projected curves on the first axis; (d) calculating parameter values of pixel values in the target zones and obtaining a curve of a moving cycle of the target according to the parameter values; and (e) selecting the projection images under the same state in the moving cycle for image reconstruction according to the curve of the moving cycle of the target.

The disclosure herein relates to systems, methods, and devices for medical image analysis, diagnosis, risk stratification, decision making and/or disease tracking. In some embodiments, the systems, devices, and methods described herein are configured to analyze non-invasive medical images of a subject to automatically and/or dynamically identify one or more features, such as plaque and vessels, and/or derive one or more quantified plaque parameters, such as radiodensity, radiodensity composition, volume, radiodensity heterogeneity, geometry, location, and/or the like. In some embodiments, the systems, devices, and methods described herein are further configured to generate one or more assessments of plaque-based diseases from raw medical images using one or more of the identified features and/or quantified parameters.

A computer-implemented tumor position determining model is trained, based on a plurality of sets of image data, to determine a subsequent position of a tumor in a subject based on a subsequent 2D or 3D representation of a surface of the subject, an initial image of the tumor in the subject and an initial 2D or 3D representation of a surface of the subject. Each set of image data comprises an initial training image of a tumor in a subject, an initial training 2D or 3D representation of a surface of the subject, a subsequent training image of the tumor in the subject and a subsequent training 2D or 3D representation of a surface of the subject. The subsequent training image and the subsequent training 2D or 3D representation are taken at a subsequent point in time than the initial training image and the initial training 2D or 3D representation and the plurality of sets of image data are from a plurality of different subjects.

An imaging system is provided. A method for installing the imaging system is provided. The imaging system may include a first modality imaging apparatus. The first modality imaging apparatus may have a detector including a scintillator unit, a photodetector unit, a circuit unit, a supporting block, and a supporting board. The supporting block may be disposed on an end of the scintillator unit. The supporting board may be disposed between the photodetector unit and the circuit unit.

A medical imaging system for detecting ionizing radiation. The system includes one or more pixilated imagers positioned to acquire patient image data and one or more position sensors positioned to acquire patient position data. Once the patient image data and patient position data are acquired, one or more processors operably connected to each of the one or more pixilated imagers and one or more position sensors calculate a three-dimensional mass distribution based on patient image data and patient position data.