Systems and methods for generating MRI images of the lungs and/or airways of a subject using a medical grade gas mixture comprises between about 20-79% inert perfluorinated gas and oxygen gas. The images are generated using acquired .sup.19F magnetic resonance image (MRI) signal data associated with the perfluorinated gas and oxygen mixture.

A bone biospecific agent comprises a contrast material core, which is visible using Magnetic Resonance Imaging (MRI) or Computed Tomography (CT). The contrast material core is surrounded by a polymeric shell, which is functionalised with a bone-targeting peptide. In use, the peptide targets the biospecific agent to bone. The bone biospecific agent can be used in diagnostic imaging techniques, such as MRI and CT, and in imaging bone remodelling activities, detecting and treating pathological bone conditions and/or bone repair processes. The invention extends to the diagnosis and/or treatment of bone disease and bone pathologies using the biospecific agents.

Methods and systems are provided for improving model robustness and generalizability. The method may comprise: acquiring, using a medical imaging apparatus, a medical image of a subject; reformatting the medical image of the subject in multiple scanning orientations; applying a deep network model to the medical image to improve the quality of the medical image; and outputting an improved quality image of the subject for analysis by a physician.

A hydrolysis method for tert-butyl ester in gadolinium-based contrast agent comprises hydrolyzing the tert-butyl ester with a catalyst. The preparation method of the catalyst comprises the following steps: subjecting zirconia and titanium tetrachloride to reaction in the presence of sulfuric acid and water at 60° C. to 90° C. until solids are dissolved, adding silica to perform reaction for 1 to 5 h, filtering to obtain solids, washing and calcining the solids. This hydrolysis method does not introduce other substances that are difficult to remove, such as acids, and provides high hydrolysis efficiency and high purity of the obtained product.

The disclosure relates to the generation of radiological images of an examination area of an object under examination. On the basis of measured radiological images of an examination area that show blood vessels in the examination area with decreasing contrast intensity over time, the disclosure generates artificial radiological images of the examination area that show blood vessels with constant contrast intensity.

Methods and systems are provided for improving model robustness and generalizability. The method may comprise: acquiring, using a medical imaging apparatus, a medical image of a subject; reformatting the medical image of the subject in multiple scanning orientations; applying a deep network model to the medical image to improve the quality of the medical image; and outputting an improved quality image of the subject for analysis by a physician.

A device(100a(i), 100a(ii), 100a(iii), 100a(iv), 200 for cis-tracing polarization of .sup.12C isotope-based magnetic resource imaging contrast agents, comprising one or more diamond material structures(120(i), 120(ii), 120(iii), 120(iv), 210, 220) and one or more channels(105a(i), 105a (ii), 105a (iii), 105a (iv), 205) provided adjacent to the diamond material structures 120(i), 120(ii), 120(iii), 120(iv), 210, 220); the diamond material structures 120(i), 120(ii), 120(iii), 120(iv), 210, 220) provide a source of negatively charged nitrogen vacancy celles for polarization of a .sup.13C iso-type-based magnetic measure imaging contrast agesi disguised in one or more channels(105a (i), 105a (ii), 105a (iii), 105a (iv), 205) and cis diamond material structure(120(i), 120(ii), 120(iii), 120(iv), 210, 220) provides a light guide for light for excitation of nitrogen vacancy celles for polarization of .sup.13C isotope-based magnetic resource imaging contrast agent.

A method is for providing a medical image of a patient. The method includes acquiring medical measurement data of the patient, including a set of multiple sampled state combinations; a first state space, including first physiological states, and a second state space, including second physiological states, together spanning a third state space. Each of the combinations includes a state from the first and second state spaces, and the third state space includes the set of combinations. The method further includes generating a medical image of the patient using the medical measurement data acquired, including a further state combination; the further state combination including a state from the first and second state space, the third state space including the further state combination, and the further state combination lying within the third state space outside the set of combinations. Finally, the method includes providing the medical image of the patient generated.

Provided herein are compounds that are broad-spectrum protein kinase binding agents, detectable tracers comprising such compounds, and method of use thereof for the detection of protein kinases.

A system and method are provided for tracking magnetically-labeled substances, such as transplanted cells, in subjects using magnetic resonance imaging (MRI). The method includes obtaining a quantity of a substance that comprises an MRI contrast compound or is otherwise magnetically-labeled for purposes of an MRI scan, administering the substance into a region of interest of a subject, performing an imaging scan of a portion of the subject comprising the region of interest, obtaining an imaging data set from the scan, reducing the dataset into pixel groupings based on intensity profiles, where the pixel groupings have a pixel size larger than the expected pixel size of a unit of the MRI contrast compound or magnetically-labeled substance, extracting candidate pixel matrices from the imaging data, training a machine learning (ML) module by using the candidate pixel matrices, quantifying the presence, number and/or location of units of the substance within the subject by using the ML module, and displaying a visual representation of an identification of the substances within the subject as a result of using the ML module.