Systems and methods for analyzing pathologies utilizing quantitative imaging are presented herein. Advantageously, the systems and methods of the present disclosure utilize a hierarchical analytics framework that identifies and quantify biological properties/analytes from imaging data and then identifies and characterizes one or more pathologies based on the quantified biological properties/analytes. This hierarchical approach of using imaging to examine underlying biology as an intermediary to assessing pathology provides many analytic and processing advantages over systems and methods that are configured to directly determine and characterize pathology from underlying imaging data.

Compositions and methods for treating, detecting, and diagnosing cancer are disclosed.

Described herein are positron emission tomography (PET)-electron paramagnetic resonance imaging (EPRI) systems and methods of use. In one example, a PET-EPRI system includes a PET-EPR insert, a PET scanner including one or more solid-state photodetectors, and a subject module that can house a subject for scanning. The PET-EPR insert includes an EPR resonator that can nest inside the PET scanner. The EPR resonator includes a resonator that can receive the subject module, a shield encircling the resonator and one or more rapid scan coils (RS-coils) positioned around the shield. The shield can prevent electrical coupling between the RS-coils and the resonator while being transparent to annihilation photons and magnetic field scans.

Systems and methods relate to multi-modal imaging of tissue combined with highly focused radiation interventions. The system is a portable multimodal imaging unit that integrates imaging and image analysis. The system can be retrofitted to use with any commercial radiation therapy machine. In one aspect, a system integrates various imaging modalities into a single, coordinated structure. The system integrates X-ray and cone beam computed tomography (CBCT), optical imaging (such as bioluminescent imaging (BLI), fluorescence tomography (FT)), and positron emission tomography (PET) imaging in a single, self-contained structure.

An apparatus for reconstructing a positron emission tomography (PET) image, comprising processing circuitry configured to extract, from raw data obtained from a PET scanner, energy data and timing data associated with a plurality of annihilation events, the extracted energy data and the extracted timing data for each annihilation event corresponding to interactions between each of a pair of gamma rays generated by each annihilation event and one or more gamma ray detectors of the PET scanner, classify each annihilation event based on respective extracted energy data and respective extracted timing data, determine, for each annihilation event and based on a calculated timing resolution of the annihilation event, a width of a time-of-flight kernel, and reconstruct, by processing circuitry, the PET image based on the obtained raw data from the PET scanner and the determined width of the time-of-flight kernel associated with each annihilation event.

A method and apparatus for tracking disease progression as revealed by multiple lesions perform a global optimization to identify corresponding lesions by overlap, for example, after outlines of the lesions have been morphologically dilated. A clustering algorithm addresses the problem of lesions separating into parts or joining together to provide a clear picture of disease progression.

Assessment of transthyretin amyloid cardiomyopathy (ATTR-CM) can be performed by calculating a cardiac pyrophosphate activity (CPA) measurement from single-photon emission computed tomography (SPECT) images. SPECT images obtained using .sup.99mTechnetium-pyrophosphate as a radiotracer can be analyzed to calculate CPA. Scan-specific thresholds for abnormal myocardial activity are identified based on left ventricular blood pool (LVBP) radiotracer counts, then radiotracer activity in regions of the myocardium with abnormal myocardial activity is determined. Finally, a CPA measurement can be calculated as a function of the mean radiotracer counts in such regions over the maximal LVBP radiotracer activity multiplied by the volume of involvement (e.g., the volume of abnormal activity). This CPA measurement can then be used as an assessment of ATTR-CM.

A method for vascular assessment is disclosed. The method, in some embodiments, comprises receiving a plurality of 2-D angiographic images of a portion of a vasculature of a subject, and processing the images to produce a stenotic model over the vasculature, the stenotic model having measurements of the vasculature at one or more locations along vessels of the vasculature. The method, in some embodiments, further comprises obtaining a flow characteristic of the stenotic model, and calculating an index indicative of vascular function, based, at least in part, on the flow characteristic in the stenotic model.

A signal sampling method comprising: sampling an electrical signal to be measured using a pre-determined sampling method to obtain a plurality of first sampling points, each of which is represented by a first amplitude and a corresponding first time; measuring a second amplitude of the electrical signal to be measured, wherein the second amplitude is different from the plurality of the first amplitudes; and delaying the electrical signal to be measured, and using the delayed electrical signal to determine a second time when the amplitude of the electrical signal to be measured reaches the second amplitude in order to obtain a second sampling point, which is represented by the second amplitude and the second time. A greater number of sampling points can be sampled, such that the precision of sampling and also the accuracy of subsequent signal restoration may be improved.

The present disclosure is related to systems and methods for image evaluation. The method may include obtaining an original image including a representation of at least one subject. The method may include generating a plurality of target positioning results for each of the at least one subject by inputting the original image into a prediction model. The prediction model may include a plurality of branches. Each of the plurality of target positioning results may correspond to a branch of the plurality of branches. The method may include determining an evaluation result corresponding to the original image based on the plurality of target positioning results.