Koninklijke Philips Corporation N.V.

Mark Olszewski

Joerg Bredno

Rafael Wiemker

Torbjorn Vik

Jorg Bredno

Matthew J Walker

Kirsten Regina Meetz

Ingwer Curt Carlsen

A comprehensive strategy is used to determine valid reference time-concentration curves (TCCs) from image data. The image data corresponds to a series of image scans acquired over time for an area of interest of a patient to which a contrast agent was previously administered. The image scans are initially registered to a common coordinate system. Then, observed potential reference TCCs in the image scans are compared to modeled reference TCCs to determine if the potential reference TCCs are plausible reference TCCs. Thereafter, any plausible reference TCCs are evaluated to determine if they contain residual, isolated motion artifacts. If a plausible reference TCC does not include any motion artifacts, the plausible reference TCC is considered a valid reference TCC. If a plausible reference TCC is determined to include motion artifacts, the plausible reference TCC is modified to a valid reference TCC by removing the motion artifacts, or otherwise the plausible reference TCC is rejected. The valid reference TCCs can be used to improve the effectiveness of dynamic, contrast-enhanced imaging studies.

Plausible reference curves for dynamic, contrast-enhanced imaging studies

A method and apparatus are provided for locating a mirror line for conducting a mirror analysis of an image by reflecting extracted image content from a portion of the image on one side of the mirror line and overlaying this reflected image content onto the corresponding portion of the image on the opposing side of the mirror line. The extracted image content that is reflected onto the corresponding portion of the image on the opposite side of the mirror line is continuously updated in real-time as the user manipulates the location or orientation of the mirror line.

Interactive method of locating a mirror line for use in determining asymmetry of an image

A system and method are provided to automatically assess a confidence in imaging data based on a proposed diagnostic task or treatment decision, by determining one or more imaging quality indicators relating to the imaging data corresponding to a confidence of the proposed diagnostic task or treatment decision, comparing those imaging quality indicators with confidence benchmark values, and determining a confidence value indicative of the confidence in the imaging data for purposes of performing the proposed diagnostic task or making the proposed treatment decision.

Automatic assessment of confidence in imaging data

A computing apparatus includes a processor () that evaluates at least one scan parameter of a scan protocol selected for scanning a subject with an imaging system () based on a corresponding scan parameter policy and generates a signal indicative of whether the scan parameter satisfies the scan parameter policy.

Scan parameter policy

A method for detecting a virus in a patient based on imaging data includes scanning a region of interest of the patient with an imaging device and generating imaging data indicative of the region of interest, identifying at least one marker in the image data that corresponds to the virus based on the identified at least one marker and a set of predetermined imageable markers that correspond to the virus, classifying the virus as a particular strain of the virus based on a set of classification rules, and generating a signal indicative of the particular strain. The method optionally includes generating a signal indicative of the classification and electronically conveying the signal to at least one entity.

Imaging based virus detection

A method includes using a pre-scan image to define a scan field of view for a region of interest of a patient to be scanned for at least one image acquisition of a series of image acquisitions of a scan plan, performing an image acquisition of the series based on a corresponding scan field of view for the image acquisition, and determining, via a processor (), a next field of view for a next image acquisition of the series based on available image related data.

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Solon, OH, United States of America

Mark Olszewski