A system of medical imaging including a marking module, a classifying module, a region-of-interest determining module, a curve acquiring module and a delay calculating module. The marking module is used for marking one or more feature regions from pre-scanned images; the classifying module is used for classifying the feature regions by using a classification algorithm model; the region-of-interest determining module is used for selecting a feature region of the same type as a specific diagnostic tissue as a region of interest; the curve acquiring module is used for acquiring a curve of CT values of the region of interest in function of time, based on a relationship between the CT values and scanning time points; the delay calculating module is used for detecting a peak value of the curve and calculating a scan delay time based on a time point corresponding to the peak value.

A method for analyzing digital holographic microscopy (DHM) data for hematology applications includes receiving a plurality of DHM images acquired using a digital holographic microscopy system. One or more connected components are identified in each of the plurality of DHM images and one or more training white blood cell images are generated from the one or more connected components. A classifier is trained to identify a plurality of white blood cell types using the one or more training white blood cell images. The classifier may be applied to a new white blood cell image to determine a plurality of probability values, each respective probability value corresponding to one of the plurality of white blood cell types. The new white blood cell image and the plurality of probability values may then be presented in a graphical user interface.

A method for determining an arterial pulse wave velocity representative of a health condition of a blood vessel includes receiving an image data set comprising a plurality of images of a subject, from an imaging modality. The method also involves determining a blood vessel region in an image from the plurality of images. The method further includes determining a plurality of cross-sectional area values of a blood vessel at a plurality of locations in the blood vessel region, corresponding to a plurality of phases of a cardiac cycle of the subject and determining a plurality of flow rate values of blood flowing in the blood vessel corresponding to the plurality of cross-sectional area values. The method also includes determining a hemodynamic model based on the plurality of cross-sectional area values and the plurality of blood flow rate values and determining the arterial pulse wave velocity based on the hemodynamic model.

Method for functional imaging of the brain, comprising the following steps: (a) a brain is imaged by ultrasound imaging in order to obtain a vascular image to be studied (IVO), (b) the vascular image to he studied (IVO) is compared automatically, by shape recognition, with a cerebral vascular atlas (AV), and the vascular image to be studied (IVO) is thus located in the cerebral vascular atlas (AV), (c) a cerebral functional atlas (AF) corresponding to said cerebral vascular atlas (AV) and comprising cerebral functional zones (1c) located in this cerebral vascular atlas (AV) is used in such a way as to identify cerebral functional zones (1e) on the vascular image to be studied (IVO).

In one implementation, an apparatus estimates body core temperature from an infrared measurement of an external source point using a cubic relationship between the body core temperature and the measurement of an external source point is described, estimates temperature from a digital infrared sensor and determines vital signs from a solid-state image transducer, or determines vital signs from a solid-state image transducer and estimates body core temperature from an infrared measurement of an external source point using a cubic relationship between the body core temperature and the measurement of an external source point; after which the estimated and/or determined information is transmitted to an external database.

In one implementation, an apparatus estimates body core temperature from an infrared measurement of an external source point using a cubic relationship between the body core temperature and the measurement of an external source point is described, estimates temperature from a digital infrared sensor and determines vital signs from a solid-state image transducer, or determines vital signs from a solid-state image transducer and estimates body core temperature from an infrared measurement of an external source point using a cubic relationship between the body core temperature and the measurement of an external source point; after which the estimated and/or determined information is transmitted to an external database.

A medical imaging system configured to link acquired images to markers or tags on an anatomical illustration, based, at least in part on spatial and anatomical data associated with the acquired image. The medical imaging system may be further configured to generate a diagnostic report including the anatomical illustration containing the markers. The diagnostic report may allow a user to select a marker to view information associated with an acquired image and/or the acquired image. Multiple images may be associated with a marker, and/or multiple markers may be associated with an image. A set of 2D and/or 3D anatomical illustrations may be generated which contains markers from multiple diagnostic reports and updated automatically for an individual patient's anatomical model by the application to reflect measurements and/quantitative findings related to organ, tissue, and vessel size, location, deformation, and/or obstruction.

Images where the vascular walls are automatically divided are obtained by obtaining two MRI images that reflect different properties of the blood vessel and obtaining the difference between the two images. This can image both the vascular inner and the outer walls, thereby obtaining the exact size of the blood vessel, and the thickness between the vascular inner and outer walls. Therefore, it is possible to stably perform the operation using a stent with an accurate size during the stent procedure.

Methods and systems for alignment of a subject for medical imaging are disclosed, and involve providing a reference image of an anatomical region of the subject, the anatomical region comprising a target tissue, processing the reference image to generate an alignment reference image, displaying the alignment reference image concurrently with real-time video of the anatomical region, and aligning the real-time video with the alignment reference image to overlay the real-time video with the alignment reference image. Following such alignment, the subject may be imaged using, for example, fluorescence imaging, wherein the fluorescence imaging may be performed by an image acquisition assembly aligned in accordance with the alignment.

Systems and methods are provided for assessing patient blood flow using video image processing. According to one aspect, a method of analyzing at least one blood flow characteristic of a patient includes capturing a video including a plurality of frames of an arterio-venous (AV) fistula on the patient; amplifying motion in the video to produce a motion-amplified video; determining a difference in intensity between consecutive frames in the motion-amplified video to produce a time-function of an amplitude of the optic flow representing movement in an area of interest on the patient; and determining the at least one blood flow characteristic of the patient based on the time-function.