The present disclosure may provide a method for perfusion analysis. The method may include: obtaining a plurality of scan images corresponding to a plurality of time points; obtaining a plurality of time-density discrete points based on the plurality of scan images; determining an initial time-density curve based on the plurality of time-density discrete points, the initial time-density curve indicating a density variation of a contrast agent in an organ or tissue over time, the organ or tissue corresponding to a pixel or voxel in the plurality of scan images; obtaining a first perfusion model; determining a first perfusion parameter based on the first perfusion model and the initial time-density curve; obtaining a second perfusion model; and determining a second perfusion parameter based on the second perfusion model and the first perfusion parameter.

An embodiment is proposed for analyzing a body-part perfused with a contrast agent, which has been pre-administered as a bolus to circulate through the body-part with a first passage and possibly with at least one second passage during an analysis interval. A corresponding data-processing method includes the steps of providing at least one input signal indicative of a response to an interrogation signal of a corresponding location of the body-part during the analysis interval, and fitting each input signal over the analysis interval by an instance of a combined bolus function of time, based on a combination of a first simple bolus function of time modeling the first passage of the contrast agent and at least one second simple bolus function of time each one modeling a corresponding second passage of the contrast agent, being defined by the values of a set of first fitting parameters of the first simple bolus function, a set of second fitting parameters of each second simple bolus function and a delay parameter of each second simple bolus function with respect to the first simple bolus function. In an embodiment, the step of fitting each input signal includes estimating a peak instant of the input signal when the corresponding response reaches an absolute peak, setting a truncation interval within the analysis interval according to the peak instant, fitting a truncated signal defined by the input signal over the truncation interval by an instance of a truncated simple bolus function of time, modeling a single passage of the contrast agent during the truncation interval, being defined by the values of a set of truncated fitting parameters, and initializing the first fitting parameters, the second fitting parameters of each second simple bolus function and the delay parameter of each second simple bolus function according to the values of the truncated fitting parameters.

A system and method for evaluating subjects using MRI and a contrast agent that overcomes the low sensitivity nature of previous detection methods is provided by using a 3D golden-angle-based radial sampling approach. In one configuration, direct detection of metabolic H.sub.2.sup.17O generated from mitochondrial respiration may be imaged. Radial encoding allows for the use of ultra-short echo-time to compensate for signal loss due to the short T.sub.2 relaxation time of .sup.17O and other contrast agents. In addition, the golden-ratio-based sampling scheme has the flexibility of enabling various undersampling schemes and retrospective selection of temporal resolution for dynamic imaging. A 3D radial sampling scheme may also give rise to additional SNR gain by further shortening the echo-time.

Method for real-time vascular modeling and assessment. Modeling, 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 automatically detect 2-D features, for example, paths along vascular extents, which are projected into 3-D to determine homologous features among blood vessels and construct 3-D vascular extents and determine other vascular characteristics. Assessment, in some embodiments, comprises processing models selectively different from one another to produce one or more vascular indexes which indicate a diagnostic preference, for example, to perform a medical intervention such as a stent implantation. Speed is achieved, for example, by the method being optimized for determining the effects of a medical intervention. In some embodiments, results are produced quickly enough to allow use of the method to perform PCI within the same catheterization used to perform diagnostic imaging.

The brain appears to have organized cardiac frequency angiographic phenomena with such coherence as to qualify as vascular pulse waves. Separate arterial and venous vascular pulse waves may be resolved. This disclosure states the method of extracting a spatiotemporal reconstruction of the cardiac frequency phenomena present in an angiogram obtained at faster than cardiac frequency. A wavelet transform is applied to each of the pixel-wise time signals of the angiogram. If there is motion alias then instead a high frequency resolution wavelet transform of the overall angiographic time intensity curve is cross-correlated to high temporal resolution wavelet transforms of the pixel-wise time signals. The result is filtered for cardiac wavelet scale then pixel-wise inverse wavelet transformed. This gives a complex-valued spatiotemporal grid of cardiac frequency angiographic phenomena. It may be rendered with a brightness-hue color model or subjected to further analysis.

A method for measuring a physiological signal is provided, including the steps of: receiving a video and performing face detection for each image frame thereof; performing photo-plethysmography (PPG) calculation and analysis on first face image for first image frame to obtain first PPG information of first regions and second PPG information of corresponding second regions; determining at least one region-of-interest (ROI) and one noise reference region according to the first PPG information and the second PPG information; generating ROI information and noise reference region information based on the ROI and the noise reference region; and performing the PPG calculation and analysis on the ROI and the noise reference region of the second face image of each subsequent second image frame and generating corresponding third PPG information; and counting the PPG information of all the image frames to calculate a measured value of a physiological signal.

A medical image processing apparatus according to an embodiment includes processing circuitry. The processing circuitry is configured to obtain a chronological transition of signal intensities for each of the pixels in a plurality of X-ray images chronologically acquired by using a contrast media. The processing circuitry is configured to correct the chronological transition of the signal intensities on the basis of a level of similarity between at least two mutually-different signal intensities within the chronological transition of the signal intensities.

Provided is a technique for deriving a mathematical function for defining arterial and venous blood flow in the body by using a four-dimensional medical image. A method of analyzing blood flow by using a medical image according to an embodiment of the present disclosure includes: determining a position of a blood vessel from four-dimensional medical image data that is obtained by combining data of three-dimensional medical images of a patient's body captured at a preset period; deriving a primary function for an arterial input function and a venous output function by using a vascular signal in a head region and a vascular signal in a heart region from among vascular signals included in three-dimensional medical image data for the position of the blood vessel determined in the determining; and deriving a secondary function that is a final function for the arterial input function and the venous output function by using the primary function and a vascular signal in a neck region.

An electronic device includes a first sensor, a camera, and a processor functionally connected to the first sensor and the camera, wherein the processor is configured to acquire a first biometric signal through the first sensor and a second biometric signal through the camera at a first location, acquire a third biometric signal through the first sensor and a fourth biometric signal through the camera at a second location, and determine a blood pressure based on the first biometric signal and the second biometric signal acquired at the first location and the third biometric signal and the fourth biometric signal acquired at the second location.

Embodiments disclose systems and methods that aid in screening, diagnosis and/or monitoring of medical conditions. The systems and methods may allow, for example, for automated identification and localization of lesions and other anatomical structures from medical data obtained from medical imaging devices, computation of image-based biomarkers including quantification of dynamics of lesions, and/or integration with telemedicine services, programs, or software.