7 results about "Arterial input function" patented technology

This invention provides a method for assessing the risk of hemorrhagic transformation based on a two-compartment model, comprising: acquiring CT perfusion image sequences related to the risk of hemorrhagic transformation; extracting arterial input functions and tissue concentration-time curves from the CT perfusion image sequences; extracting spatiotemporal features from the CT perfusion image sequences using a Transformer network; inputting the spatiotemporal features into a physical information neural network and processing them through a two-compartment model to obtain preliminary parameter estimates and parameter constraint terms; determining a joint loss function based on the preliminary parameter estimates and parameter constraint terms, and using the arterial input function and tissue concentration-time curves, wherein the joint loss function includes a data fitting loss term for fitting the observed data and a physical constraint loss term for constraining the physical consistency of the two-compartment model; and assessing the risk of hemorrhagic transformation based on the joint loss function. The parameters estimated by this invention have clear physical meaning and strictly conform to the physical model, making them easy for clinicians to understand and apply, and improving the reliability of the results.

The application relates to a method and device for determining an arterial input function curve and a computer device, wherein the method for determining the arterial input function curve comprises the following steps: acquiring CT perfusion (CTP) scanning data and CT angiography (CTA) scanning data of an imaging device for a region of interest, and the CTP scanning region and the CTA scanning region have an overlapping region; determining an initial arterial input function curve based on the CTP scanning data; and supplementing the initial arterial input function curve based on the overlapping region data to obtain a target arterial input function curve, wherein the overlapping region is CTA scanning data of the overlapping region. Through the application, the problem that the arterial input function curve is inaccurate is solved, and the technical effect of improving the accuracy of the arterial input function curve is achieved.

A method for post-processing a sampled time-dependent experimental perfusion signal to generate a pharmacokinetic parameter is implemented by a processing unit of a medical-imaging analysis system, said unit having been trained beforehand in a process allowing the disrupting effect of acquisition of a perfusion sequence on arterial signals and redundancy of information related to an arterial input function shared by a set of at least two tissual signals to be learnt. Such an arterial input function is produced directly in a step by said processing unit thus trained from a first arterial input function and from tissual signals selected beforehand.

The application discloses a CT perfusion image parameter map correction method and a computer readable storage medium. The method comprises the following steps: obtaining a dynamic-venous candidate layer according to a raw CT perfusion image after pre-processing; performing baseline correction, integral screening and roughness screening on voxels in the dynamic-venous candidate layer in sequence to obtain a first type of voxels; screening a group of arterial candidate points from the first type of voxels, analyzing the group of arterial candidate points by using a maximum connected domain algorithm to obtain a group of arterial result points, and then obtaining an arterial input function; screening a group of venous candidate points from the first type of voxels, analyzing the group of venous candidate points by using the maximum connected domain algorithm to obtain a group of venous result points, and then obtaining a venous output function; obtaining a CT perfusion image parameter map; and performing partial volume effect correction on the CT perfusion image parameter map by using the arterial input function and the venous output function to obtain a corrected CT perfusion image parameter map.

The application relates to a method and device for determining an arterial input function for perfusion imaging, a computer device and a storage medium. The method comprises: acquiring three-dimensional image data corresponding to four-dimensional perfusion data scanned by a medical imaging device for a target organ; detecting whether a target arterial blood vessel exists in a slice image of the three-dimensional image data in a target direction, wherein the target direction is a transverse cross-sectional axial direction of a scanning channel of the medical imaging device; if the target arterial blood vessel exists in the slice image of the three-dimensional image data in the target direction, segmenting a target arterial blood vessel image from the slice image; and determining an arterial input function required by the target organ during perfusion parameter calculation according to a first pixel cluster obtained by clustering pixels in the target arterial blood vessel image. The method can improve the accuracy of the arterial input function for perfusion imaging.

Embodiments of the present application disclose a medical image processing method and device, an image processing apparatus and a medium. The method comprises: determining an arterial input function of an arterial blood vessel for supplying blood to a target part and attenuation coefficient enhancement information of a single voxel corresponding to the arterial blood vessel according to a plurality of groups of dynamic enhancement CT images collected at different time points; inputting the arterial input function and the attenuation coefficient enhancement information into a preset estimation model to obtain a preset blood flow parameter of the target part, the preset blood flow parameter comprising a blood flow velocity and an average transit time, and the preset estimation model being constructed based on a box-type attenuation function. The technical problem that the prior art cannot accurately determine the blood flow parameter of the dynamic enhancement CT is solved.

The present invention relates to a computed tomography perfusion (CTP)-based venous output function (VOF) detection method and system, and the CTP-based VOF detection method performed by the CTP-based VOF detection system, according to the present invention, comprises: removing bias noise from a contrast agent concentration graph in a brain region of a CTP image; excluding a graph that has a peak earlier than the peak time of an arterial input function (AIF) and aligning, to the same position as the peak of the AIF, peak values of remaining graphs; calculating a Pearson correlation coefficient with the AIF so as to select a graph having a Pearson correlation coefficient greater than or equal to a predefined threshold; generating a mask on the basis of a peak value range of a VOF candidate group selected from the selected graphs, so as to extract a final VOF graph; generating a maximum intensity projection (MIP) from the CTP image and extracting a blood vessel image; and checking a veinous positions through an operation between the mask and the VOF candidate group so as to select, as a final VOF, the VOF candidate closest to a center relative to the midline.