摘要:
An imaging system (MIS), optionally a medical imaging system, with wireless communication capability and related method. The imaging system comprises a gantry (RG) rotatable around a rotation axis. The gantry includes a detector device (D) capable of recording, in plural spatial positions, measurement data in relation to a subject (such as a patient) (PAT) to be imaged. The system also includes a radio transmitter (TX) for generating a directed radio beam propagatable along a propagation axis to transmit the measurement data to a radio receiver (RX). The radio transmitter (TX) is arranged at the rotatable gantry and is operable so that the propagation direction intersects the rotation axis in a location that is situated away from the rotatable gantry.
摘要:
An image processing system (IPS) and related method to transform different multi-modal or multi-contrast input images (u,v) into respective transformed images (U, V). The transformation may proceed iteratively to improve a regularized objective function. The regularization is via a regularizer function (R). The regularizer function (R) is computed from noise normalized gradients of the two or more transformed images (u,v).
摘要:
A system includes obtaining de-noised reconstructed image data and edge improving a sub-set of the de-noised reconstructed image data corresponding to edges of structure represented in the de-noise reconstructed image data. A system (100) includes an edge detector (202) that detects an edge map of edge locations within de-noised reconstructed image data, a noise image data generator (204) that generates noise image data by subtracting the reconstructed image data by the de-noised reconstructed image data, a noisy edge image data generator (206) that generates noisy edge image data by multiplying the noise image data and the edge map, and an edge improver (208) that generates edge improved de-noised image data by adding the noisy edge image data and a product of a weight and the de-noised reconstructed image data.
摘要:
A processing component (122) processes images based on an iterative reconstruction algorithm with regularization and/or de-noising algorithm. The processing component includes a set point determiner (224) that determines a quality set point (216) between predetermined lower and upper quality bounds (226) based on a quality variable (228) indicative of an image quality of interest. The processing component further includes a comparator (214) that compares, each processing iteration, a quality metric of a current generated image with the quality set point and generates a difference value indicative of a difference between the quality metric and the quality set point. The processing component further includes a regularization factor updater (220) that generates an updated regularization factor for a next processing iteration based on a current value (222) of the regularization factor and at least the quality metric in response to the difference value indicating that the quality metric is outside of a predetermined range about the quality set point.