A method for providing an optimum subtraction data set includes: receiving first image data sets acquired by a medical imaging device and which map an object under examination within a first time phase; receiving at least one second image data set acquired by the same or another medical imaging device and which maps a change in the object under examination within a second time phase; dividing the at least one second image data set into a plurality of image regions; generating subtraction image regions for the plurality of image regions; determining an image quality parameter for each subtraction image region; determining an optimum subtraction image region for each image region of the plurality of image regions of the at least one second image data set by comparing the image quality parameters; generating the optimum subtraction data set from the optimum subtraction image regions; and providing the optimum subtraction data set.

A medical scan viewing system is conFIG.d to: receive a first medical scan and a second medical scan from a medical picture archive system, the first medical scan associated with a unique patient ID and a first scan date and the second medical scan associated with the unique patient ID and a second scan date; identify locations of anatomical landmarks in the first medical scan; identifying corresponding locations of the anatomical landmarks in the second medical scan; co-register the first medical scan with the second medical scan based on the locations of the anatomical landmarks in the first medical scan with the corresponding locations of the anatomical landmarks in the second medical scan; and present for display, via an interactive user interface, the first medical scan with the second medical scan, wherein the first medical scan and the second medical scan are synchronously presented, based on the co-registering.

This image processing apparatus is provided with an image acquisition unit for generating a concentration change image and a control unit for performing control for displaying a blood vessel image and a concentration change image, and the control unit is configured to perform control for accepting a selection of a target region on the blood vessel image displayed on the display unit and for displaying the concentration change image corresponding to the selected target region.

According to a first aspect, the present disclosure relates to a digital holography device (100) for full-field blood flow imaging of ocular vessels of a field of view of a layer (11) of the eye (10). The device comprises an optical source (101) configured for the generation of an illuminating beam (Eobj) and a reference beam (E.sub.LO), and a detector (135) configured to acquire a plurality of interferograms (I(x,y,t)) wherein an interferogram is defined as the signal resulting from the interference between the said reference beam (E.sub.LO) and a part of said illuminating beam (Eobj) that is backscattered from said layer (11). The device further comprises a processing unit (150) configured for processing said plurality of interferograms, (I(x,y,t)), wherein said processing comprises: the calculation (202), for each interferogram, of a hologram (H(x,y,t)), resulting in a first plurality of holograms; the selection (203), in sequential time windows, (tw), of second pluralities of holograms; the calculation (204), for each said second plurality of holograms, of a Doppler power spectrum (S(x,y,f)); the calculation (205), based on said Doppler power spectrum, of at least a first Doppler image thus generating at least a first plurality of Doppler images; the processing of each first Doppler image, wherein said processing comprises the devignetting (206) of said first Doppler image, resulting in a devignetted first Doppler image; the normalization (207) of said devignetted first Doppler image based on a spatial average of an intensity of said first Doppler image, resulting in a normalized first Doppler image; and the subtraction (208), from said normalized first Doppler image, of said spatial average of said intensity of said first Doppler image, resulting in a corrected first Doppler image.

A computer-implemented method of detecting and quantifying a spinal curve is disclosed herein. The method comprises obtaining a Forward-Looking Infrared Radiometer (FLIR) camera, calibrating the FLIR camera to room temperature, stabilizing the FLIR camera for imaging of a spine of a subject at a position horizontally spaced about ½ to about 3 meters, or about ½ to about 2 meters, from the camera, scanning at least a portion of the spine with the FLIR camera to obtain thermal data, and generating an image of the subject's spine. Corresponding systems and methods also are disclosed.

The disclosure provides a system for EGRT. The system may include a radiotherapy device for treating a subject. The radiotherapy device may include a scintillation camera that is directed at an ROI of the subject. The subject may be injected with a radioactive tracer or implanted with a radioactive marker before treatment. The ROI may undergo a physiological motion during the treatment. The system may deliver a treatment session to the subject by the radiotherapy device. During the treatment session, the system may acquire a target image of the ROI indicative of a distribution of the radioactive tracer or the radioactive maker in the ROI by the scintillation camera, and adapt a radiation beam to be delivered to the subject with respect to the physiological motion of the ROI by adjusting the radiation beam based on the target image.

Systems and methods include determination of a first relationship between change in photopeak energy and event time skew based on a first detection event signal acquired from a detector at a first temperature and a subsequent detection event signal acquired from the detector at a next temperature, acquisition of a subsequent detection event signal from the detector, determination of an event time associated with this detection event signal, determination of an event time skew based on an energy of this detection event signal and the first relationship, determination of a corrected event time based on the event time and the event time skew, and identification of a coincidence based on the corrected event time.

An unauthorized visitor system collects an image of a person detected in a room of a patient. The system identifies reference points on the person's face, for example, points along the cheeks, jowls, and/or brow. The system may compare the reference points to reference points of images associated with registered visitors. The system then determines, based on the comparison, if the person is a registered visitor. One or more designated recipients may be alerted if the person is not a registered visitor or if the person breaches a patient identification zone established around a particular patient. The system may also register the person in a database of visitors.

A simplified method, an apparatus and a system for measuring coronary artery vascular evaluation parameters are provided. The measurement method comprises performing coronary angiography for a blood vessel to be measured(S100); measuring a pressure P.sub.d at a distal end of coronary artery stenosis via a pressure guide wire (S200); selecting an angiogram image of a first body position and an angiogram image of a second body position (S300); obtaining a three-dimensional coronary artery vascular model by three-dimensional modeling based on the angiogram image of the first body position and the angiogram image of the second body position (S400); obtaining a time T.sub.1 taken for a contrast agent flowing from an inlet to an outlet of a segment of blood vessel within the angiogram image of the first body position and a time T.sub.2 taken for the contrast agent flowing from an inlet to an outlet of the segment of blood vessel within the angiogram image of the second body position according to the three-dimensional coronary artery vascular model (S500); measuring coronary artery vascular evaluation parameters based on P.sub.d, T.sub.1, and T.sub.2 (S600).

A method for ascertaining pulmonary fibrosis disease progression or treatment response includes obtaining a first set of computed tomography (CT) images of a lung and determining a first Pulmonary Surface Index (PSI) score for the lung by detecting a first actual lung boundary of the lung within the first set of CT images, determining a first approximated lung boundary within the first set of CT images, and determining the PSI score using inputs based on the first actual lung boundary and the first approximated lung boundary. The method also includes obtaining a second set of CT images of the lung and determining a second PSI score for the lung using inputs based on a second actual lung boundary and a second approximated lung boundary. The method also includes assessing pulmonary fibrosis treatment response or disease progression based on the first PSI score and the second PSI score.