The disclosure relates to compositions comprising isolated mitochondria or combined mitochondrial agents, and methods of treating or preventing disorders or damage associated with ischemia-reperfusion injury (IRI) using such compositions.

A computer-executed method implementing a deep learning technique is carried out to perform on canine thoracic radiographic images an automated diagnosis of left atrial enlargement as an early sign of myxomatous mitral valve insufficiency.

The disclosure relates to techniques for determining a motion parameter of a heart. A subset of a sequence of cardiac MR images is applied as a first input to a first trained convolutional neural network configured to determine, as a first output, a probability distribution of at least 2 anatomical landmarks. The sequence of cardiac MR images is cropped and realigned based on the at least 2 anatomical landmarks to determine a reframed and aligned sequence of new cardiac MR images showing the same orientation of the heart. The reframed and aligned sequence of new cardiac MR images is applied to a second trained convolutional neural network configured to determine, as a second output, a further probability distribution of the at least 2 anatomical landmarks in each new MR image of the reframed and aligned sequence, the motion parameter of the heart is determined based on the second output.

Assessment of transthyretin amyloid cardiomyopathy (ATTR-CM) can be performed by calculating a cardiac pyrophosphate activity (CPA) measurement from single-photon emission computed tomography (SPECT) images. SPECT images obtained using .sup.99mTechnetium-pyrophosphate as a radiotracer can be analyzed to calculate CPA. Scan-specific thresholds for abnormal myocardial activity are identified based on left ventricular blood pool (LVBP) radiotracer counts, then radiotracer activity in regions of the myocardium with abnormal myocardial activity is determined. Finally, a CPA measurement can be calculated as a function of the mean radiotracer counts in such regions over the maximal LVBP radiotracer activity multiplied by the volume of involvement (e.g., the volume of abnormal activity). This CPA measurement can then be used as an assessment of ATTR-CM.

A method for vascular assessment is disclosed. The method, 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 produce a stenotic model over the vasculature, the stenotic model having measurements of the vasculature at one or more locations along vessels of the vasculature. The method, in some embodiments, further comprises obtaining a flow characteristic of the stenotic model, and calculating an index indicative of vascular function, based, at least in part, on the flow characteristic in the stenotic model.

There is provided a medical image processing apparatus which includes a first extraction unit configured to extract coronary arteries depicted in images of a plurality of time phases relating to the heart, and to extract at least one stenosed part depicted in each coronary artery; a calculation unit configured to calculate a pressure gradient of each of the extracted coronary arteries, based on tissue blood flow volumes of the coronary arteries; a second extraction unit configured to extract an ischemic region depicted in the images; and a specifying unit configured to specify a responsible blood vessel of the ischemic region by referring to a dominance map, in which each of the extracted coronary arteries and a dominance territory are associated, for the extracted ischemic region, and to specify a responsible stenosis, based on the pressure gradient corresponding to a stenosed part in the specified responsible blood vessel.

An exemplary system, method and computer-accessible medium for detecting an anomaly(ies) in an anatomical structure(s) of a patient(s) can be provided, which can include, for example, receiving imaging information related to the anatomical structure(s) of the patient(s), classifying a feature(s) of the anatomical structure(s) based on the imaging information using a neural network (s), and detecting the anomaly(ies) based on data generated using the classification procedure. The imaging information can include at least three images of the anatomical structure(s).

Embodiments for assessing flow at an anatomical region of interest are disclosed. One embodiment uses pulsed contrast media injections at a known frequency along with corresponding image data to derive a measurement of blood flow velocity at the region of interest. Another embodiment uses incremental changes in known contrast media injection flow rates to match the blood flow rate relative to one of these known contrast media injection flow rates based on the presence of a particular indicia in image data. For example, this indicia can be the flow of contrast media out from a coronary artery back into the aorta or the onset of a steady state pixel density. A further embodiment uses contrast media injections that are synchronized with the cardiac cycle. For example, contrast media injections can be synchronized with the diastolic and/or systolic phases and used to measure blood flow accordingly.

According to one embodiment, an image processing apparatus includes at least one of memory and processing circuitry. The memory stores a first medical image of a heart area acquired in a plurality of directions and a second medical image of the heart area acquired in real time. The processing circuitry is configured to set, based on the first medical image, each of a valve boundary line indicating a boundary between leaflets of a heart valve and an insertion point on an inner wall through which a catheter is inserted, generate a navigation graphic including the valve boundary line and the safety lines by generating a plurality of safety lines individually connecting the insertion point to ends of the valve boundary line, and superimpose the navigation graphic on the second medical image to generate a superimposed image.

Methods and systems are provided for cardiac computed tomography imaging. In one embodiment, a method comprises reconstructing an image from projection data acquired during a scan with a reconstruction time determined based on a model relating a timing of an event to be imaged to a heart rate measured during the scan. In this way, the timing of a reconstruction may be consistently applied for a series of reconstructions, thereby inherently registering the reconstructions.