The present disclosure provides a system and method for image data acquisition. The method may include obtaining image data of a subject including a first type of tissue and a second type of tissue. The method may include determining, based on the image data of the subject, a target portion including at least a portion of at least one of the first type of tissue or the second type of tissue. The method may include determining, based at least in part on the target portion represented in the image data, a scan mode corresponding to the target portion. The method may include causing an imaging device to acquire, based on the scan mode, image data of the target portion.

Medical imaging methods for processing a three-dimensional (3D) image data set with two-dimensional X-ray images from an X-ray machine using a target function. Methods can include providing a 3D image data set of at least one examination zone in which anatomical structures are present, segmenting the image data set to provide a 3D vascular structure model and a 3D bone structure model, recording a first two-dimensional (2D) X-ray image containing at least a portion of the vascular structure and at least a portion of the bone structure, recording a second 2D X-ray image of the examination zone at a different contrast agent concentration, and subtracting the first and second 2D X-ray images to generate a subtraction image. An optimum projective geometry may then be determined using a three-part target function based on the 3D image data and the 2D X-ray images.

An example radiography scanning system includes: a radiation detector configured to generate digital images based on incident radiation; a radiation source configured to output the radiation toward the radiation detector; a thermal sensor configured to capture thermal images and having a field of view that at least partially overlaps a projection field of the radiation; and a computing device configured to: control the radiation source; receive the digital images from the radiation detector; receive the thermal images from the thermal camera; and output the digital images and the thermal images, in real-time, to a display device.

A method for characterizing a state of an end effector of an ultrasonic device is disclosed. The ultrasonic device including an electromechanical ultrasonic system defined by a predetermined resonant frequency. The electromechanical ultrasonic system further including an ultrasonic transducer coupled to an ultrasonic blade. The method including applying, by an energy source, a power level to the ultrasonic transducer, measuring, by a control circuit coupled to a memory, an impedance value of the ultrasonic transducer, comparing, by the control circuit, the impedance value to a reference impedance value stored in the memory; classifying, by the control circuit, the impedance value based on the comparison; characterizing, by the control circuit, the state of the electromechanical ultrasonic system based on the classification of the impedance value; and adjusting, by the control circuit, the power level applied to the ultrasonic transducer based on the characterization of the state of the end effector.

A method for detecting or ruling out non-small cell lung cancer (NS-CLC) in a patient comprises: (a) administering to a patient a detectable amount of a compound of formula (I): Formula (I) wherein the compound is targeted to any NSCLC tumor in the patient; and (b) acquiring an image to detect the presence or absence of any NSCLC tumor in the patient, wherein at least one of the atoms in formula (I) is replaced with .sup.11C, .sup.13N, .sup.15O, .sup.18F, .sup.34mCI, .sup.38K, .sup.45Ti, .sup.51Mn, .sup.52Mn, .sup.52Fe, .sup.55Co, .sup.60CU, .sup.61Cu, .sup.62Cu, .sup.64Cu, .sup.66Ga, .sup.68Ga, .sup.71As, .sup.72As, .sup.74As, .sup.75Br, .sup.75Br, .sup.76Br, .sup.82Rb, .sup.86Y, .sup.89Zr, .sup.90Nb, .sup.94mTc, .sup.110mIn, .sup.118Sb, .sup.120I, .sup.121I, .sup.122I, and .sup.124I.

##STR00001##

One or more devices, systems, methods, and storage mediums using artificial intelligence application(s) using an apparatus or system that uses and/or controls one or more imaging modalities, such as, but not limited to, angiography, Optical Coherence Tomography (OCT), Multi-modality OCT, near-infrared fluorescence (NIRAF), OCT-NIRAF, etc. are provided herein. Examples of AI applications discussed herein, include, but are not limited to, using one or more of: AI coregistration, AI marker detection, deep or machine learning, computer vision or image recognition task(s), keypoint detection, feature extraction, model training, input data preparation techniques, input mapping to the model, post-processing, and/or interpretation of output data, one or more types of machine learning models (including, but not limited to, segmentation, regression, combining or repeating regression and/or segmentation), marker detection success rates, and/or coregistration success rates to improve or optimize marker detection and/or coregistration.

Systems and methods relate to multi-modal imaging of tissue combined with highly focused radiation interventions. The system is a portable multimodal imaging unit that integrates imaging and image analysis. The system can be retrofitted to use with any commercial radiation therapy machine. In one aspect, a system integrates various imaging modalities into a single, coordinated structure. The system integrates X-ray and cone beam computed tomography (CBCT), optical imaging (such as bioluminescent imaging (BLI), fluorescence tomography (FT)), and positron emission tomography (PET) imaging in a single, self-contained structure.

Methods for quantitatively separating x-ray images of a subject having three or more component materials into component images using spectral imaging or multiple-energy imaging with 2D radiographic hardware implemented with scatter removal methods. The multiple-energy system may be extended by implementing DRC multiple energy decomposition and K-edge subtraction imaging methods.

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.

Aspects of the disclosure provide for an x-ray detection device for detecting radiation scattered off of a target during an imaging procedure and generating temporal data indicating the time of occurrence of a pulse of radiation emitted towards the target. The temporal data can be sent to a host device and used to timestamp images generated from the pulses of radiation. The x-ray detection device is portable and can be installed in a catheterization laboratory or imaging environment to detect the occurrence of radiation, without occluding or partially occluding the beam source. Aspects of the disclosure also provide for a system for receiving temporal data generated by the x-ray detection device, and accurately tagging received image frames based on the temporal data.