Abstract: A system and method include control of an ultrasound system transducer to acquire an echo signal power spectrum of a region of tissue for a fundamental frequency band and an echo signal power spectrum of the region of tissue for a harmonic frequency band, wherein a center frequency of the harmonic frequency band is substantially similar to a center frequency of the fundamental frequency band, determination of a first backscatter coefficient based on the echo signal power spectrum of the region of tissue for a fundamental frequency band and an echo signal power spectrum of a reference phantom for the fundamental frequency band, determination of a value representing a second backscatter coefficient and a non-linearity term associated with the region of tissue based on the echo signal power spectrum of the region of tissue for the harmonic frequency band and an echo signal power spectrum of the reference phantom for the harmonic frequency band, determination of the non-linearity term associated with the region o

Abstract: The power supply in ultrasound imaging includes a switched capacitance. The capacitance is switched on to provide power during generation of pushing pulses for elasticity imaging and is switched off during other modes of imaging.

Abstract: Disclosed herein is a material, comprising a first metal halide that is operative to function as a scintillator; where the first metal halide excludes cesium iodide (ScI), strontium iodide (SrI2), cesium bromide (CsBr), thallium doped cesium iodide (CsI:Tl), europium doped strontium iodide (SrI2:Eu), europium doped barium iodide (BaI2;EU), cerium doped strontium iodide (SrI2:Ce), cerium doped barium iodide (BaI2:Ce), cerium doped lanthanum bromide (LaBr3:Ce), and cerium doped lutetium iodide (LuI3:Ce); and a surface layer comprising a second metal halide that is disposed on a surface of the first metal halide; where the second metal halide has a lower water solubility than the first metal halide.

Abstract: For robotically operating a catheter, a medical catheter is controlled by rotation of the catheter as well as steering in one or more planes of a distal end of the catheter. To robotically rotate the catheter, a handle is rotated. The steering is performed separately using one or more knobs on the handle. The rotation of the handle complicates the robotic control of the knob. A mechanical decoupling is used so that rotation of the handle maintains the position of the knob relative to the handle. Gearing or transmission is used to avoid independent control of the knob and handle rotation. In an alternative or additional approach, the handle may be robotically controlled while also guiding the catheter shaft spaced away from the handle, allowing fine-tuned control of the catheter at the access point to the patient.

Abstract: A swivel device includes a base, a first gear fixed to the base, a tray configured to relatively rotate with respect to the base, a second gear fixed to the tray and engaged with the first gear so as to rotate together with the tray wherein the second gear has a smaller diameter than the first gear, a stopper wheel coaxially fixed to the second gear, and a stopper configured to stop rotation of the stopper wheel to fix a position of the tray.

Abstract: Systems and methods include control of a nuclear imaging scanner to acquire nuclear imaging scan data of a body, control of a computed tomography scanner to acquire computed tomography scan data of the body, determination of a scanning speed, of the nuclear imaging scanner, associated with each of a plurality of scanning coordinates based on locations of one or more internal volumes associated with radioactivity greater than a threshold level, a classification determined for each of the one or more of the internal volumes indicating a degree of clinical interest based at least in part on the radioactivity associated with the internal volume, and an attenuation coefficient map based on the computed tomography scan data, and control of the nuclear imaging scanner to scan the body over each of the scanning coordinates at the associated scanning speed.

Abstract: A system and method include training of an artificial neural network to generate an output data set, the training based on the plurality of sets of emission data acquired using a first imaging modality and respective ones of data sets acquired using a second imaging modality.

Abstract: Ultrasound-based estimation of disease activity, such as for NAS or other activity index for NAFLD for liver disease, is provided. Ultrasound measures acoustic scatter and shear wave propagation parameters, such as measuring acoustic backscatter coefficient, shear wave velocity, and shear wave damping ratio. A score for the disease activity is determined from these scatter and shear wave propagation parameters. The physician may be assisted by relatively inexpensive and rapid ultrasound as compared to biopsy or MRI based scoring in scoring activity of a disease, such as NAFLD. Ultrasound imaging is more readily available and less expensive and MRI, and is non-invasive.

Abstract: The present disclosure discloses, in one arrangement, a scintillator material made of a metal halide with one or more additional group-13 elements. An example of such a compound is Ce:LaBr3 with thallium (Tl) added, either as a codopant or in a stoichiometric admixture and/or solid solution between LaBr3 and TlBr. In another arrangement, the above single crystalline iodide scintillator material can be made by first synthesizing a compound of the above composition and then forming a single crystal from the synthesized compound by, for example, the Vertical Gradient Freeze method. Applications of the scintillator materials include radiation detectors and their use in medical and security imaging.

Abstract: For three-dimensional segmentation from two-dimensional intracardiac echocardiography imaging, the three-dimension segmentation is output by a machine-learnt multi-task generator. The machine-learnt multi-task generator is trained from 3D information, such as a sparse ICE volume assembled from the 2D ICE images. The machine-learnt multi-task generator is trained to output both the 3D segmentation and a complete volume. The 3D segmentation may be used to project to 2D as an input with an ICE image to another network trained to output a 2D segmentation for the ICE image. Display of the 3D segmentation and/or 2D segmentation may guide ablation of tissue in the patient.

Abstract: In backscatter coefficient imaging, a backscatter coefficient of one region of interest relative another region of interest is used to avoid calibration. The system effects are removed by using a frequency-dependent measure of the backscatter. The relative frequency-dependent backscatter coefficient is determined by an ultrasound scanner.

Abstract: Parameterized model reconstruction is used for internal dose tomography. The parameterized model, solved for within the reconstruction, models the dose level and may account for diffusion, isotope half-life, and/or biological half-life. Using the detected emissions from different scans (e.g., from different scan sessions in a given cycle) as input for the one reconstruction, the parameterized model reconstruction determines the biodistribution of dose at any time.

Abstract: For tissue property estimation with ultrasound, multiple different types of measurements are performed by an ultrasound system, including scatter measurements and shear wave propagation measurements. The tissue property, such as liver fat fraction, is estimated using a combination of these different types of measurements.

Abstract: Systems and methods for dose calibration. A dose calibrator may include one or more radiation sources, one or more solid-state detectors and one or more plates positioned between the one or more radiation sources and the one or more solid-state detectors. The one or more solid-state detectors capture one or more images based on emissions received from the one or more radiation sources through the one or more plates for estimating activity of the one or more radiation sources.

Abstract: A method for automatically classifying emission tomographic images includes receiving original images and a plurality of class labels designating each original image as belonging to one of a plurality of possible classifications and utilizing a data generator to create generated images based on the original images. The data generator shuffles the original images. The number of generated images is greater than the number of original images. One or more geometric transformations are performed on the generated images. A binomial sub-sampling operation is applied to the transformed images to yield a plurality of sub-sampled images for each original image. A multi-layer convolutional neural network (CNN) is trained using the sub-sampled images and the class labels to classify input images as corresponding to one of the possible classifications. A plurality of weights corresponding to the trained CNN are identified and those weights are used to create a deployable version of the CNN.

Abstract: In a chip-on-array approach, acoustic and electronic modules are separately formed. The acoustic stack is connected to one interposer, and the electronics are connected to another interposer. Different connection processes (e.g., using low temperature bonding for the acoustic stack and higher temperature-based interconnect for the electronics) may be used. This arrangement may allow for different pitches of the transducer elements and the I/O of the electronics by staggering vias in the interposers. The two interposers are then connected to form the chip-on-array.

Abstract: Machine learning trains to tune settings. For training, the user interactions with the image parameters (i.e., settings) as part of ongoing examination of patients are used to establish the ground truth positive and negative examples of settings instead of relying on an expert review of collected samples. Patient information, location information, and/or user information may also be included in the training data so that the network is trained to provide settings for different situations based on the included information. During application, the patient is imaged. The initial or subsequent image is input with other information (e.g., patient, user, and/or location information) to the machine-trained network to output settings to be used for improved imaging in the situation.

Abstract: For controlling reconstruction in emission tomography, the quality of data for detected emissions and/or the application controls the settings used in reconstruction. For example, a count density of the detected emissions is used to control the number of iterations in reconstruction to more likely avoid over and under fitting. The count density may be adaptively determined by re-binning through pixel size adjustment to find a smallest pixel size providing a sufficient count density. As another example, the detected data may have poor quality due to motion or high body mass index (BMI) of the patient, so the reconstruction is set to perform differently (e.g., less smoothing for high motion or a different number of iterations for high BMI). The quality of the data may be used in conjunction with the application or task for imaging the patient to control the reconstruction.

Abstract: Systems and methods for imaging. An external device may be used to acquire optical image data of a subject. One or more physical parameters of the subject may be determined based on the optical image data. The one or more physical parameters may be translated to one or more properties of the subject. The one or more properties may then be used to generate medical image data of the subject.

Abstract: A system and method include acquisition of a plurality of projection images of a subject, each of the projection images associated with a respective projection angle, determination, for each of the projection images, of a center-of-light location in a first image region, determination of a local fluctuation measure based on the determined center-of-light locations, and determination of a quality measure associated with the plurality of projection images based on the local fluctuation measure.