A method for displaying real-time ablation growth projections is provided. The method includes applying, by a processor, an ablation model to image data of a patient. The ablation model is based on a position of an ablation probe, and the ablation probe is coupled to the processor. The method also includes displaying, on a display coupled to the processor, a projected ablation zone on the image data. The projected ablation zone is based on ablation parameters and the position of the ablation probe. The projected ablation zone includes a margin showing a confidence level. The method further includes ablating by the ablation probe. The ablating is based on an evaluation of the projected ablation zone with respect to a target. A system for performing a microwave ablation procedure is provided. A non-transitory computer-readable storage medium storing instructions is provided.

A multimodal biometric device is disclosed. An apparatus may include a non-contact imaging system. The non-contact imaging system may include imaging optics, optical illumination optically coupled to the imaging optics, and a configurable body part support to support different body parts at corresponding focal lengths to capture different portions of the different body parts. An apparatus may also include a housing coupled to the imaging optics, the optical illumination, and the configurable body part support.

A facial information detecting unit detects facial information related to facial features of a driver of a vehicle. A physical information detecting unit detects physical information related to physical features of the driver. A driving capability estimating unit estimates a driving capability of the driver on the basis of the facial information and the physical information. A facial expression estimating unit estimates the facial expression of the driver on the basis of the facial information. An emotion estimating unit estimates the emotion of the driver represented by the degree of comfort and the degree of activeness on the basis of temporal changes in the driving capability of the driver and the facial expression of the driver.

Pulsed laser mapping imaging in a light deficient environment is disclosed. A system includes an emitter for emitting pulses of electromagnetic radiation and an image sensor comprising a pixel array for sensing reflected electromagnetic radiation. The system includes a controller configured to synchronize timing of the emitter and the image sensor. The system is such that at least a portion of the pulses of electromagnetic radiation emitted by the emitter comprises a laser mapping pattern.

Pulsed hyperspectral, fluorescence, and laser mapping imaging in a light deficient environment is disclosed. A system includes an emitter for emitting pulses of electromagnetic radiation and an image sensor comprising a pixel array for sensing reflected electromagnetic radiation. The system includes a controller configured to synchronize timing of the emitter and the image sensor. The system is such that at least a portion of the pulses of electromagnetic radiation emitted by the emitter comprises one or more of a hyperspectral emission, a fluorescence emission, or a laser mapping pattern.

The disclosure relates to techniques for scan preparation in a medical imaging system. The technique includes triggering a 3D camera acquiring a 2D color and depth image of a patient when a patient bed is at an origin position, inputting the image into a pre-trained first body information model to obtain position information of multiple body feature site points, and calculating position information of multiple candidate scanning regions in the patient bed coordinate system. The technique further includes providing the position information of the multiple candidate scanning regions to a medical imaging application apparatus, so that the medical imaging application apparatus determines position information of a current scanning region in the patient bed coordinate system and controls the patient bed to move the current scanning region to a scanning center of a medical imaging device according to the position of the patient bed relative to the scanning center.

Laser mapping imaging and videostroboscopy is described. A system includes an emitter for emitting pulses of electromagnetic radiation and an image sensor comprising a pixel array for sensing reflected electromagnetic radiation. The system includes a controller configured to cause the emitter to emit the pulses of electromagnetic radiation at a strobing frequency determined based on a vibration frequency of vocal cords of a user. The system is such that at least a portion of the pulses of electromagnetic radiation emitted by the emitter comprises a laser mapping pattern.

The present disclosure provides a system. The system may include a medical device, a couch, one or more imaging devices, and a control device. The medical device may include a cavity. The couch may be configured to support a subject. The one or more imaging devices may be configured to acquire image data. The image data may indicate at least one of a target portion of the subject or posture information of a user. The control device may be configured to control a movement of the couch based on at least one of position information of the target portion of the subject or the posture information of the user.

A method of intraoral scanning includes receiving a first one or more intraoral scans of a patient's oral cavity; automatically determining, based on processing of the first one or more intraoral scans, a first scanning role associated with the first one or more intraoral scans, wherein the first scanning role is a first one of an upper dental arch role, a lower dental arch role or a bite role; and determining a first three-dimensional surface associated with the first scanning role.

An apparatus and method are provided to simultaneously provide good image quality and fast image reconstruction from magnetic resonance imaging (MRI) data by selecting an appropriate value for the regularization parameter used in compressed sensing (CS) image reconstruction. In CS reconstruction a high-resolution image can be reconstructed from randomized undersampled data by imposing sparsity in multi-scale transformation (e.g., wavelet) domain. Further, in the transformation domain, a threshold can be determined between signal and noise levels of the transform coefficients. A regularization parameter based on this threshold scales the regularization term, which imposes sparsity, relative to the data fidelity term in an objective function, thereby balancing the tradeoff between noise and smoothing.