A gauze detection system is provided that is capable of effectively detecting a gauze pad in the patient's body during surgery without applying special processing to the gauze pad. A gauze detection system 100, includes: an image input section 1 to input a taken image of an operative field; a determination section 2 to determine whether a determination target region contains a feature of a gauze image by image processing, the region having a predetermined size in an input image; and a determination result output section 3 to report detection of a gauze pad in the input image in a case of the determination target region being determined by the determination section 2 to contain the feature of the gauze image.

A system and method for imaging an anatomical structure corresponding to an infusion therapy anatomical site includes a processor to execute applications stored in a non-transitory computerreadable medium, the applications includes a first application to receive imaging information corresponding to radiant energy from the infusion therapy anatomical site, a second application to decompose the received imaging information into discrete image components, a third application to receive at least one of patient biographic profile characteristics and infusion therapy parameters, and a fourth application to receive the discrete image components, the patient biographic profile characteristics and the infusion therapy parameters and to provide a recommended clinical intervention based on at least one of the discrete image components, the patient biographic profile characteristics, and the infusion therapy parameters.

Techniques for automatic association between physical and visual skin properties are provided. A computer system receives a two-dimensional (2D) image and a three-dimensional (3D) image associated with a person and determines surface skin properties using the 2D image and physical skin properties using the 3D image. The computer system generates a skin disorder severity assessment using associations between the surface skin properties and the physical skin properties.

Systems and methods are provided for multi-spectral or hyper-spectral fluorescence imaging. In one example, a spectral encoding device may be positioned in a detection light path between a detection objective and an imaging sensor of a microscope. In one example, the spectral encoding device includes a first dichroic mirror having a sine transmittance profile and a second dichroic mirror having a cosine transmittance profile. In addition to collecting transmitted light, reflected light from each dichroic mirror is collected and used for total intensity normalization and image analysis.

A method of providing an accurate three-dimensional scan of a dental arch area is disclosed. The arch area has two segments and a connecting area between the two segments. The connecting area has homogeneous features. A connecting-geometry tool with at least one definable feature is affixed to the arch area. The definable feature overlays at least part of the connecting area. The arch area is scanned to produce a scanned dataset of the arch area. The definable feature of the connecting-geometry tool on the connection area is determined based on the scanned dataset. The dimensions of the arch area are determined based on the data relating to the definable features from the scanned dataset.

The present disclosure discloses a panoramic stitching method, an apparatus, and a storage medium. A transformation matrix obtaining method includes: obtaining motion data detected by sensors, wherein the sensors are disposed on a probe used to collect images, and the motion data is used to represent a moving trend of the probe during image collection; inputting the motion data into a pre-trained neural network, to calculate matrix parameters by using the neural network; calculating a transformation matrix by using the matrix parameters, wherein the transformation matrix is used to stitch images collected by the probe, to obtain a panoramic image. In the present disclosure, the transformation matrix can be calculated and the images can be stitched without using characteristics of the images, and factors such as brightness and the characteristics of the images do not impose an impact, thereby improving transformation matrix calculation accuracy, and improving an image stitching effect.

The present invention relates to a blood vessel image processing method, a blood vessel image processing apparatus, a computer storage medium, and an imaging device. The method includes: obtaining blood vessel geometric structure information of a blood vessel segment of interest; obtaining vital feature information of the blood vessel segment; establishing an association relationship between the blood vessel geometric structure information and the vital feature information; and displaying the blood vessel geometric structure information and the vital feature information in the same image in a mutual fusion manner by using the association relationship as a reference. In this way, work efficiency of users can be improved by the solution.

Systems and methods for analyzing pathologies utilizing quantitative imaging are presented herein. Advantageously, the systems and methods of the present disclosure utilize a hierarchical analytics framework that identifies and quantify biological properties/analytes from imaging data and then identifies and characterizes one or more pathologies based on the quantified biological properties/analytes. This hierarchical approach of using imaging to examine underlying biology as an intermediary to assessing pathology provides many analytic and processing advantages over systems and methods that are configured to directly determine and characterize pathology from underlying imaging data.

Embodiments discussed herein facilitate building and/or employing a clinical-radiomics score for determining tumor prognoses based on a combination of a radiomics risk score generated by a machine learning model and clinico-pathological factors. One example embodiment can perform actions comprising: accessing a medical imaging scan of a tumor; segmenting a peri-tumoral region around the tumor; extracting one or more intra-tumoral radiomic features from the tumor and one or more peri-tumoral radiomic features from the peri-tumoral region; providing the one or more intra-tumoral radiomic features and the one or more peri-tumoral radiomic features to a trained machine learning model; receiving a radiomic risk score (RRS) associated with the tumor from the machine learning model; determining a clinical-radiomics score based on the RRS and one or more clinico-pathological factors; and generating a prognosis for the tumor based on the clinical-radiomics score.

An apparatus and method to assist making treatment decisions for burn injuries. The apparatus will leverage computational imaging methodologies with conventional thermographic analysis techniques. Using infrared sensors, computational image analysis, and burn assessment using thermographic imaging, a complete burn assessment imaging device can be fabricated entirely from commercially-available components. This device will use advanced software paired with a smartphone-mounted infrared camera to perform a detailed thermographic analysis using a burn triage algorithm.