Provided is a system for measuring and assessing intra-ocular pressure (IOP). The system comprises a processor, a memory, a camera, and instructions written on the memory. The instructions when executed by the processor may cause the system to: capture an image of a user's eye; convert the image to a three-dimensional image; analyze the three-dimensional image; and calculate an IOP measurement.

The present invention discloses an analysis method for dynamic contrast-enhanced magnetic resonance image. Firstly, the time-series signal of vascular contrast agent concentration, AIF, of biological individual is obtained from DCE-MRI time-series data. Secondly, perform the nonlinear least sum of square fitting by using the full Shutter-Speed model (SSM.sub.full) and the simplified vascular Shutter-Speed model (SSM.sub.vas) on the DCE-MRI time-series signal of each pixel, and the fitting results of DCE-MRI time-series signal are obtained. Thirdly, the corrected Akaike Information Criterion (AIC.sub.C) score is used to comparing the DCE-MRI time-series signal fitting results to select the optimal model. If the optimal model is SSM.sub.full, distribution maps of five physiological parameters. K.sup.trans, p.sub.b p.sub.o, k.sub.bo, and k.sub.io, are produced after fitting; if the optimal model is SSM.sub.vas, distribution maps of three physiological parameters, K.sup.trans, p.sub.b, and k.sub.bo, are produced after fitting. Finally, perform error analysis on the k.sub.io and k.sub.bo, resulting the final distribution maps of k.sub.io and k.sub.bo along with distribution maps of parameters K.sup.trans, p.sub.b, p.sub.o. This method can improve the estimation accuracy of K.sup.trans, p.sub.b, p.sub.o, k.sub.bo and k.sub.io.

A system and method include identification of a blood pool region of the body based on the acquired positron emission tomography data, determination of activity in the blood pool region associated with a first time based on the acquired positron emission tomography data, determination of a scale factor based on the determined activity in the blood pool region and on an input function associated with one or more other human bodies, determination of activity in a tissue region associated with a second time based on the acquired positron emission tomography data, determination of a specific uptake ratio associated with the second time based on the activity in the tissue region, the scale factor and a value of the input function at the second time, determination of an estimate of metabolic rate in the tissue region based on the specific uptake ratio and the input function, and determination of a diagnosis associated with the tissue region based on the estimate of metabolic rate.

A method of modeling lungs of a patient includes acquiring computed tomography data of a patient's lungs, storing a software application within a memory associated with a computer, the computer having a processor configured to execute the software application, executing the software application to differentiate tissue located within the patient's lung using the acquired CT data, generate a 3-D model of the patient's lungs based on the acquired CT data and the differentiated tissue, apply a material property to each tissue of the differentiated tissue within the generated 3-D model, generate a mesh of the 3-D model of the patient's lungs, calculate a displacement of the patient's lungs in a collapsed state based on the material property applied to the differentiated tissue and the generated mesh of the generated 3-D model, and display a collapsed lung model of the patient's lungs based on the calculated displacement of the patient's lungs.

A method of determining volumetric data of a predetermined anatomical feature is described. The method comprising determining volumetric data of one or more anatomical features present in a field of view of a depth sensing camera apparatus, identifying a predetermined anatomical feature as being present in the field of view of the depth sensing camera apparatus, associating the volumetric data of one of the one or more anatomical features with the identified predetermined anatomical feature, and outputting the volumetric data of the predetermined anatomical feature. An apparatus is also described.

A difference image representing intensity differences between a first medical image and a second medical image is generated. A mixture model is fitted to an intensity distribution of the difference image to identify a plurality of probability distributions which collectively model the intensity distribution. A plurality of intensity ranges is determined as a function of the plurality of probability distributions. Image data of the difference image is labeled by determining into which of the plurality of intensity ranges said labeled image data falls. This technique more accurately details changes in medical images than known systems and methods.

Methods and systems for analyzing a field. The methods and systems acquire a thermal image indicative of thermal energy emitted by the soil and/or plants in the field and process the thermal image to assess variations in certain characteristics of the soil and/or plants.

A retina image template matching method is based on the registration and comparison between the images captured with portable low-cost fundus cameras (e.g., a consumer grade camera typically incorporated into a smartphone or tablet computer) and a baseline image. The method solves the challenges posed by registering small and low-quality retinal template images captured with such cameras. Our method combines dimension reduction methods with a mutual information (MI) based image registration technique. In particular, principle components analysis (PCA) and optionally block PCA are used as a dimension reduction method to localize the template image coarsely to the baseline image, then the resulting displacement parameters are used to initialize the MI metric optimization for registration of the template image with the closest region of the baseline image.

A system and a method for mapping lesions or damage instances of a brain. The method includes receiving a lesion segmentation mask for the brain and receiving a tractography atlas. A connectivity damage brain map is constructed from (i) superimposing the lesion segmentation mask and a tractography atlas-based image, and (ii) combining information from the lesion segmentation mask with information from the tractography atlas-based image. The tractography atlas-based image is an image obtained from the tractography atlas, and the tractography atlas-based image and the lesion segmentation mask are registered to a common space.

In this radiation fluoroscopic imaging apparatus, an image processing unit is configured to generate a first image by performing first image processing that clarifies a blood vessel as an imaging target when capturing a plurality of contrast agent images and generate a plurality of second images used to generate a differential long image by performing second image processing.