Methods and systems are disclosed for extracting an image of a target fluorophore in a biological material, which involve inducing both autofluorescence of the biological material and fluorescence of the fluorophore, acquiring an image arising from both the autofluorescence of the biological material and the fluorophore, and an image arising only from the autofluorescence, subtracting the two images to produce an image representing only the fluorophore, wherein relative intensities of the excitation light used to induce the autofluorescence and the fluorescence are modulated prior to acquiring the images.

A method for delivering therapeutic ultrasound to a patient to ensure full treatment of targeted tissue can include performing preoperative imaging of a first volume of targeted tissue of a patient using an ultrasound probe and creating a first treatment plan. Energy can be delivered into at least a distal portion of the first volume. The amount of energy delivered can be sufficient to produce swelling of tissue in the first volume. The first volume can be reimaged to identify if any changes have occurred in at least one of a size, shape and location of the first volume of the targeted tissue. A second treatment plan can be designed to treat a second volume of tissue equivalent to the changed first volume of targeted tissue. Energy can be delivered into the second volume of the targeted tissue.

In one embodiment, a medical image processing apparatus which analyzes blood flow dynamics in a predetermined region of a subject, the blood flow dynamics being generated from medical images obtained by imaging the predetermined region in time sequence over a plurality of time phases. The medical image processing apparatus includes memory circuitry configured to store a program; and processing circuitry configured to correct pixel values of a second medical image according to an amount of deformation of the second medical image when the second medical image is aligned with a first medical image by executing the program read out from the memory circuitry, the first medical image and the second medical image being among the medical images in the plurality of time phases,

In one embodiment, a method of amplifying temporal variation in at least two images comprises examining pixel values of the at least two images. The temporal variation of the pixel values between the at least two images can be below a particular threshold. The method can further include applying signal processing to the pixel values.

There is provided a medical image processing apparatus which includes a first extraction unit configured to extract coronary arteries depicted in images of a plurality of time phases relating to the heart, and to extract at least one stenosed part depicted in each coronary artery; a calculation unit configured to calculate a pressure gradient of each of the extracted coronary arteries, based on tissue blood flow volumes of the coronary arteries; a second extraction unit configured to extract an ischemic region depicted in the images; and a specifying unit configured to specify a responsible blood vessel of the ischemic region by referring to a dominance map, in which each of the extracted coronary arteries and a dominance territory are associated, for the extracted ischemic region, and to specify a responsible stenosis, based on the pressure gradient corresponding to a stenosed part in the specified responsible blood vessel.

What is disclosed is a system and method for estimating a vector of skin parameters from in-vivo color measurements obtained from a video. In one embodiment, a video of exposed skin is received which comprises a plurality of time-sequential image frames acquired over time t. A vector of in-vivo color measurements is obtained on a per-frame basis from at least one imaging channel of a video imaging device used to capture the video. In a manner more fully disclosed herein, an intermediate vector of estimated skin parameters is determined based on an initial vector of estimated skin parameters and the in-vivo color measurements of all image frames averaged over time t. A final vector of estimated skin parameters is then determined for each image frame of the video based on the intermediate vector. The temporally successive final vectors are used to predict changes in time-varying skin parameters for the subject.

An image processing apparatus obtains, for each of a plurality of subjects, a data set including first shape data which indicates a shape of a subject measured in association with the subject in a first state, and second shape data which indicates a shape of the subject measured in association with the subject in a second state, obtains basis data required to express a deformation from the first state to the second state, based on the data sets for the plurality of subjects, and estimates, based on the generated basis data and data indicating a shape of a target subject measured in association with the target subject in the first state, a deformation from the first state to the second state in association with the target subject.

Systems and methods for a color board for use in reagent strip testing are disclosed. One implementation may include a color board surface, a first colored reference element printed on the color board surface, and a second colored reference element printed on the color board surface. The color board may also include a test region on the color board surface configured to receive at least one reagent pad. The color board may also include a unique code, and the code may reflect specific chromatic properties associated with each of the first colored reference element and the second color reference element at a time of printing. The unique code may be machine readable to enable a machine to later normalize a comparison color, for determining chromatic properties of the at least one reagent pad.

Systems and methods can include obtaining computerized physician intent data representing an initial patient care plan; creating a computerized workflow to include a course of multiple radiation therapy sessions; performing instructions on the oncology computer system to generate control parameters for a radiation therapy apparatus to provide the radiation treatment in accordance with the workflow during the course of sessions; obtaining computerized treatment data after initiating the course of sessions; processing the computerized treatment data, using the processor circuit, to determine an indication of delivery or effect of the radiation treatment during the course of sessions based on the initial patient care plan relative to the workflow; using the indication of delivery or effect of the radiation treatment to adapt the patient care plan; and managing the workflow for the patient using the adapted patient care plan as the patient proceeds through a course of sessions.

A system and method for reconstructing locations of sensors in radiopaque images may estimate sensor locations in two groups of good radiographic images and use them to estimate candidate sensor locations in a group of bad radiographic images B1, . . . , Bn in which many sensors are indiscernible. A first iterative process pervading from the first image B1 to the last image Bn may determine a first set of candidate sensor locations, and a second iterative process pervading from the last image Bn to the first image B1 may determine a second set of candidate sensor location for each image. Location of a sensor in each image Bi may be estimated based on the pertinent first and second candidate sensor locations related, or determined for, the particular sensor in the particular image. Sensor locations still missing in the series of images are, then, estimated using the already estimated sensor locations.