An image is reconstituted by iterative approximation, a PET event updated image is produced by updating a current image using a PET event, a Compton event updated image is produced by updating the current image using a Compton event, the PET event updated image and the Compton event updated image that have been independently produced are weighted and added together, and the current image is updated using an image obtained by addition processing. In this way, PET events and Compton events, which have different properties, can be used in combination to efficiently and stably reconstitute images, improving image quality.

Methods, systems, and computer readable media for generating a three-dimensional reconstruction of an object with reduced distortion are described. In some aspects, a system includes at least two image sensors, at least two projectors, and a processor. Each image sensor is configured to capture one or more images of an object. Each projector is configured to illuminate the object with an associated optical pattern and from a different perspective. The processor is configured to perform the acts of receiving, from each image sensor, for each projector, images of the object illuminated with the associated optical pattern and generating, from the received images, a three-dimensional reconstruction of the object. The three-dimensional reconstruction has reduced distortion due to the received images of the object being generated when each projector illuminates the object with an associated optical pattern from the different perspective.

A system for displaying and interacting with magnetic resonance imaging (MRI) data acquired using an MRI system includes an image reconstruction module configured to receive the MRI data and to reconstruct a plurality of images using the MRI data, an image rendering module coupled to the image reconstruction module and configured to generate at least one multidimensional image based on the plurality of images and a user interface device coupled to the image rendering module and located proximate to a workstation of the MRI system. The user interface device is configured to display the at least one multidimensional image in real-time and to facilitate interaction by a user with the multidimensional image in a virtual reality or augmented reality environment.

The invention describes an iterative reconstructing method allowing a spatial distribution of fluorescence in an object to be obtained. The method comprises acquiring images of fluorescence in various planes at various depths in the object, so as to form a three-dimensional acquired image. It comprises an iterative reconstructing algorithm with, in each iteration, an initial fluorescence distribution or a fluorescence distribution resulting from a preceding iteration being taken into account, and the fluorescence light wave propagating through the object being simulated, so as to obtain a reconstruction of the acquired image. The acquired image, or a differential image corresponding to a comparison between the acquired image and the reconstructed image, is then back-propagated through the object, so as to update the fluorescence distribution. FIG. 5B.

Various methods and systems are provided for stationary CT imaging. In one embodiment, a method for an imaging system includes activating a plurality of emitters of a stationary distributed x-ray source unit to emit x-ray beams toward an object within an imaging volume, where the x-ray source unit does not rotate around the imaging volume, receiving attenuated x-ray beams with one or more detector arrays to form a sparse view projection dataset, where each attenuated x-ray beam generates a different view, and reconstructing an image from the sparse view projection dataset using a sparse view reconstruction method.

A computer implemented method for assessing an arterio-venous malformation (AVM) may include, for example, receiving a patient-specific model of a portion of an anatomy of a patient; using a computer processor to analyze the patient-specific model for identifying one or more blood vessels associated with the AVM, in the patient-specific model; and estimating a risk of an undesirable outcome caused by the AVM, by performing computer simulations of blood flow through the one or more blood vessels associated with the AVM in the patient-specific model.

A method performed by a computing system comprises receiving a fluoroscopic image of a patient anatomy while a portion of a medical instrument is positioned within the patient anatomy. The fluoroscopic image has a fluoroscopic frame of reference. The portion has a sensed position in an anatomic model frame of reference. The method further comprises identifying the portion in the fluoroscopic image and identifying an extracted position of the portion in the fluoroscopic frame of reference using the identified portion in the fluoroscopic image. The method further comprises registering the fluoroscopic frame of reference to the anatomic model frame of reference based on the sensed position of the portion and the extracted position of the portion.

A direct structured illumination microscopy (dSIM) reconstruction method is provided. First, a time domain modulation signal is extracted through a wavelet. Then, an incoherent signal is converted into a coherent signal. Next, an accumulation amount at each pixel is calculated. Finally, a super-resolution image is generated by using a correlation between signals at different spatial positions. An autocorrelation algorithm of dSIM is insensitive to an error of a reconstruction parameter. dSIM bypasses a complex frequency domain operation in structured illumination microscopy (SIM) image reconstruction, and prevents an artifact caused by the parameter error in the frequency domain operation. The dSIM algorithm has high adaptability and can be used in laboratory SIM, nonlinear SIM imaging systems, or commercial systems.

A tomographic imaging system, including a data processing component having a memory and at least one processor configured to: access scattering parameter data representing electromagnetic waves scattered by features within an object and originating from a plurality of antennas disposed around the object on a boundary S; process the scattering parameter data to generate a reconstructed image representing a spatial distribution of features within the object, said processing including: solving an electromagnetic inverse problem, wherein forward and inverse steps of the inverse problem are represented and solved as respective differential equations involving an electric field to determine values for the electric field; and process the determined values of the electric field to generate reconstructed image data representing one or more spatial distributions of one or more electromagnetic properties within the object.

An image processing device determines whether each tumor candidate regions detected from a plurality of tomographic images indicating a plurality of tomographic planes of an object is a tumor or a local mass of a mammary gland, selects a first tomographic image group from the plurality of tomographic images in a first region determined to be the tumor, selects a second tomographic image group from the plurality of tomographic images in a second region determined to be the local mass of the mammary gland, selects a third tomographic image group from the plurality of tomographic images in a third region other than the first region and the second region, and generates a composite two-dimensional image using the tomographic image groups selected for each of the first region, the second region, and the third region.