University of Tsukuba

Hamamatsu-photonics K.k.

The Johns Hopkins University

Mitsubishi Gas Chemical Company, Inc.

Hiroyuki Kudo

Yutaka Yamashita

Yukio Ueda

Kenji Yoshimoto

Naoya Saito

Toshiaki Yamada

Hajime Ban

Katsuyuki Taguchi

Songzhe Lian

Kazuki Mori

A trained model generation program causes a computer to implement a learning execution function of inputting first input image data representing a first input image generated by a first reconstruction method using compressed sensing and second input image data representing a second input image generated by a second reconstruction method different from the first reconstruction method to a machine learning device to execute machine learning, the second reconstruction method being an analytical reconstruction method, and causing the machine learning device to generate a trained model, and a trained model acquisition function of acquiring trained model data indicating the trained model. Then, input image data representing an input image is input to the trained model to generate a reconstructed image with improved image quality.

Trained model generation program, image generation program, trained model generation device, image generation device, trained model generation method, and image generation method

An image generation method of an interior CT includes the following steps: a step for obtaining interior CT projection data by measuring quantum beams passing through a region of interest (ROI) in an inside of photographing object in a geometrical system for CT measurement; a step for obtaining partial entire projection data by measuring quantum beams passing through an entire of said photographing object from a segment in an outside of said photographing object in said geometrical system for CT measurement; and a processing step for exactly reconstructing said ROI upon basis of said interior CT projection data obtained and said partial entire projection data.

Interior CT image generation method

A phase imaging method and apparatus are provided, the phase imaging method including causing a quantum beam from a radiation source to be incident on a detector through a test object and at least one phase grating and obtaining a phase image of the test object, based on intensity distribution of a beam in a pixel constituting the detector. The intensity distribution of the beam at least includes information of absorption (a), visibility (V), and phase (&#x3c6;). At least three adjacent pixels are assumed to have a substantially identical value for each of the absorption (a), the visibility (V), and the phase (&#x3c6;) through variable approximation of an image. The absorption, the visibility, and the phase are obtained, based on at least one measurement image.

Phase imaging method and phase imaging apparatus using phase imaging method

Featured are methods for reconstruction of images acquired from any of a number of scanning devices or apparatuses known to those skilled in the art which methods are established so as to provide a mechanism for compensating for motion of an object being imaged. Such methods of the present invention are such as to allow the clinician to select one or more specific methodologies that is appropriate for the expected motion, severity or complexity of the motion and efficient processing of projection data. Also feature are systems, apparatuses, software code and computer readable media which embody such methodologies.

Methods for motion compensated image reconstruction and system related thereto

In measurement data selection, when a vector composed of measurement data obtained for respective combinations of light emitting positions, light detection positions, and resolving times in a time-resolved waveform is given as y, a vector in which pixel values of learning image data are components is given as x, and a system matrix for calculating internal image data from the measurement data is given as A, the vector y which meets the conditional expressions (2) and (3)min&#x2225;&#x2003;&#x2003;(2),&#x2225;&#x2266;&#x3b5;&#x2003;&#x2003;(3)or the conditional expression (4)min(&#x2225;)&#x2003;&#x2003;(4)is determined, and upon measurement of a subject, only the measurement data corresponding to nonzero components of the vector y is used to prepare the internal image data.

Measurement data selection method for biometric device, light exit position determination method for biometric device, and biometric device

The bioinstrumentation apparatus includes a light irradiation unit irradiating a measurement region with light, a light detection unit detecting diffused light from the measurement region, and a computing unit generating a reconstructed image for the interior of the measurement region. The computing unit calculates J coefficients wset for every pixel of the reconstructed image and more than 0 and not more than 1 (where J is the number of pixels of the reconstructed image) and carries out successive approximation computation by the following iterative formula(where k is an integer from 1 to N, N is the number of times of iterative computation, xis a pixel value of the jth pixel on the kth iterative computation, and dis an update amount of the jth pixel on the kth iterative computation) to generate the reconstructed image.

Biometric apparatus and image-generating method

An object of the present invention is to improve the compatibility of the resin composition comprising the PAI resin and the PAS resin so as to provide a resin composition which is excellent in flowability when molten, strength, tenacity and heat resistance. A resin composition comprising:

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Tsukuba, Japan

Hiroyuki Kudo