Toshiba Medical Systems Corporation

Kabushiki Kaisha Toshiba

Canon Medical Systems Corporation

Chinese Academy of Sciences

Tsinghua University

Powerscan Company Limited

China Road & Bridge Corporation

Yanhua Wang

Yanli Wang

Shaobin Wang

Minfeng Xu

Qilin Xiao

Chao Cong

Fuyue Wang

Ming Liu

Qi Chen

Bing Han

Hong Yang

Shibing Long

Jianchun Zhao

Qiuying Dong

Yang Zhang

Zheng Liu

Qi Liu

Hong Liu

Bing Li

Hangbing Lv

Li Hui Guo

Zongliang Huo

Nobutoku Motomura

Marco Razeto

Costas Plakas

Jiebin Niu

Shaofeng Wang

Yanfeng Cao

Jialin Zhang

Zhihai Xiang

Qiuhai Lu

Manhong Zhang

Zhangyuan Yang

Lixin Yan

Gengwan Li

Xiaotian Yang

Longfei Zhao

Jianchu Zhang

Zhexin Zhou

Zhihuai Li

Yaoguo Sun

Lianyou Li

Zhaopu Shen

Yao Cong

An image processing apparatus according to an embodiment of the present disclosure includes processing circuitry. The processing circuitry is configured to obtain volume data of a subject. The processing circuitry is configured to obtain base tubular object data by segmenting the volume data. The processing circuitry is configured to obtain small tubular object data from the volume data. The processing circuitry is configured to generate updated base tubular object data, on the basis of the small tubular object data and the base tubular object data. The processing circuitry is configured to output the updated base tubular object data.

Image processing apparatus, image processing method, and recording medium

A medical image processing apparatus of an embodiment includes processing circuitry. The processing circuitry receives a medical image of a target region. The processing circuitry generates an image pair including a local image having local features of the target region and a global image having global features of the target region on the basis of the received medical image. The processing circuitry performs segmentation and classification of the target region on the image pair by a neural network.

Medical image processing apparatus, method, and storage medium

A medical image processing apparatus according to an embodiment includes processing circuitry configured: to generate a projection image by implementing an intensity projection on a plurality of two-dimensional images structuring three-dimensional volume data rendering a tubular organ; to obtain a mapping matrix of the intensity projection; to annotate the tubular organ in the projection image; and to identify the tubular organ in the three-dimensional volume data, by inversely mapping the tubular organ annotated in the projection image onto the three-dimensional volume data while using the mapping matrix.

Medical image processing apparatus and medical image processing method

A medical image processing apparatus according to an embodiment includes an estimation circuitry and a tracking circuitry. The estimation circuitry is configured to estimate the activity of the myocardium across a plurality of images at different time phases from a group of images where a plurality of images containing a myocardium are chronologically arranged. The tracking circuitry is configured to set a search range for tracking the myocardium in the group according to the activity of the myocardium and perform the tracking.

Medical image processing apparatus, medical image processing method and medical image device

A medical image processing apparatus according to an embodiment includes acquisition circuitry, extraction circuitry, calculation circuitry, and determination circuitry. The acquisition circuitry configured to acquire a first photographic image and a second photographic image that contain tree structures of a subject. The extraction circuitry configured to extract branch points of each of the tree structures in the first photographic image and the second photographic image. The calculation circuitry configured to calculate the similarities between the branch points in the first photographic image and the branch points in the second photographic image based on the feature quantities of the branch points. The determination circuitry configured to determine the corresponding path between the branch points in the first photographic image and the branch points in the second photographic image based on the similarities between the branch points calculated by the calculation circuitry.

A tap-scan bridge damage detection system comprises: a mobile cart () capable of moving on a to-be-detected bridge; a tap subsystem () mounted on the mobile cart () and used for applying a tap load to the to-be-detected bridge; a signal acquisition subsystem () mounted on the mobile cart and used for acquiring a response signal transferred from the to-be-detected bridge to the mobile cart; and a signal processing apparatus () connected to the signal acquisition subsystem () and used for receiving and processing a signal acquired by the signal acquisition subsystem (), and outputting the bridge damage information processed result. The tap-scan bridge damage detection system can detect bridge damage in a simple, convenient, efficient and accurate manner.

Tap-scan bridge damage detection system

A medical image processing apparatus includes a setting unit, a tracking unit, and a calculation unit. The setting unit is configured to set a first region of interest in at least one of a plurality of medical images. The tracking unit is configured to carry out first tracking processing of tracking the motion of the first region of interest between the medical images and second tracking processing of tracking the motion of a second region of interest, different from the first region of interest, between the medical images. The calculation unit is configured to calculate the motion of the second region of interest with respect to the first region of interest by using the result of the first tracking processing and the result of the second tracking processing.

Medical image processing apparatus, medical image diagnostic apparatus, medical image processing method, and ultrasonic image processing method

A flying spot forming apparatus includes a radiation source and a shielding body. A side wall of the shielding body is provided with at least two pairs of helical grooves. Each helical groove is provided with a predetermined slope. A first incident groove is adjacent to a second incident groove. A head end of the first incident groove is higher than a head end of the second incident groove. A tail end of the first incident groove is higher than a tail end of the second incident groove. The tail end of the first incident groove is not higher than the head end of the second incident groove. A first axial cross section of the shielding body intersects with the tail end of the first incident groove. A second axial cross section intersects with the head end of the second incident groove.

Flying spot forming apparatus and design method

A medical image processing apparatus according to one embodiment includes obtaining circuitry, calculating circuitry, and transforming circuitry. The obtaining circuitry takes an expiration time phase or an inspiration time phase as a benchmark time phase and obtains a benchmark line structure, which is a line structure of a bronchus in a lung field, from a medical image at the benchmark time phase. The calculating circuitry calculates a motion amount between a component depicted in the medical image at the benchmark time phase and a component depicted in a medical image at at least one other time phase than the benchmark time phase. The transforming circuitry transforms the benchmark line structure based on the motion amount to obtain an estimated line structure, which is estimated as a line structure at the at least one other time phase.

The present invention relates to a medical image processing apparatus, an image processing method and a medical image device. The medical image processing apparatus comprises a deformation field calculation unit, a deformation field weighting unit and an image deformation unit. The deformation field calculation unit may calculate a field of deformation of a first image of an object with respect to a second image. The deformation field weighting unit may weight the field according to motion intensities of respective components of the object. The image deformation unit may deform the first image by using the weighted field.

Medical image processing apparatus, medical image device and image processing method

According to one embodiment, a moving object contour extraction apparatus includes a contour acquisition unit and a contour correction unit. The contour acquisition unit is configured to acquire a contour of a moving object in each image slice. The contour correction unit is configured to correct the contours of the moving object in image slices of at least one image slice time series based on motion trend information of the moving object in each of a plurality of image slice time series.

Moving object contour extraction apparatus, left ventricle image segmentation apparatus, moving object contour extraction method and left ventricle image segmentation method

A moving object contour tracking apparatus includes a contour tracking section for performing, by taking an initial contour of the moving object in a predetermined image slice as a starting contour, contour tracking in a first time direction to acquire a first contour of the moving object and contour tracking in a second time direction to acquire a second contour of the moving object in each image slice; a contour comparison section for calculating, in the predetermined image slice, a similarity between the first contour and the initial contour and a similarity between the second contour and the initial contour; and a contour correction section for taking the contours in the image slices that are acquired in a contour tracking direction corresponding to the greater one of the two similarities as the contours of the moving object in the respective image slices.

Apparatus and method for tracking contour of moving object, and apparatus and method for analyzing myocardial motion

The present disclosure relates to the microelectronics field, and particularly, to a metal oxide resistive switching memory and a method for manufacturing the same. The method may comprise: forming a W-plug lower electrode above a MOS device; sequentially forming a cap layer, a first dielectric layer, and an etching block layer on the W-plug lower electrode; etching the etching block layer, the first dielectric layer, and the cap layer to form a groove for a first level of metal wiring; sequentially forming a metal oxide layer, an upper electrode layer, and a composite layer of a diffusion block layer/a seed copper layer/a plated copper layer in the groove for the first level of metal wiring; patterning the upper electrode layer and the composite layer by CMP, to form a memory cell and the first level of metal wiring in the groove in the first dielectric layer; and performing subsequent processes to complete the metal oxide resistive switching memory. According to the present disclosure, the manufacture process can be simplified, without incorporating additional exposure steps in the standard process, resulting in advantages such as reduced cost.

Metal oxide resistive switching memory and method for manufacturing same

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Beijing, China

Yanhua Wang