Agency for Science, Technology and Research

Singapore Health Services Pte Ltd

National University of Singapore

National University Hospital (s) Pte Ltd.

Yi Su

Ru San Tan

Liang Zhong

Jiang Liu

Beng Hai Lee

Ngan Meng Tan

Fengshou Yin

Weimin Huang

Jing Zhang

Chee Kong Chui

Jiayin Zhou

Wing Kee Damon Wong

Zhuo Zhang

Wing Kee Wong

Xulei Yang

Stephen Chang

Chi Wan Calvin Lim

Tao Yang

Xiaodan Zhao

Liangjing Yang

Kin Yong Chang

Soo Kng Teo

Si Yong Yeo

There is provided a method for geometrical reconstruction of an internal anatomical structure using at least one processor based on a set of contours derived from the internal anatomical structure, the set of contours including a first subset of long-axis contours obtained based on a first set of long-axis images of the internal anatomical structure. The method includes: adjusting the set of contours, comprising adjusting the first subset of long-axis contours to correct for motion artefacts in the first set of long-axis images; and deforming a template three-dimensional (3D) surface mesh preconfigured for the internal anatomical structure's type into a deformed 3D surface mesh based on the adjusted set of contours to obtain the geometrical reconstruction of the internal anatomical structure. In particular, the internal anatomical structure is a heart. There is also provided a corresponding system for geometrical reconstruction of an internal anatomical structure.

Method and system for geometrical reconstruction of an internal anatomical structure

A method is proposed for identifying an anatomical structure within a spatial-temporal image (i.e. a series of frames captured as respective times). A current frame of spatial-temporal medical image is processed using information from one or more previous and/or subsequent temporal frames, to aid in the segmentation of an object or a region of interest (ROI) in a current frame. The invention is applicable to both two- and three-dimensional spatial-temporal images (i.e., 2D+time or 3D+time), and in particular to cardiac magnetic resonance (CMR images). An initialization process for this method segments the left ventricle (LV) in a CMR image by a fuzzy c-means (FCM) clustering algorithm which employs a circular shape function as part of the definition of the dissimilarity measure.

Segmentation of cardiac magnetic resonance (CMR) images using a memory persistence approach

A surgical training system and method. The system comprises means for recording reference data representing a reference manipulation of a computer generated model of an object by a master user; means for physically guiding a trainee user based on the recorded reference data during a training manipulation of the model of the object by the trainee user; and means for recording assessment data representing an assessment manipulation of the model of the object by the trainee user without guidance.

Robot assisted surgical training

A method and system are proposed to obtain quantitative data about the shape of a biological structure, and especially a heart ventricle. A set of three-dimensional input meshes are generated from MRI data. They represent the shape of a ventricle at successive times. The input meshes are used to generate a set of three-dimensional morphed meshes which have the same number of vertices as each other, and have respective shapes which are the shapes of corresponding ones of the input meshes. Then, for each of the times, shape analysis is performed to obtain a curvedness value at each of a plurality of corresponding locations in the morphed meshes. The curvedness value may be used to obtain a curvedness rate at each of the locations, indicative of the rate of change of curvedness with time at each of the locations.

Quantifying curvature of biological structures from imaging data

A robotic device for use in image-guided robot assisted surgical training, the robotic device comprising a manual interface structure configured to simulate handling of a surgical tool; a translational mechanism for translational motion of the manual interface structure; a rotational mechanism for rotational motion of the manual interface structure; and a spherical mechanism configured to decouple the orientation of the manual interface structure into spatial coordinates, wherein a linkage between the rotational mechanism, the rotational mechanism and the spherical mechanism, and the manual interface structure are disposed on opposing sides of an intersection of a pitch axis and a yaw axis of the spherical mechanism.

Robotic device for use in image-guided robot assisted surgical training

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Singapore, Singapore

Yi Su