Kabushiki Kaisha Toshiba

Toshiba Medical Systems Corporation

Toshiba Medical Visualization Systems Europe, Limited

Andrew Michael Christian Smout

Sean Daniel Murphy

Pavlos Papageorgiou

Daniel Neil William Phillips

Benjamin Alan Kerr Murray

A computer implemented method of generating a succession of two-dimensional image frames for a slab cine multi-planar reformatting (MPR) process by advancing a slab through a volume defined by a volume data set, including receiving a volume data set defining a volume; specifying a view axis with respect to the volume; advancing a slab through the volume along the view axis in incremental step sizes smaller than the slab thickness; and determining at each slab position an MPR view by: selecting a plurality of sample points along each of a plurality of rays cast through the slab, and performing a projection of the sample points on to an image plane using an a projection function, wherein at least some of the sample points used for the overlap region are re-used from the previous slab position.

Image processing method and apparatus performing slab multi-planar reformatting rendering of volume data

Certain embodiments of the invention provide a computer apparatus and corresponding computer implement method for slab rendering from a three dimensional (3D) image data set of voxel data. Slab rendering is carried out on a stack of slabs of the same thicknesses in the 3D image data set. The whole stack of slabs is rendered together according to a desired filtering operation by applying a one dimensional van-Herk-Gil-Werman (vHGW) algorithm having a segment size one less than the slab thickness to strings of data that run through the whole stack.

Preparation and display of derived series of medical images

A method and apparatus for generating a two-dimensional output image of a slab multi-planar reformatting (MPR) volume data set from a selectable view point and view direction is described. The method comprises factorizing a view transform matrix into an intermediate transform matrix and a warp transform matrix. The intermediate transform matrix is such that voxels in the volume data set map to pixels in an intermediate image in which neighboring voxels in a plane of the volume data set which is most parallel to tie plane of the output image are separated by an integer number of pixel along each of tie axes of the intermediate image. The intermediate transform matrix is applied to the data set to provide an intermediate data set. A projection of the intermediate data set along the view direction is performed according to a desired projection algorithm to provide the intermediate image. The wrap transform matrix is then applied to the intermediate image to provide the output image.

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Edinburgh, United Kingdom

Andrew Michael Christian Smout