| 主权项 |
1. A method, comprising:
receiving an image sequence, wherein the image sequence includes a plurality of two-dimensional (2D) image frames of an organ arranged in a time sequence; constructing a three-dimensional (3D) volume by stacking a plurality of the 2D image frames in time order; detecting a best bounding box for a target of interest in the 3D volume, wherein the best bounding box is specified by a plurality of parameters including spatial and temporal information contained in the 3D volume; and determining the target of interest from the best bounding box, wherein detecting a best bounding box for a target of interest comprises: (a) setting values for a nine-parameter set, wherein the nine-parameter set defines a box-like sub-volume in the 3D volume and the nine parameter set includes three positions, x,y,z, three orientations γ,φ,ψ and three scales sx,sy,sz, wherein the orientation parameters γ,φ,ψ reduce to γ only, wherein <xan,yan> and <xin,yin> denote true positions of right ventricle (RV) insertion anterior and RV insertion inferior, respectively, time frame indices for a key-frame and a peak-frame of RV are expressed as tRV and tpRV, respectively wherein a parameter set for RV insertion is: positions {(xan+xin)/2,(yan+yin)/2,tRV}; orientations {γ: orthogonal to a line segment connecting the RV insertion anterior and the RV insertion inferior, and pointing toward a left ventricle (LV), φ=0, ψ=0}; and scales {sins,sins,(tpRV−tRV)*α}, where sins=√{square root over ((xan−xin)2+(yan−yin)2)}{square root over ((xan−xin)2+(yan−yin)2)}*β and α and β are factors used to adjust range. |
