Patent ID: 8811699

Claim:
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 <x an ,y an > and <x in ,y in > 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 t RV and t pRV , respectively wherein a parameter set for RV insertion is: positions {(x an +x in )/2,(y an +y in )/2,t RV }; 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 {s ins ,s ins ,(t pRV −t RV )*α}, where s ins =√{square root over ((x an −x in ) 2 +(y an −y in ) 2 )}{square root over ((x an −x in ) 2 +(y an −y in ) 2 )}*β and α and β are factors used to adjust range.