Nonrigid 3D medical image registration and fusion based on deformable models.

摘要: For coregistration of medical images, rigid methods often fail to provide enough freedom, while reliable elastic are available clinically for special applications only. The number of degrees freedom models must be reduced use in the clinical setting to archive a result. We propose novel geometry-based method nonrigid 3D medical image registration and fusion. proposed uses 3D surface-based deformable model as guidance. In our twofold approach, the mesh from one of images is first applied boundary object be registered. Thereafter, non-rigid volume deformation vector field needed fusion inside region of interest (ROI) described by active surface inferred from the displacement points. was validated using quasirigid organ (kidney) an organ (liver). The reduction in standard deviation intensity difference between reference used as measure of performance. Landmarks placed at vessel bifurcations liver were gold evaluating results for liver. Our compared with affine mutual information the quasi-rigid kidney. new achieved 15.11% better quality with a high confidence level 99% registration. However, when quasi-elastic liver, has an averaged landmark dislocation 4.32 mm. contrast, affine registration extracted livers yields significantly ( id="x30" d="M241 635q53 94 -28.5t63.5 -76t33.5 -102.5t11 -116q0 -58 -11 -112.5t-34 -103.5t-63.5 -78.5t-94.5 -29.5t-95 28t-64.5 75t-34.5 102.5t-11 118.5q0 58 11.5 112.5t34.5 103t64.5 78t95.5 29.5zM238 602q-32 -55.5 -25t-35.5 -68t-17.5 -91t-5.5 -105 q0 -76 10 -138.5t37 -107.5t69 -45q32 55.5 25t35.5 68.5t17.5 91.5t5.5 105t-5.5 105.5t-18 92t-36 68t-56.5 24.5z" ) smaller 3.26 mm. conclusion, our validation shows that approach applicable cases where internal not crucial, but it has limitations in cases where also taken into account.