Title :
Spherical Harmonics Based Intrasubject 3-D Kidney Modeling/Registration Technique Applied on Partial Information
Author :
Dillenseger, J.-L. ; Guillaume, H. ; Patard, J.-J.
Author_Institution :
Rennes I Univ.
Abstract :
This paper presents a three-dimensional (3-D) shape reconstruction/intrapatient rigid registration technique used to establish a Nephron-Sparing Surgery preoperative planning. The usual preoperative imaging system is the Spiral CT Urography, which provides successive 3-D acquisitions of complementary information on kidney anatomy. Because the kidney is difficult to demarcate from the liver or from the spleen only limited information on its volume or surface is available. In this paper, we propose a methodology allowing a global kidney spatial representation on a spherical harmonics basis. The spherical harmonics are exploited to recover the kidney 3-D shape and also to perform intrapatient 3-D rigid registration. An evaluation performed on synthetic data showed that this technique presented lower performance then expected for the 3-D shape recovering but exhibited registration results slightly more accurate as the iterative closest point technique with faster computation time
Keywords :
computerised tomography; image reconstruction; image registration; kidney; medical image processing; physiological models; 3-D shape recovery; Nephron-Sparing Surgery preoperative planning; global kidney spatial representation; intrapatient rigid registration; intrasubject 3-D kidney modeling; iterative closest point technique; partial information; spherical harmonics; spiral CT urography; three-dimensional shape reconstruction; Anatomy; Cancer; Computed tomography; Image reconstruction; Liver; Neoplasms; Oncological surgery; Shape; Surface reconstruction; Surges; 3-D modeling; 3-D rigid registration; Nephron-sparing surgery; spherical harmonics; Algorithms; Artificial Intelligence; Humans; Image Enhancement; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; Information Storage and Retrieval; Kidney; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity; Subtraction Technique; Tomography, Spiral Computed;
Journal_Title :
Biomedical Engineering, IEEE Transactions on
DOI :
10.1109/TBME.2006.883653