DocumentCode :
1856571
Title :
Intra subject 3D/3D Kidney Registration using Local Mutual Information Maximization
Author :
Hui Tang ; Dillenseger, J.-L. ; Li Min Luo
Author_Institution :
Southeast Univ., Nanjing
fYear :
2007
fDate :
22-26 Aug. 2007
Firstpage :
6379
Lastpage :
6382
Abstract :
One of the goal of the Nephron-Sparing surgery properative planning is to delineate as exactly as possible the renal carcinoma and to specify its relations to the renal arterial, venous and collecting system anatomies. The classical preoperative imaging system is the spiral CT urography, which gives sucessive 3D acquisitions of complementary information The integration of this information within the a patient specific anatomical referential can be achieved by intra-patient registration techniques. A local MI maximization registration method is proposed in this paper. The kidneys are extracted from the abdomen volumes and then the registration between the extracted kidneys is implemented by maximizing the MI between them. The experimental results demonstrates that this method is effective.
Keywords :
cancer; image registration; kidney; MI maximization registration; Nephron-Sparing surgery preoperative planning; intra subject 3D/3D kidney registration; local mutual information maximization; preoperative imaging system; renal carcinoma; spiral CT urography; Abdomen; Anatomy; Biomedical imaging; Cancer; Computed tomography; Data mining; Mutual information; Neoplasms; Shape; Surges; Humans; Kidney; Kidney Neoplasms; Preoperative Care; Radiographic Image Interpretation, Computer-Assisted; Tomography, X-Ray Computed;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE
Conference_Location :
Lyon
ISSN :
1557-170X
Print_ISBN :
978-1-4244-0787-3
Type :
conf
DOI :
10.1109/IEMBS.2007.4353815
Filename :
4353815
Link To Document :
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