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
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