Title :
Optimal localization and image fusion for DSA/CT/MRI using Leksell frame
Author :
Shin, DongHoon ; Suh, TaeSuk ; Lee, HyoungKoo ; Choe, BoYoung ; Shinn, SubKyung
Author_Institution :
Dept. of Biomed. Eng., Catholic Univ., Seoul, South Korea
Abstract :
Optimal localization is needed to remove the hazards generated in patient treatment through distortion correction, automatic detection method for fiduciary markers and target tumor. Automatic detection algorithms for DSA and CT were developed. Base on these algorithms, an error correction algorithm was proven to be adequate for stereotactic radiosurgery despite its having some errors. In the case of image fusion, with overall algorithms, DSA/CT/MRI could be integrated to provide better resolution as well as pathological information
Keywords :
biomedical MRI; computerised tomography; diagnostic radiography; medical image processing; radiation therapy; sensor fusion; tumours; CT; DSA; Leksell frame; MRI; automatic detection algorithms; distortion correction; error correction algorithm; grid phantom; image fusion; optimal localization; stereotactic radiosurgery; unwarping; Computed tomography; Detection algorithms; Error correction; Fusion power generation; Hazards; Image fusion; Image resolution; Magnetic resonance imaging; Medical treatment; Neoplasms;
Conference_Titel :
Engineering in Medicine and Biology Society, 2000. Proceedings of the 22nd Annual International Conference of the IEEE
Conference_Location :
Chicago, IL
Print_ISBN :
0-7803-6465-1
DOI :
10.1109/IEMBS.2000.898014
