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Voxel-Based Similarity Measures for Medical Image Registration in Radiological Diagnosis and Image Guided Surgery

Thorsten M. Buzug ; Philips Research Laboratories, Division Technical Systems, Hamburg, Germany
Jurgen Weese ; Philips Research Laboratories, Division Technical Systems, Hamburg, Germany

Puni tekst: engleski, pdf (8 MB) str. 165-179 preuzimanja: 101* citiraj
APA 6th Edition
Buzug, T.M. i Weese, J. (1998). Voxel-Based Similarity Measures for Medical Image Registration in Radiological Diagnosis and Image Guided Surgery. Journal of computing and information technology, 6 (2), 165-179. Preuzeto s https://hrcak.srce.hr/150232
MLA 8th Edition
Buzug, Thorsten M. i Jurgen Weese. "Voxel-Based Similarity Measures for Medical Image Registration in Radiological Diagnosis and Image Guided Surgery." Journal of computing and information technology, vol. 6, br. 2, 1998, str. 165-179. https://hrcak.srce.hr/150232. Citirano 15.10.2019.
Chicago 17th Edition
Buzug, Thorsten M. i Jurgen Weese. "Voxel-Based Similarity Measures for Medical Image Registration in Radiological Diagnosis and Image Guided Surgery." Journal of computing and information technology 6, br. 2 (1998): 165-179. https://hrcak.srce.hr/150232
Harvard
Buzug, T.M., i Weese, J. (1998). 'Voxel-Based Similarity Measures for Medical Image Registration in Radiological Diagnosis and Image Guided Surgery', Journal of computing and information technology, 6(2), str. 165-179. Preuzeto s: https://hrcak.srce.hr/150232 (Datum pristupa: 15.10.2019.)
Vancouver
Buzug TM, Weese J. Voxel-Based Similarity Measures for Medical Image Registration in Radiological Diagnosis and Image Guided Surgery. Journal of computing and information technology [Internet]. 1998 [pristupljeno 15.10.2019.];6(2):165-179. Dostupno na: https://hrcak.srce.hr/150232
IEEE
T.M. Buzug i J. Weese, "Voxel-Based Similarity Measures for Medical Image Registration in Radiological Diagnosis and Image Guided Surgery", Journal of computing and information technology, vol.6, br. 2, str. 165-179, 1998. [Online]. Dostupno na: https://hrcak.srce.hr/150232. [Citirano: 15.10.2019.]

Sažetak
Registration of images is a key technique for numerous medical applications from diagnosis to image guided therapy. In the present paper we focus on gray-value based registration methods. Of special interest is the so-called similarity measure which must be optimized. It is the intention of the paper to emphasize the fact that a successful registration requires a similarity measure that is carefully chosen with respect to the underlying medical application. Two single-modality examples are presented in the paper, i.e. the diagnostic tool of digital subtraction angiography and an intervention guidance under X-ray fluoroscopic control. We discuss new similarity measures, i.e. the class of one-dimensional hi stogram based measures and the pattern intensity, designed for these applications and compare them with frequently used measures like the cross-correlation function , cross-structure function and deterministic sign change criterion. It is demonstrated that the results obtained with the new measures are superior to the results obtained with the latter mentioned ones.

Ključne riječi
image registration; single modality; similarity measure; pattern intensity; energy; digital subtraction angiography; image guided surgery

Hrčak ID: 150232

URI
https://hrcak.srce.hr/150232

Posjeta: 143 *