Title :
Fractal dimension as a method of segmenting cardiac images
Author :
Fortin, C.S. ; Ohley, W.J. ; Gewirtz, H.
Author_Institution :
Dept. of Electr. Eng., Rhode Island Univ., Kingston, RI, USA
Abstract :
Cardiac magnetic resonance (MR) images were segmented by the use of fractal concepts. The method utilized is a robust two-dimensional extension of the previous work of T. Lundahl et al. (IEEE Trans. on Medical Imaging, vol.MI-5, no.3, 1986). The results show that this technique can provide a method to extract cardiac borders from MR images in situations where conventional approaches fail
Keywords :
biomedical NMR; cardiology; patient diagnosis; picture processing; cardiac NMR images; cardiac borders extraction; cardiac images segmentation; fractal concepts; fractal dimension; medical diagnostic imaging; 1f noise; Brownian motion; Fractals; Heart; Humans; Image edge detection; Image segmentation; Maximum likelihood estimation; Phase noise; Probability density function;
Conference_Titel :
Bioengineering Conference, 1990., Proceedings of the 1990 Sixteenth Annual Northeast
Conference_Location :
State College, PA
DOI :
10.1109/NEBC.1990.66282
