Title :
Automatic detection of abnormal brain tissue in MR image
Author :
Luo, Shuqian ; Cai, Jie
Author_Institution :
Capital Univ. of Med. Sci., Beijing, China
Abstract :
An auto-associative memory based method can be used to detect abnormal tissue in MR images automatically. An abnormal image vector is tested by application of an autocorrelation matrix that consists of normal image vectors. After the novelty filtering, the output corresponding to the abnormality is produced. The preliminary result and analysis showed that the method is feasible and effective.
Keywords :
biological tissues; biomedical MRI; brain; content-addressable storage; correlation methods; matrix algebra; medical image processing; MR image; abnormal brain tissue automatic detection; abnormal image vector; auto-associative memory based method; autocorrelation matrix; filtering; normal image vectors; Associative memory; Autocorrelation; Biomedical imaging; Brain; Equations; Filters; Interference; Noise shaping; Testing; Vectors;
Conference_Titel :
Engineering in Medicine and Biology, 2002. 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society EMBS/BMES Conference, 2002. Proceedings of the Second Joint
Print_ISBN :
0-7803-7612-9
DOI :
10.1109/IEMBS.2002.1106272
