title: Contrast enhancement and tissues classification of breast MRI using Kalman filter-based linear mixing method.
abstract: Much attention is currently focused on one of the newest breast examination techniques, breast MRI. Contrast-enhanced breast MRIs acquired by contrast injection have been shown to be very sensitive in the detection of breast cancer, but are also time-consuming and cause waste of medical resources. This paper therefore proposes the use of spectral signature detection technology, the Kalman filter-based linear mixing method (KFLM), which can successfully present the results as high-contrast images and classify breast MRIs into major tissues from four bands of breast MRIs. A series of experiments using phantom and real MRIs was conducted and the results compared with those of the commonly used c-means (CM) method and dynamic contrast-enhanced (DCE) breast MRIs for performance evaluation. After comparison with the CM algorithm and DCE breast MRIs, the experimental results showed that the high-contrast images generated by the spectral signature detection technology, the KFLM, were of superior quality.
authors.affiliation: Department of Computer Science and Information Engineering, National Chin Yi University of Technology, Taichung 411, Taiwan, ROC.
authors.forename: Sheng-Chih
authors.initials: SC
authors.lastname: Yang
authors.forename: Chuin-Mu
authors.initials: CM
authors.lastname: Wang
authors.forename: Hsian-He
authors.initials: HH
authors.lastname: Hsu
authors.forename: Pau-Choo
authors.initials: PC
authors.lastname: Chung
authors.forename: Giu-Cheng
authors.initials: GC
authors.lastname: Hsu
authors.forename: Chun-Jung
authors.initials: CJ
authors.lastname: Juan
authors.forename: Chien-Shun
authors.initials: CS
authors.lastname: Lo
mesh_terms: D000465:Algorithms; D001943:Breast Neoplasms / Q000145:classification / Q000175:diagnosis*; D003287:Contrast Media; D005260:Female; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods; D016014:Linear Models; D008279:Magnetic Resonance Imaging / Q000379:methods; D019047:Phantoms, Imaging; D012680:Sensitivity and Specificity
chemical_list: D003287:Contrast Media