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Publications (2)0.32 Total impact

  • Ken’ichi OHTA · Yutaka HATA · Chikako OHTA · Akira KASUYA ·

    FIBER 01/2000; 56(11):518-523. DOI:10.2115/fiber.56.518 · 0.32 Impact Factor
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    Takuro Zui · Kouki Nagamune · Ken ' Ichi Ohta · Yutaka Hata ·
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    ABSTRACT: This paper describes a method for identifying activated region in functional Magnetic Resonance Imaging (fMRI) study. We attempt to identify activated region using fuzzy calculus with three features: (1) Signal change in activated region synchronizes with a paradigm. Therefore we split the time course signal into paradigm term, and analyze correlation of their signal intensities. (2) In activated region signal intensity during active period rises compared with that of rest period. Therefore we examine difference between total intensity in the active period and that in the rest period. (3) An activated region has temporal extent. Therefore, we analyze correlation of signal intensity between interested voxel and its neighbor voxel. Our method determines the activated region that has all these features according to the fuzzy calculus. We applied our method to three fMRI data. Experimental results show that our method can successfully identify activated region.