Download e-book for iPad: Medical Imaging Systems Technology. Methods in Diagnosis by Leondes C.T. (ed.)

By Leondes C.T. (ed.)

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The image is taken from R. Strickland and H. 38 we obtain a matched filter ψm by ψˆm (ω) := ¯ˆ φ(ω) PRR (ω) = 1 − ω 2 e 2ασR 2 /2 (α2 + ω 2 ), ω ∈ R2 . R. Strickland and H. Hahn38 propose a simplification α → 0 based on results on the Nijmegen mammography database. This yields an approximation PRR (ω) = ω −2 . Thus the matched filter is given by −2 ˆ ψ(ω) = σR ω 2 e− ω 2 /2 . (11) There is an analogy with a neural network based approach found in D. 36 The template generated by training of the network looks similar to this filter.

MCs could be found within the ducts, alongside ducts, in the lobular acini, in vascular structures, in the interlobular stroma, in fat, or in skin. Depending on 48 I. El Naqa and Y. Yang their etiology and location they could be punctuate, branching, linear, spherical, fine, coarse, cylindrical, smooth, jagged, regular in size or shape, or heterogeneous. 14 Interested readers are referred to the ACR publications1 for more details. 3. Computer-aided detection of microcalcification clusters We show in Fig.

Hahn38 propose a simplification α → 0 based on results on the Nijmegen mammography database. This yields an approximation PRR (ω) = ω −2 . Thus the matched filter is given by −2 ˆ ψ(ω) = σR ω 2 e− ω 2 /2 . (11) There is an analogy with a neural network based approach found in D. 36 The template generated by training of the network looks similar to this filter. 24 P. Heinlein The filter (11) is also an admissible function. We construct the integrated wavelet filters by applying formula (2). They are given in Fourier domain by Ψj,l (ω) 2 = 1 2 a2j ω 2 − a2j+1 ω 2 + 1 e−aj 2 2 ω 2 + 1 e−aj+1 ω 2 ηl (arg(ω)), (12) ω ∈ R2 , j ∈ J, l ∈ {0, π/2}, with highpass filter Ψ0 (ω) 2 = 1 1 − a21 ω 2 2 2 + 1 e−a1 ω 2 (13) and lowpass filter 2 2 1 2 ω 2 + 1 e−a|J| ω .

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