. . "20959" . . . "WSCG 2014 - Full papers proceedings" . "Evaluation and measuring of image quality in X-ray computed tomographic (CT) data gained importance with recent appearance of modern algorithms for iterative reconstruction of CT data. Thanks to the ability of dramatically reducing applied radiation dose declaratively without loss of image quality, they are expected to replace the conventionally used filtered back projection (FBP) algorithm. Quality of iteratively reconstructed data in terms of image noise is routinely evaluated in images of homogeneous phantoms or in small regions of interest in real patient data. Character of the noise, whose characteristics are dependent on imaged scene, require measuring in the whole volume of real patient data and moreover in diverse tissues separately. This paper presents generalization of one dimensional noise power spectra estimation which enables its calculation from separate tissues. Firstly, basic tissues must be segmented and the resulting segmentation masks are used for the noise power spectra estimation."@en . "Jan, Ji\u0159\u00ED" . . . "Improved Estimation of Tissue Noise Power Spectra in CT Data" . . "2"^^ . "Skot\u00E1kov\u00E1, Jarmila" . "Improved Estimation of Tissue Noise Power Spectra in CT Data"@en . "Walek, Petr" . "10"^^ . . "5"^^ . "S" . "Evaluation and measuring of image quality in X-ray computed tomographic (CT) data gained importance with recent appearance of modern algorithms for iterative reconstruction of CT data. Thanks to the ability of dramatically reducing applied radiation dose declaratively without loss of image quality, they are expected to replace the conventionally used filtered back projection (FBP) algorithm. Quality of iteratively reconstructed data in terms of image noise is routinely evaluated in images of homogeneous phantoms or in small regions of interest in real patient data. Character of the noise, whose characteristics are dependent on imaged scene, require measuring in the whole volume of real patient data and moreover in diverse tissues separately. This paper presents generalization of one dimensional noise power spectra estimation which enables its calculation from separate tissues. Firstly, basic tissues must be segmented and the resulting segmentation masks are used for the noise power spectra estimation." . "26220" . . . "978-80-86943-70-1" . "2014-06-02+02:00"^^ . . "[A03884FD0249]" . "Improved Estimation of Tissue Noise Power Spectra in CT Data" . "J\u00EDra, Igor" . "RIV/00216305:26220/14:PU110234!RIV15-MSM-26220___" . . "Neuveden" . . . . . . "X-ray computed tomography, iterative reconstruction, image quality, noise power spectra, spectral leakage, 2D windowing function."@en . "Improved Estimation of Tissue Noise Power Spectra in CT Data"@en . "Ou\u0159edn\u00ED\u010Dek, Petr" . . . "Plze\u0148" . "RIV/00216305:26220/14:PU110234" . "Plze\u0148" .