Enhanced gray-white matter differentiation on non-enhanced CT using a frequency selective non-linear blending.
Introduction: The aim if this study is to find out if contrast between gray (GM) and white matter (WM) on non-enhanced brain CT (NECT) can be enhanced by using a frequency selective non-linear blending. Methods: Thirty consecutive patients (40 % female; mean age 67.73 ± 12.71 years), who underwent N...
| Published in: | Neuroradiology Vol. 58; no. 7; pp. 649 - 656 |
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| Main Authors: | , , , , , |
| Format: | diagnostic images equations & formulas research tables/charts Journal Article |
| Published: |
Springer Nature
Jul2016
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=117358117&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 117358117 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00283940 NYZ jtl: Neuroradiology issn: 00283940 maglogo: N pubinfo: dt: Jul2016 vid: 58 iid: 7 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 117358117 117358117 117358117 10.1007/s00234-016-1674-1 117358117 ppf: 649 ppct: 7 formats: fmt: @attributes: type: P tig: atl: Enhanced gray-white matter differentiation on non-enhanced CT using a frequency selective non-linear blending. aug: au: Bier, Georg Bongers, Malte Ditt, Hendrik Bender, Benjamin Ernemann, Ulrike Horger, Marius affil: Department of Diagnostic and Interventional Radiology , Eberhard Karls-University Tuebingen , Hoppe-Seyler-Str. 3 72076 Tuebingen Germany sug: subj: Brain Radiography Tomography, X-Ray Computed Methods Radiographic Image Enhancement Methods Gray Matter Radiography Human Contrast Media Neuroradiography Female Male Middle Age Aged Aged, 80 and Over Retrospective Design Algorithms Image Interpretation, Computer Assisted Descriptive Statistics P-Value Multidetector Computed Tomography Image Processing, Computer Assisted Middle Aged: 45-64 years Aged: 65+ years Aged, 80 & over Female Male ab: Introduction: The aim if this study is to find out if contrast between gray (GM) and white matter (WM) on non-enhanced brain CT (NECT) can be enhanced by using a frequency selective non-linear blending. Methods: Thirty consecutive patients (40 % female; mean age 67.73 ± 12.71 years), who underwent NECT of the brain, were retrospectively included in this study. Brain scan readings were performed by two radiologists independently, for NECT and subsequently the images were read using a new frequency selective non-linear blending algorithm (best contrast, BC). Optimal settings of BC for enhanced delineation of anatomical structures were set at an averaged center of 30 HU, averaged delta of 5 HU, and a slope of 5. For contrast-to-noise ratio calculation (CNR), gray and white matter attenuation values were measured for both NECT and BC in different anatomical structures. Results: CNR increase in the gray matter was 5.91 ± 2.45 for the cortical gray matter and 4.41 ± 1.82 for the basal ganglia. The contrast ratio between cortical gray and white matter was 1.87 and 1.7 (basal ganglia/WM) for BC quantification vs. 1.43 (cortex/WM) and 1.33 (basal ganglia/WM) for standard NECT (both p < 0.0001). Improved CNR did not depend on the anatomical structures measured. Conclusion: Frequency selective non-linear blending allows better discrimination between WM and GM and therefore may enhance diagnostic accuracy of NECT. pubtype: Academic Journal doctype: diagnostic images equations & formulas research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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