Your browser doesn't support javascript.
loading
Using Correlative Properties of Neighboring Pixels to Improve Gray-White Differentiation in Pediatric Head CT Images.
Madaelil, T P; Sharma, A; Hildebolt, C; Parsons, M.
Afiliación
  • Madaelil TP; From the Department of Interventional Neuroradiology (T.P.M.), Emory University Hospital, Atlanta, Georgia Thomas.madaelil@emory.edu.
  • Sharma A; Mallinckrodt Institute of Radiology (A.S., C.H., M.P.), Washington University School of Medicine, Washington University, St. Louis, Missouri.
  • Hildebolt C; Mallinckrodt Institute of Radiology (A.S., C.H., M.P.), Washington University School of Medicine, Washington University, St. Louis, Missouri.
  • Parsons M; Mallinckrodt Institute of Radiology (A.S., C.H., M.P.), Washington University School of Medicine, Washington University, St. Louis, Missouri.
AJNR Am J Neuroradiol ; 39(3): 577-582, 2018 Mar.
Article en En | MEDLINE | ID: mdl-29326136
BACKGROUND AND PURPOSE: A lower radiation dose can have a detrimental effect on the quality of head CT images. The aim of this study performed in a pediatric population was to test whether an image-processing algorithm (Correlative Image Enhancement) based on the correlation among intensities of neighboring pixels can improve gray-white differentiation in head CTs. MATERIALS AND METHODS: Sixty baseline head CT images with normal findings obtained from scans of 30 children were processed using Correlative Image Enhancement to produce corresponding enhanced images. Gray-white differentiation in baseline and enhanced images was assessed quantitatively by calculating the contrast-to-noise ratio and conspicuity in equivalent ROIs in gray and white matter. Two masked readers rated the images for visibility of gray-white differentiation on a 5-point Likert scale. Differences in both quantitative and qualitative measures of gray-white differentiation between baseline and enhanced images were tested for statistical significance. P values < .05 were considered significant. RESULTS: Image processing resulted in improvement in the contrast-to-noise ratio (from 1.86 ± 0.94 to 2.26 ± 1.00, P = .02) as well as conspicuity (from 37.28 ± 11.56 to 46.4 ± 11.5, P < .001). This was accompanied by improved subjective visibility of gray-white differentiation as reported by both readers (P < .01). CONCLUSIONS: Image processing using Correlative Image Enhancement had a beneficial effect on quantitative measures of gray-white differentiation. This translated into improved perception of gray-white differentiation by readers. Further studies are needed to assess the effect of such image processing on the detection of disease processes using head CTs.
Asunto(s)
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Algoritmos / Procesamiento de Imagen Asistido por Computador / Encéfalo / Tomografía Computarizada por Rayos X / Neuroimagen Tipo de estudio: Qualitative_research Límite: Child / Female / Humans / Male Idioma: En Revista: AJNR Am J Neuroradiol Año: 2018 Tipo del documento: Article País de afiliación: Georgia Pais de publicación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Algoritmos / Procesamiento de Imagen Asistido por Computador / Encéfalo / Tomografía Computarizada por Rayos X / Neuroimagen Tipo de estudio: Qualitative_research Límite: Child / Female / Humans / Male Idioma: En Revista: AJNR Am J Neuroradiol Año: 2018 Tipo del documento: Article País de afiliación: Georgia Pais de publicación: Estados Unidos