automatic algorithm mri scanners von faulkner mathias (8 Ergebnisse)

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Taschenbuch. Zustand: Neu. An Automatic Algorithm for QA of MRI Scanners using a DWI Phantom | Mathias Faulkner (u. a.) | Taschenbuch | 132 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9786139931378 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Functional diffusion maps (fDM) evaluate the treatment response with an apparent diffusion coefficient (ADC) over time. Diffusion weighted (DW) images may contain artifacts due to the low signal to noise ratio. Low-quality DW images may impair diagnosis and therefore quality assurance (QA) of the MR scanners has to be conducted. An automatic algorithm for QA of MR scanners was developed, that based on DWI images of a DWI phantom, quantified the accuracy and precision of the ADC measurements of an ADC insert, and the achieved sharpness of a Siemens star insert. The sharpness quantified by the algorithm had a connection to the visual analog scale (VAS) score evaluated by a radiologist. A region of interest (ROI) was determined within the ADC ramp to quantify the mean ADC, which had minor differences from the quantified ADC by a radiologist. The day-to-day variance between different ADC measurements was investigated, and temperature correction of the ADC was performed, to achieve more consistency. The necessity of QA was furthermore proven, when an error in the post-processed ADC map of a 3 tesla MR scanner was detected. 132 pp. Englisch.

Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Faulkner MathiasThe Authors, Mathias Faulkner & Andreas Ormstrup, are both MSc in Biomedical Engineering and Informatics from Aalborg University, Denmark. Their passion for development of new technological solutions for future diagno.

Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Functional diffusion maps (fDM) evaluate the treatment response with an apparent diffusion coefficient (ADC) over time. Diffusion weighted (DW) images may contain artifacts due to the low signal to noise ratio. Low-quality DW images may impair diagnosis and therefore quality assurance (QA) of the MR scanners has to be conducted. An automatic algorithm for QA of MR scanners was developed, that based on DWI images of a DWI phantom, quantified the accuracy and precision of the ADC measurements of an ADC insert, and the achieved sharpness of a Siemens star insert. The sharpness quantified by the algorithm had a connection to the visual analog scale (VAS) score evaluated by a radiologist. A region of interest (ROI) was determined within the ADC ramp to quantify the mean ADC, which had minor differences from the quantified ADC by a radiologist. The day-to-day variance between different ADC measurements was investigated, and temperature correction of the ADC was performed, to achieve more consistency. The necessity of QA was furthermore proven, when an error in the post-processed ADC map of a 3 tesla MR scanner was detected.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 132 pp. Englisch.

Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Functional diffusion maps (fDM) evaluate the treatment response with an apparent diffusion coefficient (ADC) over time. Diffusion weighted (DW) images may contain artifacts due to the low signal to noise ratio. Low-quality DW images may impair diagnosis and therefore quality assurance (QA) of the MR scanners has to be conducted. An automatic algorithm for QA of MR scanners was developed, that based on DWI images of a DWI phantom, quantified the accuracy and precision of the ADC measurements of an ADC insert, and the achieved sharpness of a Siemens star insert. The sharpness quantified by the algorithm had a connection to the visual analog scale (VAS) score evaluated by a radiologist. A region of interest (ROI) was determined within the ADC ramp to quantify the mean ADC, which had minor differences from the quantified ADC by a radiologist. The day-to-day variance between different ADC measurements was investigated, and temperature correction of the ADC was performed, to achieve more consistency. The necessity of QA was furthermore proven, when an error in the post-processed ADC map of a 3 tesla MR scanner was detected.

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