• No results found

Quantifying Image Quality in Diagnostic Radiology using Simulation of the Imaging System and Model Observers

N/A
N/A
Protected

Academic year: 2021

Share "Quantifying Image Quality in Diagnostic Radiology using Simulation of the Imaging System and Model Observers"

Copied!
1
0
0

Loading.... (view fulltext now)

Full text

(1)

Linköping University Medical Dissertations, No. 1050

Quantifying Image Quality in Diagnostic

Radiology using Simulation of the

Imaging System and Model Observers

Gustaf Ullman 2008

Radiation Physics,

Department of Medical and Health Sciences Faculty of Health Sciences, Linköping University SE-581 85 Linköping, Sweden

Gustaf Ullman Qu antifying Image Qu ality in Diagno stic Radio lo gy Linköping 2008

References

Related documents

an image quality phantom using different radiation dose levels and iterative image optimisation levels (Paper I).. Philips IR and MBIR were futher investigated for abdominal CT

The fourth paper uses clinical spectral mammography images from a screening population to measure the effective atomic number of breast skin and compares it to the only

The measurements for resolution and noise are performed on both types of images, while it is only possible to estimate the exposure time in the images of a rotating target (see

Linköping University Medical Dissertations

Results  of  human  observers  were  used  in  paper  IV.  To  design  and  perform  human  observer  studies  is  time  consuming  and  requires  close 

4 In order to recognize the currency, the system should contain the techniques which include image pre-processing, edge detection, segmentation, pattern matching.. 1.2.1

cumfcribendam esfe. Haud pauci, quorum nomina re- ferre longum föret, eandem fovebant opinionem. Quod. ni ita fuisfet, quilibet facile perfpicit, opus

Figure 13: Each VDC in a segment cropped out of the foreground image using the co- ordinates found when template matching was applied to the background image.. 3.2.2