Paper Info
Title
Introducing a novel image quality measure for digital phase-contrast-image evaluation
Abstract
Recently, detective quantum efficiency (DQE) arising from the concept of signal-to-noise ratio (SNR) has been used for assessing digital x-ray imaging systems Using a phase-shift of x-rays that occurs when passing through an object, digital phase contrast imaging (herein referred to as “phase imaging”), which involves magnification, can produce images different from those of standard contact imaging (herein referred to as “regular imaging”) For this reason, assessment of the image quality based on DQE which does not include the object information may not be appropriate to compare image quality between the phase images and the regular images As an alternative method, we proposed a new image quality assessment method based on radial direction distribution function (RDDF) and signal intensity distribution function (SIDF) in two-dimensional power spectra of images that contain information of an object To evaluate the usefulness of our method based on RDDF and SIDF, we assessed images of different contrast, noise characteristic and sharpness using simple phantoms Our results showed that the accurate evaluation of these factors was successfully performed Comparing the image quality of projected plant seeds by phase imaging and regular imaging, we found the phase imaging method provided higher image quality in terms of edge sharpness than that of the regular imaging.
Year
DOI
Venue
2010
10.1007/978-3-642-13666-5_19
Digital Mammography / IWDM
Keywords
Field
DocType
regular imaging,higher image quality,image quality,novel image quality measure,phase imaging method,phase image,digital x-ray imaging system,phase imaging,standard contact imaging,digital phase contrast imaging,digital phase-contrast-image evaluation,new image quality assessment,distribution function,detective quantum efficiency,signal to noise ratio,phase shift,edge enhancement,phase contrast
Computer vision,Detective quantum efficiency,Contrast resolution,Image quality,Phase-contrast imaging,Artificial intelligence,Magnification,Point spread function,Distribution function,Mathematics,Edge enhancement
Conference
Volume
ISSN
ISBN
6136
0302-9743
3-642-13665-6
Citations 
PageRank 
References 
0
0.34
2
Authors
4
Name
Order
Citations
PageRank
Satoru Matsuo1112.45
Hiroshi Fujita2808.59
Junji Morishita3288.02
Tetsuro Katafuchi4102.95