Title :
Quantitative image quality improvement in spatially filtered image sequences
Author :
Jabri, Kadri N. ; Wilson, David L.
Author_Institution :
Dept. of Biomed. Eng., Case Western Reserve Univ., Cleveland, OH, USA
Abstract :
We quantitatively investigated the effect of simulated edge-preserving spatial filtering on image quality of simulated X-ray fluoroscopy images. Using very objective detection tests with human-observers, we compared image quality in image sequences with that in single frames. Although the effect in single frames was insignificant, spatial filtering improved detection in sequences by as much as 23%. In both cases, pixel noise reduction, a measure often used to assess filters, clearly overestimated filter effectiveness. We conclude that edge-preserving filtering is more effective in sequences than in single images and that such filtering may be used to improve image quality in noisy image sequences
Keywords :
diagnostic radiography; image sequences; medical image processing; medical signal detection; noise; spatial filters; filter effectiveness; human-observers; noisy image sequences; pixel noise reduction; quantitative image quality improvement; simulated X-ray fluoroscopy images; simulated edge-preserving spatial filtering; single frames; spatially filtered image sequences; very objective detection tests; Background noise; Filtering; Image edge detection; Image quality; Image sequences; Noise measurement; Noise reduction; Object detection; Pixel; Spatial filters;
Conference_Titel :
[Engineering in Medicine and Biology, 1999. 21st Annual Conference and the 1999 Annual Fall Meetring of the Biomedical Engineering Society] BMES/EMBS Conference, 1999. Proceedings of the First Joint
Conference_Location :
Atlanta, GA
Print_ISBN :
0-7803-5674-8
DOI :
10.1109/IEMBS.1999.804308