title: Image quality evaluation of flat panel and image intensifier digital magnification in x-ray fluoroscopy.
abstract: Interventional devices used in radiology often have dimensions on the order of a pixel, and radiologists resort to image magnification to better visualize such small devices. Traditional image intensifier (II) systems use analog magnification with x-ray exposure inversely proportional to the area of field of view (FOV) so as to maintain light output for the camera. Analog magnification is impossible with flat panel (FP) detectors, and images must be magnified using digital interpolation that does not reduce the pixel partial area effect for small devices. We quantitatively investigated image quality of digital and analog magnification using a clinically relevant task of detecting a partially deployed stent in x-ray fluoroscopy image sequences that were created using realistic detector models. Using the standard exposure strategy for II analog magnification, exposure was increased from a nominal 43.65 nGy (5.0 microR) per frame at 23 cm FOV to 79.9 nGy (9.15 microR) per frame and 117.81 nGy (13.49 microR) per frame at 17 cm and 14 cm FOV, respectively. Contrast sensitivity improved significantly (p<0.1) by 43.5+/-6.5% and 64.1+/-7.3% with the 17 cm and 14 cm FOV, respectively. Exposure for digitally magnified images was varied in an adaptive forced choice experiment so as to match performance with II analog magnification. For digital magnification, bilinear interpolation was used to give magnified stents sizes equivalent to those in the analog magnified images. For equivalent image quality, FP required 34.87+/-2.59, 80.16+/-5.37, and 84.08+/-5.59 nGy per frame at normal, and the two magnification modes, respectively. Hence, FP with digital magnification gives significant (p<0.1) dose savings of 20+/-6% and 27+/-5% at the normal and highest magnification modes, respectively. Digitally magnified II images required exposures of 110.85+/-8.07 and 103.34+/-5.90 nGy per frame for the two magnifications levels, respectively, giving no significant (p>0.1) dose savings. A spatiotemporal human observer model based on signal detection theory successfully predicted the human data and was used to predict other conditions associated with image magnification. Model predictions quantitatively showed that magnification is most useful when signal size is relatively small and that FP digital magnification can improve image quality for the stent deployment task without increasing exposure. In conclusion, the results show that FP digital magnification can be useful and dose efficient as compared to analog magnification.
authors.affiliation: Case Western Reserve University, Department of Biomedical Engineering, Cleveland, Ohio 44106, USA.
authors.forename: Yogesh
authors.initials: Y
authors.lastname: Srinivas
authors.forename: David L
authors.initials: DL
authors.lastname: Wilson
mesh_terms: D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D015233:Models, Statistical; D016012:Poisson Distribution; D011856:Radiographic Image Enhancement; D011873:Radiology Information Systems; D014963:X-Ray Intensifying Screens