title: [Investigation of image quality identification utilizing physical image quality measurement in direct- and indirect-type of flat panel detectors and computed radiography].
abstract: The purpose of this study was to investigate image quality identification methods among direct- and indirect-type flat panel detectors (FPDs) and a computed radiography (CR) system using two radiation qualities RQA3 and RQA5 defined in the IEC 61267 standard. For each system, the digital characteristic curve, the presampled modulation transfer function (MTF), and the normalized noise power spectrum (NNPS) were measured. Images for a burger phantom and a foot-bone phantom were processed by resolution identification utilizing two-dimensional Fourier transform, and then contrast-to-noise ratio (CNR) for each image was measured. For the RQA3, the direct FPD system indicated the highest DQE value, and for the RQA5 DQE value of indirect FPD system, it was a little higher than that of direct FPD system. The CNR results with the resolution identification displayed good accordance with the DQE results in both phantoms. From the DQE results, dose ratios for image quality identification were determined, and the CNRs of the dose-adjusted images were measured. The results for, the CNRs of all systems showed good coincidence. From these findings, they indicated that the DQE measurement is effective to determine the exposure parameters for equalizing the image quality of different types of radiographic systems.
authors: Department of Radiology, Kanazawa University Hospital.
authors: Tomohiro
authors: T
authors: Yokoi
authors: Tadanori
authors: T
authors: Takata
authors: Katsuhiro
authors: K
authors: Ichikawa
mesh_terms: D005583:Fourier Analysis; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D019047:Phantoms, Imaging; D058996:Quality Improvement; D011789:Quantum Theory; D011829:Radiation Dosage; D011856:Radiographic Image Enhancement / Q000295:instrumentation* / Q000379:methods*; D059629:Signal-To-Noise Ratio; D014963:X-Ray Intensifying Screens