Your browser doesn't support javascript.
loading
SIGNAL-TO-NOISE RATIO RATE MEASUREMENT IN FLUOROSCOPY FOR QUALITY CONTROL AND TEACHING GOOD RADIOLOGICAL IMAGING TECHNIQUE.
Elgström, Henrik; Tesselaar, Erik; Sandborg, Michael.
Afiliação
  • Elgström H; Department of Medical Radiation Physics, Department of Health, Medicine and Caring Sciences, Linköping University, 58185 Linköping, Sweden.
  • Tesselaar E; Department of Medical Radiation Physics, Department of Health, Medicine and Caring Sciences, Linköping University, 58185 Linköping, Sweden.
  • Sandborg M; Department of Medical Radiation Physics, Department of Health, Medicine and Caring Sciences, Linköping University, 58185 Linköping, Sweden.
Radiat Prot Dosimetry ; 195(3-4): 407-415, 2021 Oct 12.
Article em En | MEDLINE | ID: mdl-33517437
ABSTRACT
Visibility of low-contrast details in fluoroscopy and interventional radiology is important. Assessing detail visibility with human observers typically suffers from large observer variances. Objective, quantitative measurement of low-contrast detail visibility using a model observer, such as the square of the signal-to-noise ratio rate (SNR2rate), was implemented in MATLAB™ and evaluated. The expected linear response of SNR2rate based on predictions by the so-called Rose model and frame statistics was verified. The uncertainty in the measurement of SNR2rate for a fixed imaging geometry was 6% based on 16 repeated measurements. The results show that, as expected, reduced object thickness and x-ray field size substantially improved SNR2rate/PKA,rate with PKA,rate being the air kerma area product rate. The measurement precision in SNR2rate/PKA,rate (8-9%) is sufficient to detect small but important improvements, may guide the selection of better imaging settings and provides a tool for teaching good radiological imaging techniques to clinical staff.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Radiologia Intervencionista Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Radiologia Intervencionista Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article