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Perceptual thresholds for differences in CT noise texture.
Oostveen, Luuk J; Boedeker, Kirsten; Shin, Daniel; Abbey, Craig K; Sechopoulos, Ioannis.
Afiliación
  • Oostveen LJ; Radboud University Medical Center, Nijmegen, The Netherlands.
  • Boedeker K; Canon Medical Systems Corporation, Los Angeles, California, United States.
  • Shin D; Canon Medical Systems Corporation, Los Angeles, California, United States.
  • Abbey CK; University of California, Santa Barbara, Santa Barbara, California, United States.
  • Sechopoulos I; Radboud University Medical Center, Nijmegen, The Netherlands.
J Med Imaging (Bellingham) ; 11(3): 035501, 2024 May.
Article en En | MEDLINE | ID: mdl-38737494
ABSTRACT

Purpose:

The average (fav) or peak (fpeak) noise power spectrum (NPS) frequency is often used as a one-parameter descriptor of the CT noise texture. Our study develops a more complete two-parameter model of the CT NPS and investigates the sensitivity of human observers to changes in it.

Approach:

A model of CT NPS was created based on its fpeak and a half-Gaussian fit (σ) to the downslope. Two-alternative forced-choice staircase studies were used to determine perceptual thresholds for noise texture, defined as parameter differences with a predetermined level of discrimination performance (80% correct). Five imaging scientist observers performed the forced-choice studies for eight directions in the fpeak/σ-space, for two reference NPSs (corresponding to body and lung kernels). The experiment was repeated with 32 radiologists, each evaluating a single direction in the fpeak/σ-space. NPS differences were quantified by the noise texture contrast (Ctexture), the integral of the absolute NPS difference.

Results:

The two-parameter NPS model was found to be a good representation of various clinical CT reconstructions. Perception thresholds for fpeak alone are 0.2 lp/cm for body and 0.4 lp/cm for lung NPSs. For σ, these values are 0.15 and 2 lp/cm, respectively. Thresholds change if the other parameter also changes. Different NPSs with the same fpeak or fav can be discriminated. Nonradiologist observers did not need more Ctexture than radiologists.

Conclusions:

fpeak or fav is insufficient to describe noise texture completely. The discrimination of noise texture changes depending on its frequency content. Radiologists do not discriminate noise texture changes better than nonradiologists.
Palabras clave

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: J Med Imaging (Bellingham) Año: 2024 Tipo del documento: Article País de afiliación: Países Bajos Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: J Med Imaging (Bellingham) Año: 2024 Tipo del documento: Article País de afiliación: Países Bajos Pais de publicación: Estados Unidos