Impact of model-based iterative reconstruction on low-contrast lesion detection and image quality in abdominal CT: a 12-reader-based comparative phantom study with filtered back projection at different tube voltages.

Objectives: To evaluate the impact of model-based iterative reconstruction (MBIR) on image quality and low-contrast lesion detection compared with filtered back projection (FBP) in abdominal computed tomography (CT) of simulated medium and large patients at different tube voltages.Methods: A phantom...

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Publicado en:European Radiology Vol. 27; no. 12; pp. 5252 - 5260
Autores principales: Euler, André, Stieltjes, Bram, Szucs-Farkas, Zsolt, Eichenberger, Reto, Reisinger, Clemens, Hirschmann, Anna, Zaehringer, Caroline, Kircher, Achim, Streif, Matthias, Bucher, Sabine, Buergler, David, D'Errico, Luigia, Kopp, Sebastién, Wilhelm, Markus, Schindera, Sebastian, Schindera, Sebastian T
Formato: pictorial research tables/charts Journal Article
Publicado: Springer Nature Dec2017
Acceso en línea:Ver este registro en EBSCOhost
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      pub: Springer Nature
      place: New York, New York
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        atl: Impact of model-based iterative reconstruction on low-contrast lesion detection and image quality in abdominal CT: a 12-reader-based comparative phantom study with filtered back projection at different tube voltages.
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        au:
          Euler, André
          Stieltjes, Bram
          Szucs-Farkas, Zsolt
          Eichenberger, Reto
          Reisinger, Clemens
          Hirschmann, Anna
          Zaehringer, Caroline
          Kircher, Achim
          Streif, Matthias
          Bucher, Sabine
          Buergler, David
          D'Errico, Luigia
          Kopp, Sebastién
          Wilhelm, Markus
          Schindera, Sebastian
          Euler, André
          Kopp, Sebastién
          Schindera, Sebastian T
        affil: Clinic of Radiology and Nuclear Medicine , University Hospital Basel , Basel Switzerland
      sug:
        subj:
          Algorithms
          Phantoms, Imaging
          Radiographic Image Interpretation, Computer-Assisted Methods
          Tomography, X-Ray Computed Standards
          Human
          Radiation Dosage
          Validation Studies
          Comparative Studies
          Evaluation Research
          Multicenter Studies
      ab: Objectives: To evaluate the impact of model-based iterative reconstruction (MBIR) on image quality and low-contrast lesion detection compared with filtered back projection (FBP) in abdominal computed tomography (CT) of simulated medium and large patients at different tube voltages.Methods: A phantom with 45 hypoattenuating lesions was placed in two water containers and scanned at 70, 80, 100, and 120 kVp. The 120-kVp protocol served as reference, and the volume CT dose index (CTDIvol) was kept constant for all protocols. The datasets were reconstructed with MBIR and FBP. Image noise and contrast-to-noise-ratio (CNR) were assessed. Low-contrast lesion detectability was evaluated by 12 radiologists.Results: MBIR decreased the image noise by 24% and 27%, and increased the CNR by 30% and 29% for the medium and large phantoms, respectively. Lower tube voltages increased the CNR by 58%, 46%, and 16% at 70, 80, and 100 kVp, respectively, compared with 120 kVp in the medium phantom and by 9%, 18% and 12% in the large phantom. No significant difference in lesion detection rate was observed (medium: 79-82%; large: 57-65%; P > 0.37).Conclusions: Although MBIR improved quantitative image quality compared with FBP, it did not result in increased low-contrast lesion detection in abdominal CT at different tube voltages in simulated medium and large patients.Key Points: • MBIR improved quantitative image quality but not lesion detection compared with FBP. • Increased CNR by low tube voltages did not improve lesion detection. • Changes in image noise and CNR do not directly influence diagnostic accuracy.
      pubtype: Academic Journal
      doctype:
        pictorial
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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