Your browser doesn't support javascript.
loading
Radiation dose reduction and image quality improvement with ultra-high resolution temporal bone CT using deep learning-based reconstruction: An anatomical study.
Boubaker, Fatma; Puel, Ulysse; Eliezer, Michael; Hossu, Gabriela; Assabah, Bouchra; Haioun, Karim; Blum, Alain; Gondim-Teixeira, Pedro Augusto; Parietti-Winkler, Cécile; Gillet, Romain.
Afiliación
  • Boubaker F; Guilloz Imaging Department, Central Hospital, University Hospital Center of Nancy, 54000, Nancy, France.
  • Puel U; Guilloz Imaging Department, Central Hospital, University Hospital Center of Nancy, 54000, Nancy, France; Université de Lorraine, INSERM, IADI, 54000, Nancy, France; Université de Lorraine, CIC, Innovation Technologique, University Hospital Center of Nancy, 54000, Nancy, France.
  • Eliezer M; Department of Radiology, Hôpital des 15-20, 75571 Paris, France.
  • Hossu G; Université de Lorraine, INSERM, IADI, 54000, Nancy, France; Université de Lorraine, CIC, Innovation Technologique, University Hospital Center of Nancy, 54000, Nancy, France.
  • Assabah B; Department of Anatomy, University Hospital Center of Nancy, 54000, Nancy, France.
  • Haioun K; Canon Medical Systems Corporation, Kawasaki-shi, 212-0015 Kanagawa, Japan.
  • Blum A; Guilloz Imaging Department, Central Hospital, University Hospital Center of Nancy, 54000, Nancy, France; Université de Lorraine, INSERM, IADI, 54000, Nancy, France; Université de Lorraine, CIC, Innovation Technologique, University Hospital Center of Nancy, 54000, Nancy, France.
  • Gondim-Teixeira PA; Guilloz Imaging Department, Central Hospital, University Hospital Center of Nancy, 54000, Nancy, France; Université de Lorraine, INSERM, IADI, 54000, Nancy, France; Université de Lorraine, CIC, Innovation Technologique, University Hospital Center of Nancy, 54000, Nancy, France.
  • Parietti-Winkler C; ENT Surgery Department, Central Hospital, University Hospital Center of Nancy, 54000 Nancy, France.
  • Gillet R; Guilloz Imaging Department, Central Hospital, University Hospital Center of Nancy, 54000, Nancy, France; Université de Lorraine, INSERM, IADI, 54000, Nancy, France; Université de Lorraine, CIC, Innovation Technologique, University Hospital Center of Nancy, 54000, Nancy, France. Electronic address: r
Diagn Interv Imaging ; 105(10): 371-378, 2024 Oct.
Article en En | MEDLINE | ID: mdl-38744577
ABSTRACT

PURPOSE:

The purpose of this study was to evaluate the achievable radiation dose reduction of an ultra-high resolution computed tomography (UHR-CT) scanner using deep learning reconstruction (DLR) while maintaining temporal bone image quality equal to or better than high-resolution CT (HR-CT). MATERIALS AND

METHODS:

UHR-CT acquisitions were performed with variable tube voltages and currents at eight different dose levels (volumic CT dose index [CTDIvol] range 4.6-79 mGy), 10242 matrix, and 0.25 mm slice thickness and reconstructed using DLR and hybrid iterative reconstruction (HIR) algorithms. HR-CT images were acquired using a standard protocol (120 kV/220 mAs; CTDI vol, 54.2 mGy, 5122 matrix, and 0.5 mm slice thickness). Two radiologists rated the image quality of seven structures using a five point confidence scale on six cadaveric temporal bone CTs. A global image quality score was obtained for each CT protocol by summing the image quality scores of all structures.

RESULTS:

With DLR, UHR-CT at 120 kV/220 mAs (CTDIvol, 50.9 mGy) and 140 kV/220 mAs (CTDIvol, 79 mGy) received the highest global image quality scores (4.88 ± 0.32 [standard deviation (SD)] [range 4-5] and 4.85 ± 0.35 [range 4-5], respectively; P = 0.31), while HR-CT at 120 kV/220 mAs and UHR-CT at 120 kV/20 mAs received the lowest (i.e., 3.14 ± 0.75 [SD] [range 2-5] and 2.97 ± 0.86 [SD] [range 1-5], respectively; P = 0.14). All the DLR protocols had better image quality scores than HR-CT with HIR.

CONCLUSION:

UHR-CT with DLR can be performed with up to a tenfold reduction in radiation dose compared to HR-CT with HIR while maintaining or improving image quality.
Asunto(s)
Palabras clave
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Dosis de Radiación / Hueso Temporal / Tomografía Computarizada por Rayos X / Mejoramiento de la Calidad / Aprendizaje Profundo Límite: Humans Idioma: En Revista: Diagn Interv Imaging Año: 2024 Tipo del documento: Article País de afiliación: Francia Pais de publicación: Francia
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Dosis de Radiación / Hueso Temporal / Tomografía Computarizada por Rayos X / Mejoramiento de la Calidad / Aprendizaje Profundo Límite: Humans Idioma: En Revista: Diagn Interv Imaging Año: 2024 Tipo del documento: Article País de afiliación: Francia Pais de publicación: Francia