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Potential of iterative reconstruction for maxillofacial cone beam CT imaging: technical note.
Matenine, Dmitri; Kachelriess, Marc; Després, Philippe; de Guise, Jacques A; Schmittbuhl, Matthieu.
Affiliation
  • Matenine D; Laboratoire de recherche en imagerie et orthopédie, Centre de recherche du Centre hospitalier de l'Université de Montréal, 900 St-Denis, Montréal, QC, H2X 0A9, Canada. dmitri.matenine@etsmtl.ca.
  • Kachelriess M; Département de génie des systèmes, École de technologie supérieure, Montréal, QC, H3C 1K3, Canada. dmitri.matenine@etsmtl.ca.
  • Després P; German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, 69120, Heidelberg, Germany.
  • de Guise JA; Ruprecht-Karls-University Heidelberg, Im Neuenheimer Feld 672, 69120, Heidelberg, Germany.
  • Schmittbuhl M; Département de physique, de génie physique et d'optique and Centre de recherche sur le cancer, Université Laval, Québec, QC, G1V 0A6, Canada.
Neuroradiology ; 62(11): 1511-1514, 2020 Nov.
Article in En | MEDLINE | ID: mdl-32556404
ABSTRACT
Iterative reconstruction has been proven to be an effective tool for low-dose computed tomography imaging. However, this technology is currently not available in commercial diagnostic maxillofacial cone beam CT. For this technical note, an iterative reconstruction technique was applied to cone beam CT raw data of two maxillofacial clinical cases to explore its potential for dose reduction and metal artifact reduction. Low-dose imaging was emulated by using only fractions of the clinical projection dataset. The reconstruction algorithms tested were filtered backprojection (FBP) as a reference method, and a total variation minimization (TV) regularized ordered subsets convex (OSC-TV) method as the iterative technique. Upon qualitative examination, the OSC-TV technique was found to conserve most diagnostic information using half the projections. Test images have also shown that at 1/4 of the projections, OSC-TV was more robust than FBP with respect to streaking and metal artifacts.
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Full text: 1 Database: MEDLINE Main subject: Radiographic Image Interpretation, Computer-Assisted / Temporomandibular Joint Disorders / Cone-Beam Computed Tomography / Maxillary Sinus Type of study: Qualitative_research Limits: Child / Female / Humans / Male / Middle aged Language: En Year: 2020 Type: Article

Full text: 1 Database: MEDLINE Main subject: Radiographic Image Interpretation, Computer-Assisted / Temporomandibular Joint Disorders / Cone-Beam Computed Tomography / Maxillary Sinus Type of study: Qualitative_research Limits: Child / Female / Humans / Male / Middle aged Language: En Year: 2020 Type: Article