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Iterative reconstruction combined with low dose CT in diagnosis of lumbar intervertebral disc hernia / 中国医学影像技术
Chinese Journal of Medical Imaging Technology ; (12): 458-461, 2017.
Article Dans Chinois | WPRIM | ID: wpr-608759
ABSTRACT
Objective To explore the value of iteration algorithm (AIDR 3D) and filter-back projection (FBP) combined with CT low dose scanning in evaluation of lumbar intervertebral disc hernia.Methods Totally 150 patients with lumbar degenerative osteoarthropathy were randomly divided into A>E groups,with 30 cases in each group.Scanning parameters of A>D groups were 120 kV of tube voltage,and 100 mAs,50 mAs,30 mAs,as well as 20 mAs of tube current.While parameters of group E were 80 kV of tube voltage and 100 mAs of tube current.Each group was reconstructed with FBP and AIDR 3D,respectively,and their noises,SNRs and CNRs of groups were compared.And 3-point evaluation method was used to score the imaging,while score ≥2 were acceptable image quantity for clinical imaging.Results Under different radiation doses,AIDR 3D reconstruction images were superior to FBP in noise,SNR,CNR and display of intervertebral disc hernia.Under the same reconstruction technology,with the reduction of dose,noise increased,SNR and display of intervertebral disc hernia decreased.Except for slightly lower in AIDR 3D reconstruction with 50 mAs than that with 30 mAs,CNR decreased with the reduction of dose.Two reconstruction technologies under the same dose,image quality of reducing the tube current were better than that of lowering the tube voltage.Conclusion It is valuable of AIDR 3D combined with CT low dose scanning in evaluation on lumbar intervertebral disc hernia.

Texte intégral: Disponible Indice: WPRIM (Pacifique occidental) Type d'étude: Etude diagnostique langue: Chinois Texte intégral: Chinese Journal of Medical Imaging Technology Année: 2017 Type: Article

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Texte intégral: Disponible Indice: WPRIM (Pacifique occidental) Type d'étude: Etude diagnostique langue: Chinois Texte intégral: Chinese Journal of Medical Imaging Technology Année: 2017 Type: Article