Ultra-high-resolution CT urography: Importance of matrix size and reconstruction technique on image quality

被引:2
作者
Nakamoto, Atsushi [1 ]
Hori, Masatoshi [1 ]
Onishi, Hiromitsu [1 ]
Ota, Takashi [1 ]
Fukui, Hideyuki [1 ]
Ogawa, Kazuya [1 ]
Yano, Keigo [1 ]
Tatsumi, Mitsuaki [1 ]
Tomiyama, Noriyuki [1 ]
机构
[1] Osaka Univ, Grad Sch Med, Dept Diagnost & Intervent Radiol, 2-2,Yamadaoka, Suita, Osaka 5650871, Japan
关键词
High-resolution computed tomography; Iterative reconstruction; CT urography; Urinary tract; RADIATION-DOSE REDUCTION; ITERATIVE RECONSTRUCTION; ANGIOGRAPHY; ARTERY;
D O I
10.1016/j.ejrad.2020.109148
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Purpose: To evaluate the image quality of CT urography (CTU) obtained with ultra-high-resolution CT (U-HRCT) reconstructed with hybrid iterative reconstruction (IR) and model-based IR algorithms. Method: Forty-eight patients who underwent CTU using the U-HRCT system were enrolled in this retrospective study. Excretory phase images were reconstructed with three protocols: Protocol A: 1024-matrix, 0.25 mm-thickness, and model-based IR; Protocol B: 1024-matrix, 0.25 mm-thickness, and hybrid IR; Protocol C: 512matrix, 0.5 mm-thickness, and model-based IR. Objective image noise and contrast-to-noise ratio (CNR) of the renal pelvis were compared among the protocols. Three-dimensional maximum intensity projection CTU images were generated from each image data set, and image quality was evaluated by two radiologists. Results: Protocol C yielded the lowest objective image noise and highest CNR, whereas Protocol A had highest image noise and lowest CNR (P < 0.01). Regarding the detailed delineation of urinary tract structures on the images, the mean visual score was significantly higher for Protocol A than for Protocols B and C (P < 0.001), and the mean score for subjective image noise was significantly lower for Protocol A than for Protocols B and C (P < 0.001). Conclusions: CTU with a 1024-matrix and model-based IR depicted the structures of the urinary system in the most detail.
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页数:7
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共 21 条
[1]   Deep learning reconstruction improves image quality of abdominal ultra-high-resolution CT [J].
Akagi, Motonori ;
Nakamura, Yuko ;
Higaki, Toru ;
Narita, Keigo ;
Honda, Yukiko ;
Zhou, Jian ;
Yu, Zhou ;
Akino, Naruomi ;
Awai, Kazuo .
EUROPEAN RADIOLOGY, 2019, 29 (11) :6163-6171
[2]   MDCT urography of upper tract urothelial neoplasms [J].
Caoili, EM ;
Cohan, RH ;
Inampudi, P ;
Ellis, JH ;
Shah, RB ;
Faerber, GJ ;
Montie, JE .
AMERICAN JOURNAL OF ROENTGENOLOGY, 2005, 184 (06) :1873-1881
[3]   Assessment of a Model-Based, Iterative Reconstruction Algorithm (MBIR) Regarding Image Quality and Dose Reduction in Liver Computed Tomography [J].
Chang, Won ;
Lee, Jeong Min ;
Lee, Kyunghee ;
Yoon, Jeong Hee ;
Yu, Mi Hye ;
Han, Joon Koo ;
Choi, Byung Ihn .
INVESTIGATIVE RADIOLOGY, 2013, 48 (08) :598-606
[4]   Forward-Projected Model-Based Iterative Reconstruction in Screening Low-Dose Chest CT: Comparison With Adaptive Iterative Dose Reduction 3D [J].
Hassani, Cameron ;
Ronco, Anthony ;
Prosper, Ashley E. ;
Dissanayake, Sumudu ;
Cen, Steven Y. ;
Lee, Christopher .
AMERICAN JOURNAL OF ROENTGENOLOGY, 2018, 211 (03) :548-556
[5]   Effect of Matrix Size on the Image Quality of Ultra-high-resolution CT of the Lung: Comparison of 512 x 512, 1024 x 1024, and 2048 x 2048 [J].
Hata, Akinori ;
Yanagawa, Masahiro ;
Honda, Osamu ;
Kikuchi, Noriko ;
Miyata, Tomo ;
Tsukagoshi, Shinsuke ;
Uranishi, Ayumi ;
Tomiyama, Noriyuki .
ACADEMIC RADIOLOGY, 2018, 25 (07) :869-876
[6]   Detectability of minute temporal bone structures with ultra-high resolution CT [J].
Hiraumi, Harukazu ;
Obara, Makiko ;
Yoshioka, Kunihiro ;
Ehara, Shigeru ;
Sato, Hiroaki .
AURIS NASUS LARYNX, 2019, 46 (06) :830-835
[7]   Investigation of the freely available easy-to-use software 'EZR' for medical statistics [J].
Kanda, Y. .
BONE MARROW TRANSPLANTATION, 2013, 48 (03) :452-458
[8]   Ultra-high-resolution subtraction CT angiography in the follow-up of treated intracranial aneurysms [J].
Meijer, Frederick J. A. ;
Schuijf, Joanne D. ;
de Vries, Joost ;
Boogaarts, Hieronymus D. ;
van der Woude, Willem-Jan ;
Prokop, Mathias .
INSIGHTS INTO IMAGING, 2019, 10 (01)
[9]   Quantitative and qualitative evaluation of hybrid iterative reconstruction, with and without noise power spectrum models: A phantom study [J].
Minamishima, Kazuya ;
Sugisawa, Koichi ;
Yamada, Yoshitake ;
Jinzaki, Masahiro .
JOURNAL OF APPLIED CLINICAL MEDICAL PHYSICS, 2018, 19 (03) :318-325
[10]   Ultra-High-Resolution Computed Tomography Angiography for Assessment of Coronary Artery Stenosis [J].
Motoyama, Sadako ;
Ito, Hajime ;
Sarai, Masayoshi ;
Nagahara, Yasuomi ;
Miyajima, Keiichi ;
Matsumoto, Ryota ;
Doi, Yujiro ;
Kataoka, Yumi ;
Takahashi, Hiroshi ;
Ozaki, Yukio ;
Toyama, Hiroshi ;
Katada, Kazuhiro .
CIRCULATION JOURNAL, 2018, 82 (07) :1844-1851