Comparison of the image qualities of filtered back-projection, adaptive statistical iterative reconstruction, and model-based iterative reconstruction for CT venography at 80 kVp

被引:23
作者
Kim, Jin Hyeok [1 ]
Choo, Ki Seok [1 ]
Moon, Tae Yong [1 ]
Lee, Jun Woo [1 ]
Jeon, Ung Bae [1 ]
Kim, Tae Un [1 ]
Hwang, Jae Yeon [1 ]
Yun, Myeong-Ja [2 ]
Jeong, Dong Wook [3 ]
Lim, Soo Jin [4 ]
机构
[1] Pusan Natl Univ, Res Inst Convergence Biomed Sci & Technol, Dept Radiol, Yangsan Hosp,Sch Med, Pusan 609735, South Korea
[2] Pusan Natl Univ, Sch Med, Dept Prevent & Occupat Med, Pusan 609735, South Korea
[3] Pusan Natl Univ, Sch Med, Dept Family Med, Yangsan Hosp, Pusan 609735, South Korea
[4] Kimhae Jungang Hosp, Dept Cardiol, Gyeongsangnam Do, South Korea
关键词
Diagnosis; Radiography; Multidetector computed tomography; Lower extremity; Veins; DEEP-VEIN THROMBOSIS; COMPUTED-TOMOGRAPHY VENOGRAPHY; LOW KILOVOLTAGE SETTINGS; RADIATION-DOSE REDUCTION; TUBE-VOLTAGE TECHNIQUE; MULTIDETECTOR-ROW CT; PULMONARY-EMBOLISM; ABDOMINAL CT; VENOUS THROMBOSIS; VASCULAR ENHANCEMENT;
D O I
10.1007/s00330-015-4060-1
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
To evaluate the subjective and objective qualities of computed tomography (CT) venography images at 80 kVp using model-based iterative reconstruction (MBIR) and to compare these with those of filtered back projection (FBP) and adaptive statistical iterative reconstruction (ASIR) using the same CT data sets. Forty-four patients (mean age: 56.1 +/- 18.1) who underwent 80 kVp CT venography (CTV) for the evaluation of deep vein thrombosis (DVT) during 4 months were enrolled in this retrospective study. The same raw data were reconstructed using FBP, ASIR, and MBIR. Objective and subjective image analysis were performed at the inferior vena cava (IVC), femoral vein, and popliteal vein. The mean CNR of MBIR was significantly greater than those of FBP and ASIR and images reconstructed using MBIR had significantly lower objective image noise (p < .001). Subjective image quality and confidence of detecting DVT by MBIR group were significantly greater than those of FBP and ASIR (p < .005), and MBIR had the lowest score for subjective image noise (p < .001). CTV at 80 kVp with MBIR was superior to FBP and ASIR regarding subjective and objective image qualities. aEuro cent MBIR provides superior image quality compared with FBP and ASIR aEuro cent CTV at 80kVp with MBIR improves diagnostic confidence in diagnosing DVT aEuro cent CTV at 80kVp with MBIR presents better image quality with low radiation.
引用
收藏
页码:2055 / 2063
页数:9
相关论文
共 50 条
  • [41] Model-Based Iterative Reconstruction in CT Enterography
    Murphy, Kevin P.
    Crush, Lee
    Twomey, Maria
    McLaughlin, Patrick D.
    Mildenberger, Iris C.
    Moore, Niamh
    Bye, Jackie
    O'Connor, Owen J.
    McSweeney, Sean E.
    Shanahan, Fergus
    Maher, Michael M.
    AMERICAN JOURNAL OF ROENTGENOLOGY, 2015, 205 (06) : 1173 - 1181
  • [42] Accuracy of Model-Based Iterative Reconstruction for CT Volumetry of Part-Solid Nodules and Solid Nodules in Comparison with Filtered Back Projection and Hybrid Iterative Reconstruction at Various Dose Settings: An Anthropomorphic Chest Phantom Study
    Kim, Seung Kwan
    Kim, Cherry
    Lee, Ki Yeol
    Cha, Jaehyung
    Lim, Hyun-ju
    Kang, Eun-Young
    Oh, Yu-Whan
    KOREAN JOURNAL OF RADIOLOGY, 2019, 20 (07) : 1195 - 1206
  • [43] The Detection of Focal Liver Lesions Using Abdominal CT: A Comparison of Image Quality Between Adaptive Statistical Iterative Reconstruction V and Adaptive Statistical Iterative Reconstruction
    Lee, Sangyun
    Kwon, Heejin
    Cho, Jihan
    ACADEMIC RADIOLOGY, 2016, 23 (12) : 1532 - 1538
  • [44] Iterative Model Reconstruction (IMR) in MDCT Below 2 mSv for the Detection of Urinary Calculi: Diagnostic Accuracy and Image Quality in Comparison to Filtered Back-Projection and 4th Generation Iterative Reconstruction (iDose4)
    Schmidt-Holtz, Jakob
    Laqmani, Azien
    Butscheidt, Sebastian
    Kurfuerst, Max
    Avanesov, Maxim
    Behzadi, Cyrus
    Spink, Clemens
    Veldhoen, Simon
    Nagel, Hans Dieter
    Adam, Gerhard
    Regier, Marc
    ROFO-FORTSCHRITTE AUF DEM GEBIET DER RONTGENSTRAHLEN UND DER BILDGEBENDEN VERFAHREN, 2018, 190 (07): : 630 - 636
  • [45] Coronary Computed Tomographic Angiography at 80 kVp and Knowledge-Based Iterative Model Reconstruction Is Non-Inferior to that at 100 kVp with Iterative Reconstruction
    Lee, Joohee
    Park, Chul Hwan
    Oh, Chi Suk
    Han, Kyunghwa
    Kim, Tae Hoon
    PLOS ONE, 2016, 11 (09):
  • [46] Quantitative Analysis of Airway Tree in Low-dose Chest CT with a New Model-based Iterative Reconstruction Algorithm: Comparison to Adaptive Statistical Iterative Reconstruction in Routine-dose CT
    Jia, Yongjun
    Ji, Xing
    He, Taiping
    Yu, Yong
    Yu, Nan
    Duan, Haifeng
    Guo, Youmin
    ACADEMIC RADIOLOGY, 2018, 25 (12) : 1526 - 1532
  • [47] Coronary artery plaques: Cardiac CT with model-based and adaptive-statistical iterative reconstruction technique
    Scheffel, Hans
    Stolzmann, Paul
    Schlett, Christopher L.
    Engel, Leif-Christopher
    Major, Gyoengi Petra
    Karolyi, Mihaly
    Do, Synho
    Maurovich-Horvat, Pal
    Hoffmann, Udo
    EUROPEAN JOURNAL OF RADIOLOGY, 2012, 81 (03) : E363 - E369
  • [48] Observer performance for adaptive, image-based denoising and filtered back projection compared to scanner-based iterative reconstruction for lower dose CT enterography
    Fletcher, Joel G.
    Hara, Amy K.
    Fidler, Jeff L.
    Silva, Alvin C.
    Barlow, John M.
    Carter, Rickey E.
    Bartley, Adam
    Shiung, Maria
    Holmes, David R., III
    Weber, Nicolas K.
    Bruining, David H.
    Yu, Lifeng
    McCollough, Cynthia H.
    ABDOMINAL IMAGING, 2015, 40 (05): : 1050 - 1059
  • [49] Comparison of iterative model, hybrid iterative, and filtered back projection reconstruction techniques in low-dose brain CT: impact of thin-slice imaging
    Nakaura, Takeshi
    Iyama, Yuji
    Kidoh, Masafumi
    Yokoyama, Koichi
    Oda, Seitaro
    Tokuyasu, Shinichi
    Harada, Kazunori
    Yamashita, Yasuyuki
    NEURORADIOLOGY, 2016, 58 (03) : 245 - 251
  • [50] Evaluation of Adaptive Statistical Iterative Reconstruction-V Reconstruction Algorithm vs Filtered Back Projection in the Detection of Hypodense Liver Lesions: Reader Performance and Preferences
    Dimmitt, Amanda M.
    Pelz, Jessica A.
    Albertson, Megan E.
    Samson, Kaeli K.
    Muinov, Lyudmila M.
    Oliveto, Jennifer M.
    Hansen, Neil J.
    JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY, 2019, 43 (02) : 200 - 205