Comparative performance analysis for abdominal phantom ROI detectability according to CT reconstruction algorithm: ADMIRE

被引:3
作者
Shin, Jun-Bong [1 ,2 ]
Yoon, Do-Kun [1 ,2 ]
Pak, Seongyong [3 ]
Kwon, Yang-Ho [3 ]
Suh, Tae Suk [1 ,2 ]
机构
[1] Catholic Univ Korea, Dept Biomed Engn, Coll Med, Seoul, South Korea
[2] Catholic Univ Korea, Coll Med, Res Inst Biomed Engn, Seoul, South Korea
[3] Siemens Healthineers Ltd, Seoul, South Korea
来源
JOURNAL OF APPLIED CLINICAL MEDICAL PHYSICS | 2020年 / 21卷 / 01期
关键词
abdomen phantom; ADMIRE; FBP; MDCT; SAFIRE; MODELED ITERATIVE RECONSTRUCTION; LOW-CONTRAST DETECTABILITY; RADIATION-DOSE REDUCTION; COMPUTED-TOMOGRAPHY;
D O I
10.1002/acm2.12765
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 We compared and analyzed the detectability performance pertaining to an abdominal phantom including a region of interest (ROI) according to a computed tomography (CT) reconstruction algorithm. Methods Three types of reconstruction algorithms (FBP, SAFIRE, and ADMIRE) were used to evaluate the detectability performance using the abdominal phantom (phantom size: 25 x 18 x 28 cm(3)). The vendor default settings for routine multi-detector computed tomography abdominal scans were used. As the quantitative evaluation method, the contrast-to-noise ratio (CNR), difference in coefficient of variation (COV) with the normalization based on the FBP data, and the noise power spectrum (NPS) were measured. Results The characteristic of the ADMIRE-3 reconstructed image was higher than those of the FBP and SAFIRE-3 reconstructed images. The CNR values of the SAFIRE and ADMIRE images were much higher than the corresponding values of the FBP images. The difference in COV values for the ADMIRE images was similar to 1.2 times lower than the corresponding values of the SAFIRE images. Conclusion The comparative analysis of the abdominal phantom low-contrast resolution differences for each CT exposure parameters showed that ADMIRE demonstrated better results than SAFIRE and FBP in terms of contrast, CNR, COV difference, and 1D NPS. This indicates that ADMIRE can provide a clearer observation even with the same number of contrast objects as compared to SAFIRE and FBP owing to its better contrast resolution in the central part of the contrast hole at low kV.
引用
收藏
页码:136 / 143
页数:8
相关论文
共 50 条
  • [41] Patient-based Performance Assessment for Pediatric Abdominal CT: An Automated Monitoring System Based on Lesion Detectability and Radiation Dose
    Lacy, Tyler
    Ding, Aiping
    Minkemeyer, Vivian
    Frush, Donald
    Samei, Ehsan
    [J]. ACADEMIC RADIOLOGY, 2021, 28 (02) : 217 - 224
  • [42] CT-Based Biomarkers to Characterize Lung Lesion: Effects of CT Dose, Slice Thickness and Reconstruction Algorithm Based Upon a Phantom Study
    Zhao, B.
    Tan, Y.
    Tsai, W.
    Lu, L.
    Schwartz, L.
    Lu, Z.
    So, J.
    Goldman, J.
    [J]. MEDICAL PHYSICS, 2014, 41 (06) : 451 - 451
  • [43] Performance of a SPECT collimator-detector response reconstruction algorithm: phantom studies and validation in inflammation clinical studies
    Arosio, M.
    Pasquali, C.
    Crivellaro, C.
    De Ponti, E.
    Morzenti, S.
    Guerra, L.
    Crespi, A.
    Messa, C.
    [J]. QUARTERLY JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2011, 55 (06) : 671 - 679
  • [44] UNet and MobileNet CNN-based model observers for CT protocol optimization: comparative performance evaluation by means of phantom CT images
    Valeri, Federico
    Bartolucci, Maurizio
    Cantoni, Elena
    Carpi, Roberto
    Cisbani, Evaristo
    Cupparo, Ilaria
    Doria, Sandra
    Gori, Cesare
    Grigioni, Mauro
    Lasagni, Lorenzo
    Marconi, Alessandro
    Mazzoni, Lorenzo Nicola
    Miele, Vittorio
    Pradella, Silvia
    Risaliti, Guido
    Sanguineti, Valentina
    Sona, Diego
    Vannucchi, Letizia
    Taddeucci, Adriana
    [J]. JOURNAL OF MEDICAL IMAGING, 2023, 10
  • [45] Abdominal CT scan: A comparative study of patient exposure in clinical routine on devices with and without iterative reconstruction.
    Gomes, M.
    Leroy, C.
    Lemaire, S.
    Marmin, C.
    Mordon, S.
    Ernst, O.
    [J]. RADIOPROTECTION, 2014, 49 (01) : 35 - 41
  • [46] A comparative analysis of image harmonization techniques in mitigating differences in CT acquisition and reconstruction
    Yadav, Anil
    Welland, Spencer
    Hoffman, John M.
    Kim, Grace
    Brown, Matthew S.
    Prosper, Ashley E.
    Aberle, Denise R.
    McNitt-Gray, Michael F.
    Hsu, William
    [J]. PHYSICS IN MEDICINE AND BIOLOGY, 2025, 70 (05)
  • [47] A feasibility study of realizing low-dose abdominal CT using deep learning image reconstruction algorithm
    Li, Lu-Lu
    Wang, Huang
    Song, Jian
    Shang, Jin
    Zhao, Xiao-Ying
    Liu, Bin
    [J]. JOURNAL OF X-RAY SCIENCE AND TECHNOLOGY, 2021, 29 (02) : 361 - 372
  • [48] Preserving image texture while reducing radiation dose with a deep learning image reconstruction algorithm in chest CT: A phantom study
    Franck, Caro
    Zhang, Guozhi
    Deak, Paul
    Zanca, Federica
    [J]. PHYSICA MEDICA-EUROPEAN JOURNAL OF MEDICAL PHYSICS, 2021, 81 : 86 - 93
  • [49] Iterative image reconstruction algorithm analysis for optical CT radiochromic gel dosimetry
    Collins, Steve
    Ogilvy, Andy
    Hare, Warren
    Hilts, Michelle
    Jirasek, Andrew
    [J]. BIOMEDICAL PHYSICS & ENGINEERING EXPRESS, 2024, 10 (03)
  • [50] A Deep Learning Image Reconstruction Algorithm for Improving Image Quality and Hepatic Lesion Detectability in Abdominal Dual-Energy Computed Tomography: Preliminary Results
    Bingqian Chu
    Lu Gan
    Yi Shen
    Jian Song
    Ling Liu
    Jianying Li
    Bin Liu
    [J]. Journal of Digital Imaging, 2023, 36 : 2347 - 2355