Effect of Radiation Dose Reduction and Reconstruction Algorithm on Image Noise, Contrast, Resolution, and Detectability of Subtle Hypoattenuating Liver Lesions at Multidetector CT: Filtered Back Projection versus a Commercial Model-based Iterative Reconstruction Algorithm

被引:93
作者
Solomon, Justin [1 ]
Marin, Daniele [1 ]
Choudhury, Kingshuk Roy [1 ]
Patel, Bhavik [1 ]
Samei, Ehsan [1 ]
机构
[1] Duke Univ, Med Ctr, Dept Radiol, Carl E Ravin Adv Imaging Labs, 2424 Erwin Rd,Suite 302, Durham, NC 27705 USA
关键词
CONE-BEAM CT; COMPUTED-TOMOGRAPHY; OBSERVER PERFORMANCE; SPIRAL CT; QUALITY; PHANTOM; SAFIRE; LUNG; ENTEROGRAPHY; ANGIOGRAPHY;
D O I
10.1148/radiol.2017161736
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 determine the effect of radiation dose and iterative reconstruction (IR) on noise, contrast, resolution, and observer-based detectability of subtle hypoattenuating liver lesions and to estimate the dose reduction potential of the IR algorithm in question. Materials and Methods: This prospective, single-center, HIPAA-compliant study was approved by the institutional review board. A dual-source computed tomography (CT) system was used to reconstruct CT projection data from 21 patients into six radiation dose levels (12.5%, 25%, 37.5%, 50%, 75%, and 100%) on the basis of two CT acquisitions. A series of virtual liver lesions (five per patient, 105 total, lesion-to-liver prereconstruction contrast of -15 HU, 12-mm diameter) were inserted into the raw CT projection data and images were reconstructed with filtered back projection (FBP) (B31f kernel) and sinogram-affirmed IR (SAFIRE) (I31f-5 kernel). Image noise (pixel standard deviation), lesion contrast (after reconstruction), lesion boundary sharpness (average normalized gradient at lesion boundary), and contrast-to-noise ratio (CNR) were compared. Next, a two-alternative forced choice perception experiment was performed (16 readers [six radiologists, 10 medical physicists]). A linear mixed-effects statistical model was used to compare detection accuracy between FBP and SAFIRE and to estimate the radiation dose reduction potential of SAFIRE. Results: Compared with FBP, SAFIRE reduced noise by a mean of 53% +/- 5, lesion contrast by 12% +/- 4, and lesion sharpness by 13% +/- 10 but increased CNR by 89% +/- 19. Detection accuracy was 2% higher on average with SAFIRE than with FBP (P = .03), which translated into an estimated radiation dose reduction potential (+/- 95% confidence interval) of 16% +/- 13. Conclusion: SAFIRE increases detectability at a given radiation dose (approximately 2% increase in detection accuracy) and allows for imaging at reduced radiation dose (16% +/- 13), while maintaining low-contrast detectability of subtle hypoattenuating focal liver lesions. This estimated dose reduction is somewhat smaller than that suggested by past studies. (C) RSNA, 2017
引用
收藏
页码:777 / 787
页数:11
相关论文
共 44 条
[1]  
AAPM Task Group 204, 2011, 204 AAPM TASK GROUP
[2]   Contrast-to-Noise Ratio and Low-Contrast Object Resolution on Full- and Low-Dose MDCT: SAFIRE Versus Filtered Back Projection in a Low-Contrast Object Phantom and in the Liver [J].
Baker, Mark E. ;
Dong, Frank ;
Primak, Andrew ;
Obuchowski, Nancy A. ;
Einstein, David ;
Gandhi, Namita ;
Herts, Brian R. ;
Purysko, Andrei ;
Remer, Erick ;
Vachani, Neil .
AMERICAN JOURNAL OF ROENTGENOLOGY, 2012, 199 (01) :8-18
[3]   Influence of Sinogram-Affirmed Iterative Reconstruction on Computed Tomography-Based Lung Volumetry and Quantification of Pulmonary Emphysema [J].
Baumueller, Stephan ;
Hilty, Regina ;
Thi Dan Linh Nguyen ;
Weder, Walter ;
Alkadhi, Hatem ;
Frauenfelder, Thomas .
JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY, 2016, 40 (01) :96-101
[4]   Iterative reconstruction methods in X-ray CT [J].
Beister, Marcel ;
Kolditz, Daniel ;
Kalender, Willi A. .
PHYSICA MEDICA-EUROPEAN JOURNAL OF MEDICAL PHYSICS, 2012, 28 (02) :94-108
[5]   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
[6]   Lesion insertion in the projection domain: Methods and initial results [J].
Chen, Baiyu ;
Leng, Shuai ;
Yu, Lifeng ;
Yu, Zhicong ;
Ma, Chi ;
McCollough, Cynthia .
MEDICAL PHYSICS, 2015, 42 (12) :7034-7042
[7]   Evaluating iterative reconstruction performance in computed tomography [J].
Chen, Baiyu ;
Giraldo, Juan Carlos Ramirez ;
Solomon, Justin ;
Samei, Ehsan .
MEDICAL PHYSICS, 2014, 41 (12)
[8]   Correlation of clinical and physical-technical image quality in chest CT: a human cadaver study applied on iterative reconstruction [J].
De Crop, An ;
Smeets, Peter ;
Van Hoof, Tom ;
Vergauwen, Merel ;
Dewaele, Tom ;
Van Borsel, Mathias ;
Achten, Eric ;
Verstraete, Koenraad ;
D'Herde, Katharina ;
Thierens, Hubert ;
Bacher, Klaus .
BMC MEDICAL IMAGING, 2015, 15
[9]   A Novel Pairwise Comparison-Based Method to Determine Radiation Dose Reduction Potentials of Iterative Reconstruction Algorithms, Exemplified Through Circle of Willis Computed Tomography Angiography [J].
Ellmann, Stephan ;
Kammerer, Ferdinand ;
Brand, Michael ;
Allmendinger, Thomas ;
May, Matthias S. ;
Uder, Michael ;
Lell, Michael M. ;
Kramer, Manuel .
INVESTIGATIVE RADIOLOGY, 2016, 51 (05) :331-339
[10]   Observer Performance in the Detection and Classification of Malignant Hepatic Nodules and Masses with CT Image-Space Denoising and Iterative Reconstruction [J].
Fletcher, Joel G. ;
Yu, Lifeng ;
Li, Zhoubo ;
Manduca, Armando ;
Blezek, Daniel J. ;
Hough, David M. ;
Venkatesh, Sudhakar K. ;
Brickner, Gregory C. ;
Cernigliaro, Joseph C. ;
Hara, Amy K. ;
Fidler, Jeff L. ;
Lake, David S. ;
Shiung, Maria ;
Lewis, David ;
Leng, Shuai ;
Augustine, Kurt E. ;
Carter, Rickey E. ;
Holmes, David R., III ;
McCollough, Cynthia H. .
RADIOLOGY, 2015, 276 (02) :465-478