Diameter measurement of vascular model on CT angiography using model-based iterative reconstruction: Effect of tube current on accuracy

American Journal of Roentgenology

Volumn 202, Issue 2, 2014, Pages 437-442

  Suzuki, Shigeru ^a,b   Machida, Haruhiko ^b   Tanaka, Isao ^b   Fukui, Rika ^b   Ueno, Eiko ^b  

^a SAITAMA RED CROSS HOSPITAL   (Japan)

^b TOKYO WOMEN'S MEDICAL UNIVERSITY   (Japan)

Author keywords

CT angiography (CTA); Diameter measurement; Experimental studies; Iterative reconstruction

Indexed keywords

ALGORITHM; ARTICLE; BLOOD VESSEL DIAMETER; BLOOD VESSEL WALL; COMPUTED TOMOGRAPHIC ANGIOGRAPHY; COMPUTED TOMOGRAPHY SCANNER; FILTERED BACK PROJECTION; IMAGE DISPLAY; IMAGE SHARPNESS; INTERMETHOD COMPARISON; MEASUREMENT ACCURACY; MEASUREMENT ERROR; MODEL BASED ITERATIVE RECONSTRUCTION; PHANTOM; PRIORITY JOURNAL; RADIOLOGICAL PARAMETERS; TUBE CURRENT;

ANGIOGRAPHY; CONTRAST MEDIA; HUMANS; PHANTOMS, IMAGING; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; TOMOGRAPHY, X-RAY COMPUTED;

EID: 84892714397     PISSN: 0361803X     EISSN: 15463141     Source Type: Journal    
DOI: 10.2214/AJR.13.11039     Document Type: Article

References (18)

1. Thibault JB, Sauer KD, Bouman CA, Hsieh J. A three-dimensional statistical approach to improved image quality for multislice helical CT. Med Phys 2007; 34:4526-4544
2. Yu Z, Thibault JB, Bouman CA, Sauer KD, Hsieh J. Fast model-based X-ray CT reconstruction using spatially nonhomogeneous ICD optimization. IEEE Trans Image Process 2011; 20:161-175
3. Deák Z, Grimm JM, Treitl M, et al. Filtered back projection, adaptive statistical iterative reconstruction, and a model-based iterative reconstruction in abdominal CT: an experimental clinical study. Radiology 2013; 266:197-206
4. Katsura M, Sato J, Akahane M, et al. Comparison of pure and hybrid iterative reconstruction techniques with conventional filtered back projection: image quality assessment in the cervicothoracic region. Eur J Radiol 2013; 82:356-360
5. Machida H, Tanaka I, Fukui R, et al. Improved delineation of the anterior spinal artery with modelbased iterative reconstruction in CT angiography: a clinical pilot study. AJR 2013; 200:442-446
6. Vardhanabhuti V, Loader RJ, Mitchell GR, Riordan RD, Roobottom CA. Image quality assessment of standard- and low-dose chest CT using filtered back projection, adaptive statistical iterative reconstruction, and novel model-based iterative reconstruction algorithms. AJR 2013; 200:545-552
7. Suzuki S, Machida H, Tanaka I, Ueno E. Vascular diameter measurement in CT angiography: comparison of model-based iterative reconstruction and standard filtered back projection algorithms in vitro. AJR 2013; 200:652-657
8. Chen MY, Steigner ML, Leung SW, et al. Simulated 50% radiation dose reduction in coronary CT angiography using adaptive iterative dose reduction in three-dimensions (AIDR3D). Int J Cardiovasc Imaging 2013; 29:1167-1175
9. Smith SW. Spatial resolution. In: Smith SW. Digital signal processing: a practical guide for engineers and scientists. Oxford, UK: Newnes Elsevier Science, 2003:423-450
10. Kino GS, Corle TR. Edge and line response. In: Kino GS, Corle TR. Confocal scanning optical microscopy and related imaging systems. San Diego, CA: Academic Press, 1996:180-183
11. Suzuki S, Machida H, Tanaka I, Ueno E. Measurement of vascular wall attenuation: comparison of CT angiography using model-based iterative reconstruction with standard filtered back-projection algorithm CT in vitro. Eur J Radiol 2012; 81:3348-3353
12. Katsura M, Matsuda I, Akahane M, et al. Modelbased iterative reconstruction technique for radiation dose reduction in chest CT: comparison with the adaptive statistical iterative reconstruction technique. Eur Radiol 2012; 22:1613-1623
13. Katsura M, Matsuda I, Akahane M, et al. Model-based iterative reconstruction technique for ul-tralow-dose chest CT: comparison of pulmonary nodule detectability with the adaptive statistical iterative reconstruction technique. Invest Radiol 2013; 48:206-212
14. Richard S, Husarik DB, Yadava G, Murphy SN, Samei E. Towards task-based assessment of CT performance: system and object MTF across different reconstruction algorithms. Med Phys 2012; 39:4115-4122
15. Noël PB, Fingerle AA, Renger B, Münzel D, Rummeny EJ, Dobritz M. Initial performance characterization of a clinical noise-suppressing reconstruction algorithm for MDCT. AJR 2011; 197:1404-1409
16. Moscariello A, Takx RA, Schoepf UJ, et al. Coronary CT angiography: image quality, diagnostic accuracy, and potential for radiation dose reduction using a novel iterative image reconstruction technique - comparison with traditional filtered back projection. Eur Radiol 2011; 21:2130-2138
17. Gervaise A, Osemont B, Lecocq S, et al. CT image quality improvement using adaptive iterative dose reduction with wide-volume acquisition on 320-detector CT. Eur Radiol 2012; 22:295-301
18. Gratama van Andel HA, Venema HW, Bol K, et al. Model-based measurements of the diameter of the internal carotid artery in CT angiography images. Med Phys 2010; 37:5711-5727