Author/Authors :
Kidoh, Masafumi Department of Diagnostic Radiology - Faculty of Life Sciences - Kumamoto University, Japan , Utsunomiya, Daisuke Department of Diagnostic Radiology - Faculty of Life Sciences - Kumamoto University, Japan , Oda, Seitaro Department of Diagnostic Radiology - Faculty of Life Sciences - Kumamoto University, Japan , Nakaura, Takeshi Department of Diagnostic Radiology - Faculty of Life Sciences - Kumamoto University, Japan , Funama, Yoshinori Department of Medical Physics - Faculty of Life Sciences - Kumamoto University, Japan , Yuki, Hideaki Department of Diagnostic Radiology - Faculty of Life Sciences - Kumamoto University, Japan , Hirata, Kenichiro Department of Diagnostic Radiology - Faculty of Life Sciences - Kumamoto University, Japan , Hatemura, Masahiro Department of Diagnostic Radiology - Faculty of Life Sciences - Kumamoto University, Japan , Namimoto, Tomohiro Department of Diagnostic Radiology - Faculty of Life Sciences - Kumamoto University, Japan , Yamashita, Yasuyuki Department of Diagnostic Radiology - Faculty of Life Sciences - Kumamoto University, Japan
Abstract :
Background
An optimal metal artifact reduction (MAR) technique is needed for a reliable and accurate image-based diagnosis.
Purpose
Using a 320-row scanner, we compared the dual-energy computed tomography (CT)-based monochromatic and the single-energy metal artifact reduction (SEMAR) techniques for CT venography (CTV) to identify the better imaging method for diagnosing deep vein thrombosis (DVT) in patients who had undergone knee replacement surgery.
Material and Methods
Twenty-three consecutive patients with suspected DVT after unilateral knee replacement surgery underwent dual-energy CT (135/80 kVp). Monochromatic images of 35–135 keV were generated; the monochromatic image with the best signal-to-noise ratio (SNR) of the popliteal vein near the metal prosthesis were selected. The projection data of 80 kVp were reconstructed using MAR algorithm. The mean SNR ON MAR and the best SNR ON monochromatic images were compared. Two radiologists evaluated visualization of the metal artifacts on a four-point scale where 1 = extensive artifacts, 2 = strong artifacts, 3 = mild artifacts, and 4 = minimal artifacts.
Results
The mean SNR was significantly higher on the MAR than the monochromatic images (12.8 ± 4.7 versus 7.7 ± 5.1, P < 0.01) and the visual scores were significantly higher for MAR than monochromatic images (2.6 ± 0.8 versus 1.3 ± 0.4, P < 0.01).
Conclusion
For CTV after knee replacement surgery, the MAR technique is superior to the monochromatic imaging technique
Keywords :
Computed tomography (CT) , CT venography , dual-energy CT , metal artifact reduction algorithm , single-energy metal artifact reduction algorithm