3-dimensional adaptive raw-data filter: evaluation in low dose chest multidetector-row computed tomography.
OBJECTIVE
To evaluate a 3-dimensional adaptive raw-data filter in reducing streak artifacts in low dose chest computed tomographic (CT) images.


METHODS
Fourteen adult patients who underwent low dose chest CT examination (parameters: 25 or 50 mAs, 120 kV) on 64-detector CTscanner were included in this study. We prepared 2 sets of contiguous 5-mm thick images by reconstruction with and without 3-dimensional adaptive raw-data filter (filter-processed and unprocessed images). Streak artifacts and visualization of peripheral vessels in both filter-processed and unprocessed images were evaluated using a 5-point scale. Upper, middle, and lower thorax were evaluated separately.


RESULTS
The difference in artifact severity was statistically significant in upper and lower thorax (P = 0.002 and 0.03, respectively), whereas it was not significant in middle thorax (P = 0.13). The difference in the visibility of peripheral pulmonary vessels was not statistically significant in all anatomical regions.


CONCLUSIONS
The 3-dimensional adaptive raw-data filter reduced streak artifacts in low dose chest CT in upper and lower thorax.
Kubo
Takeshi
T
Department of Radiology, Beth Israel Deaconess Medical Center, Boston, MA 02215, USA. tkubo@bidmc.harvard.edu
Nishino
Mizuki
M
Kino
Aya
A
Yoshimura
Norihiko
N
Lin
Pei-Jan Paul
PJ
Takahashi
Masaya
M
Raptopoulos
Vassilios
V
Hatabu
Hiroto
H
D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D016477:Artifacts; D005260:Female; D006801:Humans; D021621:Imaging, Three-Dimensional; D008297:Male; D008875:Middle Aged; D011829:Radiation Dosage; D013902:Radiography, Thoracic / Q000379:methods*; D014057:Tomography, X-Ray Computed / Q000379:methods*