TY - JOUR
T1 - Image quality assessment of an iterative reconstruction algorithm applied to abdominal CT imaging
AU - Funama, Yoshinori
AU - Taguchi, Katsuyuki
AU - Utsunomiya, Daisuke
AU - Oda, Seitaro
AU - Katahira, Kazuhiro
AU - Tokuyasu, Shinichi
AU - Yamashita, Yasuyuki
N1 - Funding Information:
We are grateful to Jeffrey H. Siewerdsen, Johns Hopkins University for advices on technical aspects of this study. K.T. was supported in part by the National Institutes of Health (Grant R01 HL087918).
PY - 2014/6
Y1 - 2014/6
N2 - Purpose: To compare the noise and accuracy on images of the whole porcine liver acquired with iterative reconstruction(IMR, Philips Healthcare, Cleveland, OH, USA) and filtered back projection (FBP) methods. Materials and methods: We used non-enhanced porcine liver to simulate the human liver and acquired it 100 times to obtain the average FBP value as the ground-truth. The mean and the standard deviation ("inter-scan SD") of the pixel values on the 100 image acquisitions were calculated for FBP and for three levels of IMR (L1, L2, and L3). We also calculated the noise power spectrum (NPS) and the normalized NPS for the 100 image acquisitions. Results: The spatial SD for the porcine liver parenchyma on these slices was 9.92, 4.37, 3.63, and 2.30 Hounsfield units with FBP, IMR-L1, IMR-L2, and IMR-L3, respectively. The detectability of small faint features was better on single IMRthan single FBP images. The inter-scan SD value for IMR-L3 images was 53% larger at the liver edges than at the liver parenchyma; it was only 10% larger on FBP images. Assessment of the normalized NPS showed that the noise on IMR images was comprised primarily of low-frequency components. Conclusion: IMR images yield the same structure informations as FBP images and image accuracy is maintained. On level 3 IMR images the image noise is more strongly suppressed than on IMR images of the other levels and on FBP images.
AB - Purpose: To compare the noise and accuracy on images of the whole porcine liver acquired with iterative reconstruction(IMR, Philips Healthcare, Cleveland, OH, USA) and filtered back projection (FBP) methods. Materials and methods: We used non-enhanced porcine liver to simulate the human liver and acquired it 100 times to obtain the average FBP value as the ground-truth. The mean and the standard deviation ("inter-scan SD") of the pixel values on the 100 image acquisitions were calculated for FBP and for three levels of IMR (L1, L2, and L3). We also calculated the noise power spectrum (NPS) and the normalized NPS for the 100 image acquisitions. Results: The spatial SD for the porcine liver parenchyma on these slices was 9.92, 4.37, 3.63, and 2.30 Hounsfield units with FBP, IMR-L1, IMR-L2, and IMR-L3, respectively. The detectability of small faint features was better on single IMRthan single FBP images. The inter-scan SD value for IMR-L3 images was 53% larger at the liver edges than at the liver parenchyma; it was only 10% larger on FBP images. Assessment of the normalized NPS showed that the noise on IMR images was comprised primarily of low-frequency components. Conclusion: IMR images yield the same structure informations as FBP images and image accuracy is maintained. On level 3 IMR images the image noise is more strongly suppressed than on IMR images of the other levels and on FBP images.
KW - Abdominal CT
KW - Filtered back projection
KW - Image quality
KW - Iterative reconstruction
KW - Porcine liver
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U2 - 10.1016/j.ejmp.2014.02.005
DO - 10.1016/j.ejmp.2014.02.005
M3 - Article
C2 - 24662097
AN - SCOPUS:84899489833
SN - 1120-1797
VL - 30
SP - 527
EP - 534
JO - Physica Medica
JF - Physica Medica
IS - 4
ER -