Yoshinori Funama1, Katsuyuki Taguchi2, Daisuke Utsunomiya3, Seitaro Oda3, Kazuhiro Katahira4, Shinichi Tokuyasu5, Yasuyuki Yamashita3. 1. Department of Medical Physics, Faculty of Life Sciences, Kumamoto University, 4-24-1 Kuhonji, Kumamoto 862-0976, Japan. Electronic address: funama@kumamoto-u.ac.jp. 2. The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, USA. 3. Department of Diagnostic Radiology, Faculty of Life Sciences, Kumamoto University, Japan. 4. Department of Diagnostic Radiology, Kumamoto Chuo Hospital, Japan. 5. CT Clinical Science, Philips Electronics Japan, Japan.
Abstract
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 IMR than 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.
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 IMR than 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.
Authors: Brendan L Eck; Rachid Fahmi; Christopher Fuqua; Mani Vembar; Amar Dhanantwari; Hiram G Bezerra; David L Wilson Journal: Proc SPIE Int Soc Opt Eng Date: 2015-03-19
Authors: R H H Wellenberg; M F Boomsma; J A C van Osch; A Vlassenbroek; J Milles; M A Edens; G J Streekstra; C H Slump; M Maas Journal: Skeletal Radiol Date: 2017-02-15 Impact factor: 2.199