Radiation dose reduction in hepatic multidetector computed tomography with a novel adaptive noise reduction filter

PurposeThe aim of this study was to optimize a novel adaptive noise reduction filter based on patient body weight and to investigate its utility for improving the image quality of low-dose hepatic computed tomography (CT) scans.Materials and methodsThe tube current-time product was changed from 140 to 180 and from 60 to 100 mAs at standard-and low-dose CT, respectively, based on the body weights of 45 patients. Unenhanced and two-phase contrast-enhanced helical scans were obtained at the standard dose during the hepatic arterial and equilibrium phases. During the equilibrium phase, we obtained low-dose scans of the liver immediately after standard-dose scans. The low-dose CT images were postprocessed with the filter. Two radiologists visually evaluated artifacts in the liver parenchyma and its graininess, the sharpness of the liver contour, tumor conspicuity, homogeneity of the enhancement of the portal vein, and overall image quality.ResultsThere was no statistically significant difference between standard and filtered low-dose images with respect to artifacts in the liver, the graininess of the liver parenchyma, tumor conspicuity, homogeneity of enhancement of the portal vein, or overall image quality.ConclusionThe adaptive noise reduction filter effectively reduced image noise. We confirmed the effectiveness of the filter by examining clinical hepatic images obtained at low-dose CT.

[1]  V. Tsapaki,et al.  Application of European Commission reference dose levels in CT examinations in Crete, Greece. , 2001, The British journal of radiology.

[2]  Kazuo Awai,et al.  Improvement of Low-Contrast Detectability in Low-Dose Hepatic Multidetector Computed Tomography Using a Novel Adaptive Filter: Evaluation With a Computer-Simulated Liver Including Tumors , 2006, Investigative radiology.

[3]  H. El‐Serag Hepatocellular carcinoma: an epidemiologic view. , 2002, Journal of clinical gastroenterology.

[4]  W Huda,et al.  Radiation effective doses to patients undergoing abdominal CT examinations. , 1999, Radiology.

[5]  Thomas L Toth,et al.  Low-dose CT of the abdomen: evaluation of image improvement with use of noise reduction filters pilot study. , 2003, Radiology.

[6]  Carl-Fredrik Westin,et al.  Affine adaptive filtering of CT data , 2000, Medical Image Anal..

[7]  T. Mulkens,et al.  Use of an automatic exposure control mechanism for dose optimization in multi-detector row CT examinations: clinical evaluation. , 2005, Radiology.

[8]  Michael F McNitt-Gray,et al.  AAPM/RSNA Physics Tutorial for Residents: Topics in CT. Radiation dose in CT. , 2002, Radiographics : a review publication of the Radiological Society of North America, Inc.

[9]  Thomas Flohr,et al.  Metallic prosthesis: technique to avoid increase in CT radiation dose with automatic tube current modulation in a phantom and patients. , 2005, Radiology.

[10]  Takamichi Murakami,et al.  Small hypervascular hepatocellular carcinoma revealed by double arterial phase CT performed with single breath-hold scanning and automatic bolus tracking. , 2002, AJR. American journal of roentgenology.

[11]  K. Yanaga Current status of hepatic resection for hepatocellular carcinoma , 2004, Journal of Gastroenterology.

[12]  M Takahashi,et al.  Small hepatocellular carcinoma in patients with chronic liver damage: prospective comparison of detection with dynamic MR imaging and helical CT of the whole liver. , 1996, Radiology.

[13]  T. Murakami,et al.  Hypervascular hepatocellular carcinoma: detection with double arterial phase multi-detector row helical CT. , 2001, Radiology.

[14]  L. Sobin,et al.  Duodenal carcinoids: imaging features with clinical-pathologic comparison. , 2005, Radiology.

[15]  R. Gagne,et al.  A METHOD FOR DESCRIBING THE DOSES DELIVERED BY TRANSMISSION X‐RAY COMPUTED TOMOGRAPHY , 1981, Medical physics.

[16]  Marc Kachelrieß,et al.  Improvement of image quality of multislice spiral CT scans of the head and neck region using a raw data-based multidimensional adaptive filtering (MAF) technique , 2004, European Radiology.

[17]  M. Kalra,et al.  Techniques and applications of automatic tube current modulation for CT. , 2004, Radiology.

[18]  M D Harpen A computer simulation of wavelet noise reduction in computed tomography. , 1999, Medical physics.

[19]  D. Choi,et al.  Hepatocellular carcinoma treated with percutaneous radio-frequency ablation: evaluation with follow-up multiphase helical CT. , 2001, Radiology.

[20]  Takeshi Nakaura,et al.  Hypervascular hepatocellular carcinomas: bolus tracking with a 40-detector CT scanner to time arterial phase imaging. , 2007, Radiology.

[21]  James H Thrall,et al.  Clinical comparison of standard-dose and 50% reduced-dose abdominal CT: effect on image quality. , 2002, AJR. American journal of roentgenology.

[22]  Y. Yamashita,et al.  A computer-simulated liver phantom (virtual liver phantom) for multidetector computed tomography evaluation , 2006, European Radiology.

[23]  T. Slovis,et al.  The ALARA concept in pediatric CT: myth or reality? , 2002, Radiology.