Liver detection algorithm: its efficacy for CT noise reduction in the liver

Ashwini Devapalasundaram, Kenneth K. Lau, Eldho Paul, Larry Mak, Nicholas Ardley, Kevin Buchan, Ahilan Kuganesan

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Objectives: This study was performed to evaluate the efficacy of a novel computed tomography (CT) liver detection algorithm (LDA), which allows for targeted increase of radiation dose to the upper abdomen, on image quality of the liver. Methods: We retrospectively evaluated the LDA by comparing 40 consecutive patients who had portal venous CT abdomen performed without use of the algorithm, to 40 patients in whom the algorithm was used. Image quality was assessed objectively by comparing the standard deviation (SD) of attenuation values in Hounsfield units (HU) of the abdominal organs. Qualitative analysis was performed by two blinded radiologists who independently graded the image quality of abdominal organs Results: There was significant noise reduction in the liver (P < 0.001) and spleen (P < 0.001) in the LDA group compared to the conventional group. There was also a significant improvement in image quality of the liver (P < 0.001), kidney (P < 0.001), spleen (P < 0.001), pancreas (P < 0.001), and psoas (P = 0.005) in the LDA group compared to the conventional group. Overall dose between the two groups was similar. Conclusions: This liver detection algorithm improves the subjective image quality of upper abdominal organs, in particular the liver, without increasing overall radiation dose.

Original languageEnglish
Pages (from-to)493-499
Number of pages7
JournalAbdominal Radiology
Issue number3
Publication statusPublished - 1 Mar 2016


  • Algorithm
  • Dosage
  • Image quality
  • Liver
  • Multidetector computed tomography

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