Low‐dose CT for the detection and classification of metastatic liver lesions: Results of the 2016 Low Dose CT Grand Challenge
Medical Physics2017Vol. 44(10), pp. e339–e352
Citations Over TimeTop 10% of 2017 papers
Cynthia H. McCollough, Adam C. Bartley, Rickey E. Carter, Baiyu Chen, Tammy A. Drees, Phillip K Edwards, David R. Holmes, Alice E. Huang, Farhana Khan, Shuai Leng, Kyle McMillan, Gregory J. Michalak, Kristina M. Nunez, Lifeng Yu, Joel G. Fletcher
Abstract
Infrastructure and methodology were developed to rapidly estimate observer performance for liver metastasis detection in low-dose CT examinations of the liver after either image-based denoising or iterative reconstruction. The results demonstrated large differences in detection and classification performance between noise reduction methods, although the majority of methods provided some improvement in performance relative to the commercial quarter-dose images with no noise reduction applied.
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