TY - JOUR
AU - Choi, Byung Ihn
AB - ORIGINAL ARTICLE Assessment of a Model-Based, Iterative Reconstruction Algorithm (MBIR) Regarding Image Quality and Dose Reduction in Liver Computed Tomography Won Chang, MD, Jeong Min Lee, MD, PhD, Kyunghee Lee, MD, Jeong Hee Yoon, MD, Mi Hye Yu, MD, Joon Koo Han, MD, PhD, and Byung Ihn Choi, MD, PhD tomography is widely accepted as the primary modality for the staging Objectives: The purpose of this study was to assess the image quality of half- of primary and secondary liver malignancies rather than MR because of dose (HD) liver computed tomography (CT) using a model-based iterative its wide acceptability, relatively good diagnostic performance, and re- reconstruction algorithm (MBIR) compared with reference dose (RD) using 1Y3 producible image quality. In particular, multidetector row CT filtered back projection (FBP) and the HD CT images using FBP and adaptive (MDCT) is also frequently used to evaluate the therapeutic effect of statistical iterative reconstruction (ASIR). 1,4 systemic treatment of liver metastases. However, as the number of Materials and Methods: A total of 103 patients suspected of having liver CT scans rapidly increases worldwide, there are rising concerns over metastases underwent liver CT including HD portal venous phase imaging. the increasing lifetime risk of 
TI - Assessment of a Model-Based, Iterative Reconstruction Algorithm (MBIR) Regarding Image Quality and Dose Reduction in Liver Computed Tomography
JF - Investigative Radiology
DO - 10.1097/RLI.0b013e3182899104
DA - 2013-08-01
UR - https://www.deepdyve.com/lp/wolters-kluwer-health/assessment-of-a-model-based-iterative-reconstruction-algorithm-mbir-4IIx10GsM9
SP - 598–606-598&ndash
EP - ndash;606-598–606
VL - 48
IS - 8
DP - DeepDyve
ER -