Thord Andersson1,2, Thobias Romu1,2, Anette Karlsson1,2, Bengt Norén2,3, Mikael F Forsgren2,4, Örjan Smedby2,3, Stergios Kechagias5, Sven Almer6,7, Peter Lundberg2,4, Magnus Borga1,2, Olof Dahlqvist Leinhard2,8. 1. Department of Biomedical Engineering (IMT), Linköping University, Linköping, Sweden. 2. Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden. 3. Department of Radiology and Department of Medical and Health Sciences, Linköping University, Linköping, Sweden. 4. Department of Radiation Physics and Department of Medical and Health Sciences, Linköping University, Linköping, Sweden. 5. Department of Gastroenterology and Hepatology and Department of Medical and Health Sciences, Linköping University, Linköping, Sweden. 6. Department of Gastroenterology and Department of Clinical and Experimental Medicine, Linköping University, Linköping, Sweden. 7. Division of Gastroenterology, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden. 8. Department of Medical and Health Sciences, Linköping University, Linköping, Sweden.
Abstract
PURPOSE: To quantitatively and qualitatively evaluate the water-signal performance of the consistent intensity inhomogeneity correction (CIIC) method to correct for intensity inhomogeneities METHODS: Water-fat volumes were acquired using 1.5 Tesla (T) and 3.0T symmetrically sampled 2-point Dixon three-dimensional MRI. Two datasets: (i) 10 muscle tissue regions of interest (ROIs) from 10 subjects acquired with both 1.5T and 3.0T whole-body MRI. (ii) Seven liver tissue ROIs from 36 patients imaged using 1.5T MRI at six time points after Gd-EOB-DTPA injection. The performance of CIIC was evaluated quantitatively by analyzing its impact on the dispersion and bias of the water image ROI intensities, and qualitatively using side-by-side image comparisons. RESULTS: CIIC significantly ( P1.5T≤2.3×10-4,P3.0T≤1.0×10-6) decreased the nonphysiological intensity variance while preserving the average intensity levels. The side-by-side comparisons showed improved intensity consistency ( Pint≤10-6) while not introducing artifacts ( Part=0.024) nor changed appearances ( Papp≤10-6). CONCLUSION: CIIC improves the spatiotemporal intensity consistency in regions of a homogenous tissue type.
PURPOSE: To quantitatively and qualitatively evaluate the water-signal performance of the consistent intensity inhomogeneity correction (CIIC) method to correct for intensity inhomogeneities METHODS:Water-fat volumes were acquired using 1.5 Tesla (T) and 3.0T symmetrically sampled 2-point Dixon three-dimensional MRI. Two datasets: (i) 10 muscle tissue regions of interest (ROIs) from 10 subjects acquired with both 1.5T and 3.0T whole-body MRI. (ii) Seven liver tissue ROIs from 36 patients imaged using 1.5T MRI at six time points after Gd-EOB-DTPA injection. The performance of CIIC was evaluated quantitatively by analyzing its impact on the dispersion and bias of the water image ROI intensities, and qualitatively using side-by-side image comparisons. RESULTS: CIIC significantly ( P1.5T≤2.3×10-4,P3.0T≤1.0×10-6) decreased the nonphysiological intensity variance while preserving the average intensity levels. The side-by-side comparisons showed improved intensity consistency ( Pint≤10-6) while not introducing artifacts ( Part=0.024) nor changed appearances ( Papp≤10-6). CONCLUSION: CIIC improves the spatiotemporal intensity consistency in regions of a homogenous tissue type.
Authors: Michael S Middleton; William Haufe; Jonathan Hooker; Magnus Borga; Olof Dahlqvist Leinhard; Thobias Romu; Patrik Tunón; Gavin Hamilton; Tanya Wolfson; Anthony Gamst; Rohit Loomba; Claude B Sirlin Journal: Radiology Date: 2017-03-09 Impact factor: 11.105
Authors: Hugo Giambini; Taku Hatta; Krzysztof R Gorny; Per Widholm; Anette Karlsson; Olof D Leinhard; Mark C Adkins; Chunfeng Zhao; Kai-Nan An Journal: Muscle Nerve Date: 2017-05-15 Impact factor: 3.217
Authors: Oleh Dzyubachyk; Marius Staring; Monique Reijnierse; Boudewijn P F Lelieveldt; Rob J van der Geest Journal: Magn Reson Med Date: 2016-02-01 Impact factor: 4.668