Jose R Teruel1,2, Hans E Fjøsne3,4, Agnes Østlie5, Dominic Holland6, Anders M Dale1,6,7, Tone F Bathen1, Pål E Goa5,8. 1. Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway. 2. St. Olavs University Hospital, Trondheim, Norway. 3. Department of Surgery, St. Olavs University Hospital, Trondheim, Norway. 4. Department of Cancer Research and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway. 5. Clinic of Radiology and Nuclear Medicine, St. Olavs University Hospital, Trondheim, Norway. 6. Department of Neurosciences, University of California, San Diego, La Jolla, California, USA. 7. Department of Radiology, University of California, San Diego, La Jolla, California, USA. 8. Department of Physics, Norwegian University of Science and Technology, Trondheim, Norway.
Abstract
PURPOSE: To evaluate the performance of an advanced method for correction of inhomogeneous static magnetic field induced distortion in echo-planar imaging (EPI), applied to diffusion-weighted MRI (DWI) of the breast. METHODS: An algorithm for distortion correction based on the symmetry of the distortion induced by static field inhomogeneity when the phase encoding polarity is reversed was evaluated in 36 data sets of patients who received an MRI examination that included DWI (b = 0 and 700 s/mm(2) ) and an extra b = 0 s/mm(2) sequence with opposite phase encoding polarity. The decrease of the L2 -square norm after correction between opposed phase encoding b = 0 images was calculated. Mattes mutual information between b = 0 images and fat-suppressed T2 -weighted images was calculated before and after correction. RESULTS: The L2 -square norm between different phase encoding polarities for b = 0 images was reduced 94.3% on average after distortion correction. Furthermore, Mattes mutual information between b = 0 images and fat-suppressed T2 -weighted images increased significantly after correction for all cases (P < 0.001). CONCLUSION: Geometric distortion correction in DWI of the breast results in higher similarity of DWI to anatomical non-EPI T2 -weighted images and would potentially allow for a more reliable lesion segmentation mapping among different MRI modalities.
PURPOSE: To evaluate the performance of an advanced method for correction of inhomogeneous static magnetic field induced distortion in echo-planar imaging (EPI), applied to diffusion-weighted MRI (DWI) of the breast. METHODS: An algorithm for distortion correction based on the symmetry of the distortion induced by static field inhomogeneity when the phase encoding polarity is reversed was evaluated in 36 data sets of patients who received an MRI examination that included DWI (b = 0 and 700 s/mm(2) ) and an extra b = 0 s/mm(2) sequence with opposite phase encoding polarity. The decrease of the L2 -square norm after correction between opposed phase encoding b = 0 images was calculated. Mattes mutual information between b = 0 images and fat-suppressed T2 -weighted images was calculated before and after correction. RESULTS: The L2 -square norm between different phase encoding polarities for b = 0 images was reduced 94.3% on average after distortion correction. Furthermore, Mattes mutual information between b = 0 images and fat-suppressed T2 -weighted images increased significantly after correction for all cases (P < 0.001). CONCLUSION: Geometric distortion correction in DWI of the breast results in higher similarity of DWI to anatomical non-EPI T2 -weighted images and would potentially allow for a more reliable lesion segmentation mapping among different MRI modalities.
Authors: Ileana Hancu; Seung-Kyun Lee; Keith Hulsey; Robert Lenkinski; Dominic Holland; Jonathan I Sperl; Ek T Tan Journal: Magn Reson Med Date: 2016-07-12 Impact factor: 4.668
Authors: Jason Ostenson; Akshat C Pujara; Artem Mikheev; Linda Moy; Sungheon G Kim; Amy N Melsaether; Komal Jhaveri; Sylvia Adams; David Faul; Christopher Glielmi; Christian Geppert; Thorsten Feiweier; Kimberly Jackson; Gene Y Cho; Fernando E Boada; Eric E Sigmund Journal: Magn Reson Med Date: 2016-10-25 Impact factor: 4.668
Authors: Jennifer G Whisenant; Justin Romanoff; Habib Rahbar; Averi E Kitsch; Sara M Harvey; Linda Moy; Wendy B DeMartini; Basak E Dogan; Wei T Yang; Lilian C Wang; Bonnie N Joe; Lisa J Wilmes; Nola M Hylton; Karen Y Oh; Luminita A Tudorica; Colleen H Neal; Dariya I Malyarenko; Elizabeth S McDonald; Christopher E Comstock; Thomas E Yankeelov; Thomas L Chenevert; Savannah C Partridge Journal: J Breast Imaging Date: 2020-12-24
Authors: Maren M Sjaastad Andreassen; Ana E Rodríguez-Soto; Rebecca Rakow-Penner; Anders M Dale; Christopher C Conlin; Igor Vidić; Tyler M Seibert; Anne M Wallace; Somaye Zare; Joshua Kuperman; Boya Abudu; Grace S Ahn; Michael Hahn; Neil P Jerome; Agnes Østlie; Tone F Bathen; Haydee Ojeda-Fournier; Pål Erik Goa Journal: Clin Cancer Res Date: 2020-11-04 Impact factor: 12.531
Authors: Jeffrey Mark Treiber; Nathan S White; Tyler Christian Steed; Hauke Bartsch; Dominic Holland; Nikdokht Farid; Carrie R McDonald; Bob S Carter; Anders Martin Dale; Clark C Chen Journal: PLoS One Date: 2016-03-30 Impact factor: 3.240