Whole-body T1 mapping improves the definition of adipose tissue: Consequences for automated image analysis

@article{citeulike:1088224, abstract = {To determine whether a whole-body T1-mapping acquisition method improves the definition of adipose tissue (AT) and simplifies automated AT segmentation compared to an image-based method.The study included 10 subjects. Two whole-body volumes were acquired from each subject using two different flip angles. Whole-body T1 maps were calculated from each pair of whole-body volumes. AT was automatically segmented from the T1 maps and from the original image slices. The results were evaluated using manually segmented slices as reference.The T1-mapping method segmented more of the reference AT than the image-based method, with mean values (standard deviations (SDs)) of 87.7(5.1)\% and 81.1(5.2)\%, respectively. Compared to the image-based method, the T1-mapping method gives better histogram separation of AT in whole-body volumes. The suggested method also provides an output with smaller in-slice AT intensity variations.The T1-mapping method improves the definition of AT. T1-based analysis is superior to analysis based on the original images, and allows fully automated and accurate whole-body AT segmentation. J. Magn. Reson. Imaging 2006. {\copyright} 2006 Wiley-Liss, Inc.}, address = {Department of Radiology, Uppsala University Hospital, Uppsala, Sweden; Department of Body Composition and Metabolism, Sahlgrenska Academy at G\"{o}teborg University, G\"{o}teborg, Sweden; Department of Radiology, Sahlgrenska University Hospital, G\"{o}teborg, Sweden}, author = {Kullberg, Joel and Angelhed, Jan-Erik and L\"{o}nn, Lars and Brandberg, John and Ahlstr\"{o}m, H\r{a}kan and Frimmel, Hans and Johansson, Lars }, citeulike-article-id = {1088224}, doi = {10.1002/jmri.20644}, journal = {Journal of Magnetic Resonance Imaging}, keywords = {adipose\_tissue, fat, mri, t1}, number = {2}, pages = {394--401}, posted-at = {2007-02-05 10:37:47}, priority = {2}, title = {Whole-body T1 mapping improves the definition of adipose tissue: Consequences for automated image analysis}, url = {http://dx.doi.org/10.1002/jmri.20644}, volume = {24}, year = {2006} }

TY - JOUR ID - citeulike:1088224 L3 - citeulike-article-id:1088224 TI - Whole-body T1 mapping improves the definition of adipose tissue: Consequences for automated image analysis JF - Journal of Magnetic Resonance Imaging VL - 24 IS - 2 SP - 394 EP - 401 AD - Department of Radiology, Uppsala University Hospital, Uppsala, Sweden; Department of Body Composition and Metabolism, Sahlgrenska Academy at Göteborg University, Göteborg, Sweden; Department of Radiology, Sahlgrenska University Hospital, Göteborg, Sweden N2 - To determine whether a whole-body T1-mapping acquisition method improves the definition of adipose tissue (AT) and simplifies automated AT segmentation compared to an image-based method.The study included 10 subjects. Two whole-body volumes were acquired from each subject using two different flip angles. Whole-body T1 maps were calculated from each pair of whole-body volumes. AT was automatically segmented from the T1 maps and from the original image slices. The results were evaluated using manually segmented slices as reference.The T1-mapping method segmented more of the reference AT than the image-based method, with mean values (standard deviations (SDs)) of 87.7(5.1)% and 81.1(5.2)%, respectively. Compared to the image-based method, the T1-mapping method gives better histogram separation of AT in whole-body volumes. The suggested method also provides an output with smaller in-slice AT intensity variations.The T1-mapping method improves the definition of AT. T1-based analysis is superior to analysis based on the original images, and allows fully automated and accurate whole-body AT segmentation. J. Magn. Reson. Imaging 2006. © 2006 Wiley-Liss, Inc. KW - adipose_tissue KW - fat KW - mri KW - t1 AU - Kullberg, Joel AU - Angelhed, Jan-Erik AU - Lönn, Lars AU - Brandberg, John AU - Ahlström, Håkan AU - Frimmel, Hans AU - Johansson, Lars PY - 2006/// UR - http://dx.doi.org/10.1002/jmri.20644 ER -