caa a22 4500 463178467 CHVBK 20180406164832.0 cr unu---uuuuu 170326e20070901xx s 000 0 eng 10.1007/s10278-006-1038-1 doi (NATIONALLICENCE)springer-10.1007/s10278-006-1038-1 Part 1. Automated Change Detection and Characterization in Serial MR Studies of Brain-Tumor Patients [Elektronische Daten] [Julia Patriarche, Bradley Erickson] The goal of this study was to create an algorithm which would quantitatively compare serial magnetic resonance imaging studies of brain-tumor patients. A novel algorithm and a standard classify-subtract algorithm were constructed. The ability of both algorithms to detect and characterize changes was compared using a series of digital phantoms. The novel algorithm achieved a mean sensitivity of 0.87 (compared with 0.59 for classify-subtract) and a mean specificity of 0.98 (compared with 0.92 for classify-subtract) with regard to identification of voxels as changing or unchanging and classification of voxels into types of change. The novel algorithm achieved perfect specificity in seven of the nine experiments. The novel algorithm was additionally applied to a short series of clinical cases, where it was shown to identify visually subtle changes. Automated change detection and characterization could facilitate objective review and understanding of serial magnetic resonance imaging studies in brain-tumor patients. SCAR (Society for Computer Applications in Radiology), 2007 Brain tumor nationallicence serial imaging nationallicence change detection nationallicence Patriarche Julia Department of Radiology, Mayo Clinic and Foundation, 55905, Rochester, MN, USA aut Erickson Bradley Department of Radiology, Mayo Clinic and Foundation, 55905, Rochester, MN, USA aut Journal of Digital Imaging Springer-Verlag; http://www.springer-ny.com 20/3(2007-09-01), 203-222 0897-1889 20:3<203 2007 20 10278 https://doi.org/10.1007/s10278-006-1038-1 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10278-006-1038-1 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Patriarche Julia Department of Radiology, Mayo Clinic and Foundation, 55905, Rochester, MN, USA aut NATIONALLICENCE 700 1- Erickson Bradley Department of Radiology, Mayo Clinic and Foundation, 55905, Rochester, MN, USA aut NATIONALLICENCE 773 0- Journal of Digital Imaging Springer-Verlag; http://www.springer-ny.com 20/3(2007-09-01), 203-222 0897-1889 20:3<203 2007 20 10278 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer