caa a22 4500 46578576X CHVBK 20180323112008.0 cr unu---uuuuu 170327e19900401xx s 000 0 eng 10.1007/BF00842792 doi (NATIONALLICENCE)springer-10.1007/BF00842792 Luna scintigraphy clustering by texture analysis [Elektronische Daten] [L. Cinotti, S. Edery, E. Kahn, H. Susskind, A. Brilla, R. di Paola] The efficiency of texture analysis parameters, describing the organization of grey level variations of an image, was studied for lung scintigraphic data classification. Twenty one patients received a99mTc-MAA perfusion scan and81mKr and and127 Xe ventilation scans. Scans were scaled to 64 grey levels and 100 k events for inter subject comparison. The texture index was the average of the absolute difference between a pixel and its neighbors. Energy, entropy, correlation, local homogeneity and inertia were computed using co-occurence matrices. A principal component analysis was carried out on each parameter for each type of scan and the first principal components were selected as clustering indices. Validation was achieved by simulating 2 series of 20 increasingly heterogeneous perfusion and ventilation scans. For most of the texture parameters, one principal component could summarize the patients data since it corresponded to the relative variances of 67%-88% for perfusion scans, 53%-99% for81mKr scans and 38%-97% for127Xe scans. The simulated series demonstrated a linear relationship between the heterogeneity and the first principal component for texture index, energy, entropy and inertia. This was not the case for correlation and local homogeneity. We conclude that heterogeneity of lung scans may be quantified by texture analysis. The texture index is the easiest to compute and provides the most efficient results for clinical purpose. Springer-Verlag, 1990 Lung scans nationallicence Texture analysis nationallicence Principal component analysis nationallicence Cinotti L. INSERM U 66 - Institut Gustave Roussy, F-94800, Villejuif, France aut Edery S. Laboratoire de Probabilitès, Universitè Pierre et Marie Curie, Paris, France aut Kahn E. INSERM U 66 - Institut Gustave Roussy, F-94800, Villejuif, France aut Susskind H. Medical Department, Brookhaven National Laboratory, 11973, Upton, NY, USA aut Brilla A. Medical Department, Brookhaven National Laboratory, 11973, Upton, NY, USA aut di Paola R. INSERM U 66 - Institut Gustave Roussy, F-94800, Villejuif, France aut European Journal of Nuclear Medicine Springer-Verlag 16/4-6(1990-04-01), 353-359 0340-6997 16:4-6<353 1990 16 259 https://doi.org/10.1007/BF00842792 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/BF00842792 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Cinotti L. INSERM U 66 - Institut Gustave Roussy, F-94800, Villejuif, France aut NATIONALLICENCE 700 1- Edery S. Laboratoire de Probabilitès, Universitè Pierre et Marie Curie, Paris, France aut NATIONALLICENCE 700 1- Kahn E. INSERM U 66 - Institut Gustave Roussy, F-94800, Villejuif, France aut NATIONALLICENCE 700 1- Susskind H. Medical Department, Brookhaven National Laboratory, 11973, Upton, NY, USA aut NATIONALLICENCE 700 1- Brilla A. Medical Department, Brookhaven National Laboratory, 11973, Upton, NY, USA aut NATIONALLICENCE 700 1- di Paola R. INSERM U 66 - Institut Gustave Roussy, F-94800, Villejuif, France aut NATIONALLICENCE 773 0- European Journal of Nuclear Medicine Springer-Verlag 16/4-6(1990-04-01), 353-359 0340-6997 16:4-6<353 1990 16 259 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer