scholarly journals Computing Spatial Similarity by Games

2001 ◽  
pp. 99-110 ◽  
Author(s):  
Marco Aiello
Keyword(s):  
Spatial Similarity

Quantitative Expressions of Spatial Similarity in Multi-scale Map Spaces

2017 ◽  
pp. 405-416
Author(s):  
Haowen Yan ◽  
Liming Zhang ◽  
Zhonghui Wang ◽  
Weifang Yang ◽  
Tao Liu ◽  
...  
Keyword(s):  
Multi Scale ◽  
Spatial Similarity

Design and evaluation of algorithms for image retrieval by spatial similarity

1995 ◽  
Vol 13 (2) ◽  
pp. 115-144 ◽  
Author(s):  
Venkat N. Gudivada ◽  
Vijay V. Raghavan
Keyword(s):  
Image Retrieval ◽  
Spatial Similarity

Active contour model for medical sequence image segmentation based on spatial similarity

2019 ◽  
Vol 5 (2) ◽  
pp. 85
Author(s):  
Chencheng Huang ◽  
Denglan Lei ◽  
Zhaofei Li
Keyword(s):  
Image Segmentation ◽  
Active Contour ◽  
Active Contour Model ◽  
Spatial Similarity ◽  
Contour Model

scholarly journals P14.32 Spatial discrepancies between FET PET and conventional MRI in patients with newly diagnosed glioblastoma

2019 ◽  
Vol 21 (Supplement_3) ◽  
pp. iii74-iii74
Author(s):  
P Lohmann ◽  
P Stavrinou ◽  
K Lipke ◽  
E K Bauer ◽  
G Ceccon ◽  
...  
Keyword(s):  
Amino Acid ◽  
Tumor Volume ◽  
Newly Diagnosed ◽  
Similarity Coefficients ◽  
Fet Pet ◽  
Spatial Similarity ◽  
Conventional Mri ◽  
Fluid Attenuated Inversion Recovery ◽  
Amino Acid Pet ◽  
Newly Diagnosed Glioblastoma

Abstract BACKGROUND In patients with glioblastoma, the tissue showing contrast enhancement (CE) in MRI is usually the target for resection or radiotherapy. However, the solid tumor mass typically extends beyond the area of CE. Amino acid PET can detect tumor parts that show no CE. We systematically investigated tumor volumes delineated by amino acid PET and MRI in newly diagnosed, untreated glioblastoma patients. MATERIAL AND METHODS Preoperatively, 50 patients with subsequently neuropathologically confirmed glioblastoma underwent O-(2-[18F]-fluoroethyl)-L-tyrosine (FET) PET, fluid-attenuated inversion recovery (FLAIR), and CE MRI. Areas of CE were manually delineated. FET PET tumor volumes were segmented using a tumor-to-brain ratio ≥ 1.6. The percentage of overlapping volumes (OV), as well as Dice and Jaccard spatial similarity coefficients (DSC; JSC), were calculated. FLAIR images were evaluated visually. RESULTS In 86% of patients (n = 43), the FET PET tumor volume was significantly larger than the volume of CE (21.5 ± 14.3 mL vs. 9.4 ± 11.3 mL; P < 0.001). Forty patients (80%) showed both an increased uptake of FET and CE. In these 40 patients, the spatial similarity between FET and CE was low (mean DSC, 0.39 ± 0.21; mean JSC, 0.26 ± 0.16). Ten patients (20%) showed no CE, and one of these patients showed no FET uptake. In 10% of patients (n = 5), increased FET uptake was present outside of areas of FLAIR hyperintensity. CONCLUSION Our results show that the metabolically active tumor volume delineated by FET PET is significantly larger than tumor volume delineated by CE. The data strongly suggest that the information derived from FET PET should be integrated into the management of newly diagnosed glioblastoma patients. FUNDING This work was supported by the Wilhelm-Sander Stiftung, Germany

A Global Spatial Similarity Optimization Scheme to Track Large Numbers of Dendritic Spines in Time-Lapse Confocal Microscopy

2011 ◽  
Vol 30 (3) ◽  
pp. 632-641 ◽  
Author(s):  
Qing Li ◽  
Zhigang Deng ◽  
Yong Zhang ◽  
Xiaobo Zhou ◽  
U. Valentin Nagerl ◽  
...  
Keyword(s):  
Confocal Microscopy ◽  
Dendritic Spines ◽  
Time Lapse ◽  
Optimization Scheme ◽  
Spatial Similarity ◽  
Large Numbers
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