Matches in SemOpenAlex for { <https://semopenalex.org/work/W2004910725> ?p ?o ?g. }
Showing items 1 to 88 of
88
with 100 items per page.
- W2004910725 endingPage "3177" @default.
- W2004910725 startingPage "3177" @default.
- W2004910725 abstract "Purpose: Spectral clustering refers to a class of techniques which rely on the eigenstructure of a similarity matrix to partition pixels into disjoint clusters. This study intended to investigate the feasibility of using the unsupervised spectral clustering method for PET tumor segmentation. Method and Materials: In this study a digital PET phantom was adopted as the source to generate PET images with heterogeneous and/or irregular shaped tumors. The simulation was carried out by feeding the Zubal phantom as anatomical input to the SimSET (the Simulation System for Emission Tomography) software, which employs Monte Carlo techniques to model the underlying physical processes and imaging system to produce simulated emission tomography data. There were a total of 30 lung tumors with a variety of heterogeneous activities and/or irregular shapes simulated. The unsupervised spectral clustering algorithm was then applied to segment the simulated images. Segmentation accuracy was assessed with two metrics: volume detection error (VDE) and volume overlap measure (VOM). Results: The spectral clustering technique partitions the image volume into an optimal number of clusters according to the pair-wise similarity measure between voxels. Upon segmentation, one can then select the segmented tumor regions for subsequent processing and analysis. Applying the spectral clustering technique on all the 30 simulated PET images shows that VDE ranges from −5.5% to 6.2%, and VOM ranges from 0.94 to 1.Conclusion: This study shows the potential of the unsupervised 3D spectral clustering method for PET tumor segmentation. Segmentation performance in terms of VDE and VOM on stimulated PET images shows this method may have the potential for accurate and consistent segmentation of tumors. Compared with thresholding-based PET tumor delineation techniques, it segments the PET image without requiring any threshold-volume relationship. Studies to further evaluate this method on patient data are planned." @default.
- W2004910725 created "2016-06-24" @default.
- W2004910725 creator A5005328001 @default.
- W2004910725 creator A5015021852 @default.
- W2004910725 creator A5043619532 @default.
- W2004910725 creator A5089586439 @default.
- W2004910725 creator A5091674984 @default.
- W2004910725 date "2010-06-01" @default.
- W2004910725 modified "2023-09-27" @default.
- W2004910725 title "SU-GG-J-137: Application of Unsupervised Spectral Clustering in 3D for PET Tumor Segmentation: A Digital Phantom Study" @default.
- W2004910725 doi "https://doi.org/10.1118/1.3468361" @default.
- W2004910725 hasPublicationYear "2010" @default.
- W2004910725 type Work @default.
- W2004910725 sameAs 2004910725 @default.
- W2004910725 citedByCount "0" @default.
- W2004910725 crossrefType "journal-article" @default.
- W2004910725 hasAuthorship W2004910725A5005328001 @default.
- W2004910725 hasAuthorship W2004910725A5015021852 @default.
- W2004910725 hasAuthorship W2004910725A5043619532 @default.
- W2004910725 hasAuthorship W2004910725A5089586439 @default.
- W2004910725 hasAuthorship W2004910725A5091674984 @default.
- W2004910725 hasConcept C103278499 @default.
- W2004910725 hasConcept C104293457 @default.
- W2004910725 hasConcept C105795698 @default.
- W2004910725 hasConcept C115961682 @default.
- W2004910725 hasConcept C120665830 @default.
- W2004910725 hasConcept C121332964 @default.
- W2004910725 hasConcept C124504099 @default.
- W2004910725 hasConcept C153180895 @default.
- W2004910725 hasConcept C154945302 @default.
- W2004910725 hasConcept C160633673 @default.
- W2004910725 hasConcept C19499675 @default.
- W2004910725 hasConcept C31601959 @default.
- W2004910725 hasConcept C31972630 @default.
- W2004910725 hasConcept C33923547 @default.
- W2004910725 hasConcept C41008148 @default.
- W2004910725 hasConcept C54170458 @default.
- W2004910725 hasConcept C73555534 @default.
- W2004910725 hasConcept C89600930 @default.
- W2004910725 hasConceptScore W2004910725C103278499 @default.
- W2004910725 hasConceptScore W2004910725C104293457 @default.
- W2004910725 hasConceptScore W2004910725C105795698 @default.
- W2004910725 hasConceptScore W2004910725C115961682 @default.
- W2004910725 hasConceptScore W2004910725C120665830 @default.
- W2004910725 hasConceptScore W2004910725C121332964 @default.
- W2004910725 hasConceptScore W2004910725C124504099 @default.
- W2004910725 hasConceptScore W2004910725C153180895 @default.
- W2004910725 hasConceptScore W2004910725C154945302 @default.
- W2004910725 hasConceptScore W2004910725C160633673 @default.
- W2004910725 hasConceptScore W2004910725C19499675 @default.
- W2004910725 hasConceptScore W2004910725C31601959 @default.
- W2004910725 hasConceptScore W2004910725C31972630 @default.
- W2004910725 hasConceptScore W2004910725C33923547 @default.
- W2004910725 hasConceptScore W2004910725C41008148 @default.
- W2004910725 hasConceptScore W2004910725C54170458 @default.
- W2004910725 hasConceptScore W2004910725C73555534 @default.
- W2004910725 hasConceptScore W2004910725C89600930 @default.
- W2004910725 hasIssue "6Part11" @default.
- W2004910725 hasLocation W20049107251 @default.
- W2004910725 hasOpenAccess W2004910725 @default.
- W2004910725 hasPrimaryLocation W20049107251 @default.
- W2004910725 hasRelatedWork W111214574 @default.
- W2004910725 hasRelatedWork W1978708231 @default.
- W2004910725 hasRelatedWork W2109719706 @default.
- W2004910725 hasRelatedWork W2123504639 @default.
- W2004910725 hasRelatedWork W2255437297 @default.
- W2004910725 hasRelatedWork W2344528587 @default.
- W2004910725 hasRelatedWork W2463367539 @default.
- W2004910725 hasRelatedWork W2472017054 @default.
- W2004910725 hasRelatedWork W2529045332 @default.
- W2004910725 hasRelatedWork W2529437676 @default.
- W2004910725 hasRelatedWork W2766414629 @default.
- W2004910725 hasRelatedWork W2807730945 @default.
- W2004910725 hasRelatedWork W2908672892 @default.
- W2004910725 hasRelatedWork W2910883391 @default.
- W2004910725 hasRelatedWork W2920770757 @default.
- W2004910725 hasRelatedWork W2971461860 @default.
- W2004910725 hasRelatedWork W3007148159 @default.
- W2004910725 hasRelatedWork W3011844840 @default.
- W2004910725 hasRelatedWork W3099245356 @default.
- W2004910725 hasRelatedWork W2189605079 @default.
- W2004910725 hasVolume "37" @default.
- W2004910725 isParatext "false" @default.
- W2004910725 isRetracted "false" @default.
- W2004910725 magId "2004910725" @default.
- W2004910725 workType "article" @default.