Matches in SemOpenAlex for { <https://semopenalex.org/work/W1528411120> ?p ?o ?g. }
Showing items 1 to 82 of
82
with 100 items per page.
- W1528411120 endingPage "370" @default.
- W1528411120 startingPage "367" @default.
- W1528411120 abstract "Noninvasive evaluation of metastatic disease in the spine has generally been limited to 2D qualitative or semiquantitative analysis techniques. This study aims to develop and evaluate a highly automated micro-CT–based quantitative analysis tool that can measure the architectural impact of metastatic involvement in whole vertebrae. Micro-CT analysis of rat whole vertebrae was conducted using a combination of demons deformable registration, level set curvature evolution, and intensity based thresholding techniques along with upsampling and edge enhancement techniques. The algorithm was applied to 6 lumbar vertebrae (L1–3) from 6 rnu/rnu rats (3 healthy rats and 3 with metastatic involvement). Osteolytic metastatic involvement was modeled via MT1 human breast cancer cells. Excellent volumetric concurrency was achieved in comparing the automated micro-CT–based segmentations of the whole vertebrae, trabecular centrums, and individual trabecular networks to manual segmentations (98.9%, 96.1%, and 98.3%, respectively; 6 specimens), and the automated segmentations were achieved in a fraction of the time. The algorithm successfully accounted for discontinuities in the cortical shell caused by vasculature and osteolytic destruction. As such, this work demonstrates the potential of this highly automated segmentation tool to permit rapid precise quantitative structural analysis of the spine with minimum user interaction in the analysis of both healthy and pathological (metastatically involved) vertebrae. Future optimization and the incorporation of lower-resolution imaging parameters may allow automated analysis of clinical CT–based measures in addition to preclinical micro-CT–based analyses of the structural impact and progression of pathological processes in the spine." @default.
- W1528411120 created "2016-06-24" @default.
- W1528411120 creator A5049425693 @default.
- W1528411120 creator A5051263805 @default.
- W1528411120 creator A5070333836 @default.
- W1528411120 date "2010-09-01" @default.
- W1528411120 modified "2023-10-16" @default.
- W1528411120 title "Micro-computed tomography–based highly automated 3D segmentation of the rat spine for quantitative analysis of metastatic disease" @default.
- W1528411120 cites W1974395735 @default.
- W1528411120 cites W1991113069 @default.
- W1528411120 cites W2002371619 @default.
- W1528411120 cites W2012986875 @default.
- W1528411120 cites W2054344276 @default.
- W1528411120 cites W2054351138 @default.
- W1528411120 cites W2085706475 @default.
- W1528411120 cites W2104307326 @default.
- W1528411120 cites W2133223473 @default.
- W1528411120 cites W2158167845 @default.
- W1528411120 cites W2165854452 @default.
- W1528411120 cites W4293310039 @default.
- W1528411120 doi "https://doi.org/10.3171/2010.3.spine09576" @default.
- W1528411120 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/20809732" @default.
- W1528411120 hasPublicationYear "2010" @default.
- W1528411120 type Work @default.
- W1528411120 sameAs 1528411120 @default.
- W1528411120 citedByCount "18" @default.
- W1528411120 countsByYear W15284111202012 @default.
- W1528411120 countsByYear W15284111202013 @default.
- W1528411120 countsByYear W15284111202014 @default.
- W1528411120 countsByYear W15284111202015 @default.
- W1528411120 countsByYear W15284111202016 @default.
- W1528411120 countsByYear W15284111202017 @default.
- W1528411120 countsByYear W15284111202018 @default.
- W1528411120 countsByYear W15284111202019 @default.
- W1528411120 countsByYear W15284111202021 @default.
- W1528411120 countsByYear W15284111202023 @default.
- W1528411120 crossrefType "journal-article" @default.
- W1528411120 hasAuthorship W1528411120A5049425693 @default.
- W1528411120 hasAuthorship W1528411120A5051263805 @default.
- W1528411120 hasAuthorship W1528411120A5070333836 @default.
- W1528411120 hasBestOaLocation W15284111202 @default.
- W1528411120 hasConcept C115961682 @default.
- W1528411120 hasConcept C126838900 @default.
- W1528411120 hasConcept C136229726 @default.
- W1528411120 hasConcept C154945302 @default.
- W1528411120 hasConcept C191178318 @default.
- W1528411120 hasConcept C2989005 @default.
- W1528411120 hasConcept C41008148 @default.
- W1528411120 hasConcept C71924100 @default.
- W1528411120 hasConcept C89600930 @default.
- W1528411120 hasConceptScore W1528411120C115961682 @default.
- W1528411120 hasConceptScore W1528411120C126838900 @default.
- W1528411120 hasConceptScore W1528411120C136229726 @default.
- W1528411120 hasConceptScore W1528411120C154945302 @default.
- W1528411120 hasConceptScore W1528411120C191178318 @default.
- W1528411120 hasConceptScore W1528411120C2989005 @default.
- W1528411120 hasConceptScore W1528411120C41008148 @default.
- W1528411120 hasConceptScore W1528411120C71924100 @default.
- W1528411120 hasConceptScore W1528411120C89600930 @default.
- W1528411120 hasIssue "3" @default.
- W1528411120 hasLocation W15284111201 @default.
- W1528411120 hasLocation W15284111202 @default.
- W1528411120 hasLocation W15284111203 @default.
- W1528411120 hasOpenAccess W1528411120 @default.
- W1528411120 hasPrimaryLocation W15284111201 @default.
- W1528411120 hasRelatedWork W124243839 @default.
- W1528411120 hasRelatedWork W1622285688 @default.
- W1528411120 hasRelatedWork W2347731544 @default.
- W1528411120 hasRelatedWork W2386894152 @default.
- W1528411120 hasRelatedWork W2411367154 @default.
- W1528411120 hasRelatedWork W2750730210 @default.
- W1528411120 hasRelatedWork W2770684271 @default.
- W1528411120 hasRelatedWork W2959862648 @default.
- W1528411120 hasRelatedWork W2994101073 @default.
- W1528411120 hasRelatedWork W3103243916 @default.
- W1528411120 hasVolume "13" @default.
- W1528411120 isParatext "false" @default.
- W1528411120 isRetracted "false" @default.
- W1528411120 magId "1528411120" @default.
- W1528411120 workType "article" @default.