FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2071404056> ?p ?o ?g. }

• W2071404056 endingPage "086007" @default.
• W2071404056 startingPage "086007" @default.
• W2071404056 abstract "Multimodal approaches that combine near-infrared (NIR) and conventional imaging modalities have been shown to improve optical parameter estimation dramatically and thus represent a prevailing trend in NIR imaging. These approaches typically involve applying anatomical templates from magnetic resonance imaging/computed tomography/ultrasound images to guide the recovery of optical parameters. However, merging these data sets using current technology requires multiple software packages, substantial expertise, significant time-commitment, and often results in unacceptably poor mesh quality for optical image reconstruction, a reality that represents a significant roadblock for translational research of multimodal NIR imaging. This work addresses these challenges directly by introducing automated digital imaging and communications in medicine image stack segmentation and a new one-click three-dimensional mesh generator optimized for multimodal NIR imaging, and combining these capabilities into a single software package (available for free download) with a streamlined workflow. Image processing time and mesh quality benchmarks were examined for four common multimodal NIR use-cases (breast, brain, pancreas, and small animal) and were compared to a commercial image processing package. Applying these tools resulted in a fivefold decrease in image processing time and 62% improvement in minimum mesh quality, in the absence of extra mesh postprocessing. These capabilities represent a significant step toward enabling translational multimodal NIR research for both expert and nonexpert users in an open-source platform." @default.
• W2071404056 created "2016-06-24" @default.
• W2071404056 creator A5003754247 @default.
• W2071404056 creator A5004829035 @default.
• W2071404056 creator A5009142951 @default.
• W2071404056 creator A5022307495 @default.
• W2071404056 creator A5032240678 @default.
• W2071404056 creator A5064683888 @default.
• W2071404056 creator A5068665512 @default.
• W2071404056 date "2013-08-12" @default.
• W2071404056 modified "2023-10-14" @default.
• W2071404056 title "Fast segmentation and high-quality three-dimensional volume mesh creation from medical images for diffuse optical tomography" @default.
• W2071404056 cites W1484996622 @default.
• W2071404056 cites W1969549682 @default.
• W2071404056 cites W1977556410 @default.
• W2071404056 cites W1997227198 @default.
• W2071404056 cites W2007492138 @default.
• W2071404056 cites W2014141896 @default.
• W2071404056 cites W2016052416 @default.
• W2071404056 cites W2020586275 @default.
• W2071404056 cites W2021369132 @default.
• W2071404056 cites W2026723510 @default.
• W2071404056 cites W2029022756 @default.
• W2071404056 cites W2037136004 @default.
• W2071404056 cites W2037453651 @default.
• W2071404056 cites W2038332958 @default.
• W2071404056 cites W2040601668 @default.
• W2071404056 cites W2063895512 @default.
• W2071404056 cites W2066904044 @default.
• W2071404056 cites W2069009977 @default.
• W2071404056 cites W2086018477 @default.
• W2071404056 cites W2110012738 @default.
• W2071404056 cites W2110993835 @default.
• W2071404056 cites W2117340355 @default.
• W2071404056 cites W2118569928 @default.
• W2071404056 cites W2129895017 @default.
• W2071404056 cites W2133003941 @default.
• W2071404056 cites W2135832541 @default.
• W2071404056 cites W2135881795 @default.
• W2071404056 cites W2136102531 @default.
• W2071404056 cites W2145623401 @default.
• W2071404056 cites W2146607388 @default.
• W2071404056 cites W2245398525 @default.
• W2071404056 cites W2542685526 @default.
• W2071404056 doi "https://doi.org/10.1117/1.jbo.18.8.086007" @default.
• W2071404056 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/3739873" @default.
• W2071404056 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/23942632" @default.
• W2071404056 hasPublicationYear "2013" @default.
• W2071404056 type Work @default.
• W2071404056 sameAs 2071404056 @default.
• W2071404056 citedByCount "147" @default.
• W2071404056 countsByYear W20714040562014 @default.
• W2071404056 countsByYear W20714040562015 @default.
• W2071404056 countsByYear W20714040562016 @default.
• W2071404056 countsByYear W20714040562017 @default.
• W2071404056 countsByYear W20714040562018 @default.
• W2071404056 countsByYear W20714040562019 @default.
• W2071404056 countsByYear W20714040562020 @default.
• W2071404056 countsByYear W20714040562021 @default.
• W2071404056 countsByYear W20714040562022 @default.
• W2071404056 countsByYear W20714040562023 @default.
• W2071404056 crossrefType "journal-article" @default.
• W2071404056 hasAuthorship W2071404056A5003754247 @default.
• W2071404056 hasAuthorship W2071404056A5004829035 @default.
• W2071404056 hasAuthorship W2071404056A5009142951 @default.
• W2071404056 hasAuthorship W2071404056A5022307495 @default.
• W2071404056 hasAuthorship W2071404056A5032240678 @default.
• W2071404056 hasAuthorship W2071404056A5064683888 @default.
• W2071404056 hasAuthorship W2071404056A5068665512 @default.
• W2071404056 hasBestOaLocation W20714040561 @default.
• W2071404056 hasConcept C115961682 @default.
• W2071404056 hasConcept C126838900 @default.
• W2071404056 hasConcept C141379421 @default.
• W2071404056 hasConcept C145417883 @default.
• W2071404056 hasConcept C154945302 @default.
• W2071404056 hasConcept C177212765 @default.
• W2071404056 hasConcept C199360897 @default.
• W2071404056 hasConcept C2776127602 @default.
• W2071404056 hasConcept C2777904410 @default.
• W2071404056 hasConcept C31601959 @default.
• W2071404056 hasConcept C31972630 @default.
• W2071404056 hasConcept C41008148 @default.
• W2071404056 hasConcept C55020928 @default.
• W2071404056 hasConcept C71924100 @default.
• W2071404056 hasConcept C77088390 @default.
• W2071404056 hasConcept C89600930 @default.
• W2071404056 hasConcept C9417928 @default.
• W2071404056 hasConceptScore W2071404056C115961682 @default.
• W2071404056 hasConceptScore W2071404056C126838900 @default.
• W2071404056 hasConceptScore W2071404056C141379421 @default.
• W2071404056 hasConceptScore W2071404056C145417883 @default.
• W2071404056 hasConceptScore W2071404056C154945302 @default.
• W2071404056 hasConceptScore W2071404056C177212765 @default.
• W2071404056 hasConceptScore W2071404056C199360897 @default.
• W2071404056 hasConceptScore W2071404056C2776127602 @default.
• W2071404056 hasConceptScore W2071404056C2777904410 @default.
• W2071404056 hasConceptScore W2071404056C31601959 @default.
• W2071404056 hasConceptScore W2071404056C31972630 @default.

• next