FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2963758133> ?p ?o ?g. }

• W2963758133 abstract "Diffusion weighted magnetic resonance imaging (DW-MR) is a powerful tool in imaging-based prostate cancer screening and detection. Endorectal coils are commonly used in DW-MR imaging to improve the signal-to-noise ratio (SNR) of the acquisition, at the expense of significant intensity inhomogeneities (bias field) that worsens as we move away from the endorectal coil. The presence of bias field can have a significant negative impact on the accuracy of different image analysis tasks, as well as prostate tumor localization, thus leading to increased inter- and intra-observer variability. Retrospective bias correction approaches are introduced as a more efficient way of bias correction compared to the prospective methods such that they correct for both of the scanner and anatomy-related bias fields in MR imaging. Previously proposed retrospective bias field correction methods suffer from undesired noise amplification that can reduce the quality of bias-corrected DW-MR image. Here, we propose a unified data reconstruction approach that enables joint compensation of bias field as well as data noise in DW-MR imaging. The proposed noise-compensated, bias-corrected (NCBC) data reconstruction method takes advantage of a novel stochastically fully connected joint conditional random field (SFC-JCRF) model to mitigate the effects of data noise and bias field in the reconstructed MR data. The proposed NCBC reconstruction method was tested on synthetic DW-MR data, physical DW-phantom as well as real DW-MR data all acquired using endorectal MR coil. Both qualitative and quantitative analysis illustrated that the proposed NCBC method can achieve improved image quality when compared to other tested bias correction methods. As such, the proposed NCBC method may have potential as a useful retrospective approach for improving the consistency of image interpretations." @default.
• W2963758133 created "2019-07-30" @default.
• W2963758133 creator A5027990022 @default.
• W2963758133 creator A5034161060 @default.
• W2963758133 creator A5034208717 @default.
• W2963758133 creator A5040284711 @default.
• W2963758133 creator A5069201516 @default.
• W2963758133 date "2016-12-01" @default.
• W2963758133 modified "2023-09-24" @default.
• W2963758133 title "Noise-Compensated, Bias-Corrected Diffusion Weighted Endorectal Magnetic Resonance Imaging via a Stochastically Fully-Connected Joint Conditional Random Field Model" @default.
• W2963758133 cites W1488854531 @default.
• W2963758133 cites W1536754541 @default.
• W2963758133 cites W1771067798 @default.
• W2963758133 cites W179179905 @default.
• W2963758133 cites W1797969421 @default.
• W2963758133 cites W1807788254 @default.
• W2963758133 cites W1837073842 @default.
• W2963758133 cites W190857994 @default.
• W2963758133 cites W1911170342 @default.
• W2963758133 cites W1929342880 @default.
• W2963758133 cites W1938130706 @default.
• W2963758133 cites W1969762458 @default.
• W2963758133 cites W1989532447 @default.
• W2963758133 cites W1993902086 @default.
• W2963758133 cites W1995777280 @default.
• W2963758133 cites W1995927291 @default.
• W2963758133 cites W2007995537 @default.
• W2963758133 cites W2013824417 @default.
• W2963758133 cites W2014661690 @default.
• W2963758133 cites W2016494145 @default.
• W2963758133 cites W2016695839 @default.
• W2963758133 cites W2021196772 @default.
• W2963758133 cites W2038381778 @default.
• W2963758133 cites W2046168168 @default.
• W2963758133 cites W2050367911 @default.
• W2963758133 cites W2056198187 @default.
• W2963758133 cites W2073720177 @default.
• W2963758133 cites W2075654750 @default.
• W2963758133 cites W207637405 @default.
• W2963758133 cites W2081981071 @default.
• W2963758133 cites W2089432790 @default.
• W2963758133 cites W2090056811 @default.
• W2963758133 cites W2091309790 @default.
• W2963758133 cites W2094901027 @default.
• W2963758133 cites W2098692008 @default.
• W2963758133 cites W2109876342 @default.
• W2963758133 cites W2111009247 @default.
• W2963758133 cites W2111991188 @default.
• W2963758133 cites W2112546694 @default.
• W2963758133 cites W2115242586 @default.
• W2963758133 cites W2115772934 @default.
• W2963758133 cites W2116064956 @default.
• W2963758133 cites W2116456749 @default.
• W2963758133 cites W2117530999 @default.
• W2963758133 cites W2117770063 @default.
• W2963758133 cites W2120878532 @default.
• W2963758133 cites W2123176564 @default.
• W2963758133 cites W2124706358 @default.
• W2963758133 cites W2126407572 @default.
• W2963758133 cites W2130686832 @default.
• W2963758133 cites W2132116135 @default.
• W2963758133 cites W2137693597 @default.
• W2963758133 cites W2139951616 @default.
• W2963758133 cites W2147880316 @default.
• W2963758133 cites W2151322733 @default.
• W2963758133 cites W2159931918 @default.
• W2963758133 cites W2401040035 @default.
• W2963758133 cites W2065986539 @default.
• W2963758133 cites W2209826608 @default.
• W2963758133 cites W2248403069 @default.
• W2963758133 doi "https://doi.org/10.1109/tmi.2016.2587836" @default.
• W2963758133 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/27392347" @default.
• W2963758133 hasPublicationYear "2016" @default.
• W2963758133 type Work @default.
• W2963758133 sameAs 2963758133 @default.
• W2963758133 citedByCount "4" @default.
• W2963758133 countsByYear W29637581332017 @default.
• W2963758133 countsByYear W29637581332019 @default.
• W2963758133 countsByYear W29637581332020 @default.
• W2963758133 crossrefType "journal-article" @default.
• W2963758133 hasAuthorship W2963758133A5027990022 @default.
• W2963758133 hasAuthorship W2963758133A5034161060 @default.
• W2963758133 hasAuthorship W2963758133A5034208717 @default.
• W2963758133 hasAuthorship W2963758133A5040284711 @default.
• W2963758133 hasAuthorship W2963758133A5069201516 @default.
• W2963758133 hasBestOaLocation W29637581332 @default.
• W2963758133 hasConcept C104293457 @default.
• W2963758133 hasConcept C11413529 @default.
• W2963758133 hasConcept C115961682 @default.
• W2963758133 hasConcept C120665830 @default.
• W2963758133 hasConcept C121332964 @default.
• W2963758133 hasConcept C126838900 @default.
• W2963758133 hasConcept C13944312 @default.
• W2963758133 hasConcept C141379421 @default.
• W2963758133 hasConcept C143409427 @default.
• W2963758133 hasConcept C149550507 @default.
• W2963758133 hasConcept C154945302 @default.
• W2963758133 hasConcept C30403606 @default.
• W2963758133 hasConcept C41008148 @default.
• W2963758133 hasConcept C55020928 @default.

• next