Matches in SemOpenAlex for { <https://semopenalex.org/work/W2060550257> ?p ?o ?g. }
Showing items 1 to 79 of
79
with 100 items per page.
- W2060550257 abstract "Inhomogeneities in the fields of magnetic resonance (MR) systems cause the statistical characteristics of tissue classes to vary within the resulting MR images. These inhomogeneities must be taken into consideration when designing an algorithm for automated tissue classification. The traditional approach in image processing would be to apply a gain field correction technique to remove the inhomogeneities from the images. Statistical solutions would most likely focus on including spatial information in the feature space of the classifier so that it can be trained to model and adjust for the inhomogeneities. This paper will prove that neither of these general approaches offer a complete and viable solution. This paper will prove that neither of these general approaches offers a complete and viable solution. This paper will in fact show that not only do the inhomogeneities modify the local mean and variance of a tissue class as is commonly accepted, but the inhomogeneities also induce a rotation of the covariance matrices. As a result, gain field correction techniques cannot compensate for all of the artifacts associated with inhomogeneities. Additionally, it will be demonstrated that while statistical methods can capture all of the anomalies, the across patient and across time variations of the inhomogeneities necessitate frequent and time consuming retraining of any Bayesian classifier. This paper introduces a two stage process for MR tissue classification which addresses both of these issues by utilizing techniques from both image processing and statistics. First, a band-pass mean field corrector is used to alleviate the mean and variance deformations in each image. Then, using a kernel mixture model classifier couple to an interactive data augmentation tool, the user can selectively refine and explore the class representations for localized regions of the image and thereby capture the rotation of the covariance matrices. This approach is shown to outperform Gaussian classifiers and 4D mixture modeling techniques when both the final accuracy and user time requirements are considered." @default.
- W2060550257 created "2016-06-24" @default.
- W2060550257 creator A5001892061 @default.
- W2060550257 creator A5045009724 @default.
- W2060550257 creator A5057564161 @default.
- W2060550257 creator A5091277767 @default.
- W2060550257 date "1994-09-09" @default.
- W2060550257 modified "2023-09-23" @default.
- W2060550257 title "<title>Spatially invariant classification of tissues in MR images</title>" @default.
- W2060550257 cites W1541559353 @default.
- W2060550257 cites W1985294812 @default.
- W2060550257 cites W1992402718 @default.
- W2060550257 cites W2114186340 @default.
- W2060550257 cites W2115772934 @default.
- W2060550257 cites W2131119563 @default.
- W2060550257 cites W2166698530 @default.
- W2060550257 cites W3017143921 @default.
- W2060550257 doi "https://doi.org/10.1117/12.185196" @default.
- W2060550257 hasPublicationYear "1994" @default.
- W2060550257 type Work @default.
- W2060550257 sameAs 2060550257 @default.
- W2060550257 citedByCount "13" @default.
- W2060550257 countsByYear W20605502572012 @default.
- W2060550257 crossrefType "proceedings-article" @default.
- W2060550257 hasAuthorship W2060550257A5001892061 @default.
- W2060550257 hasAuthorship W2060550257A5045009724 @default.
- W2060550257 hasAuthorship W2060550257A5057564161 @default.
- W2060550257 hasAuthorship W2060550257A5091277767 @default.
- W2060550257 hasBestOaLocation W20605502572 @default.
- W2060550257 hasConcept C105795698 @default.
- W2060550257 hasConcept C115961682 @default.
- W2060550257 hasConcept C153180895 @default.
- W2060550257 hasConcept C154945302 @default.
- W2060550257 hasConcept C178650346 @default.
- W2060550257 hasConcept C31972630 @default.
- W2060550257 hasConcept C33923547 @default.
- W2060550257 hasConcept C41008148 @default.
- W2060550257 hasConcept C83665646 @default.
- W2060550257 hasConcept C9417928 @default.
- W2060550257 hasConcept C95623464 @default.
- W2060550257 hasConceptScore W2060550257C105795698 @default.
- W2060550257 hasConceptScore W2060550257C115961682 @default.
- W2060550257 hasConceptScore W2060550257C153180895 @default.
- W2060550257 hasConceptScore W2060550257C154945302 @default.
- W2060550257 hasConceptScore W2060550257C178650346 @default.
- W2060550257 hasConceptScore W2060550257C31972630 @default.
- W2060550257 hasConceptScore W2060550257C33923547 @default.
- W2060550257 hasConceptScore W2060550257C41008148 @default.
- W2060550257 hasConceptScore W2060550257C83665646 @default.
- W2060550257 hasConceptScore W2060550257C9417928 @default.
- W2060550257 hasConceptScore W2060550257C95623464 @default.
- W2060550257 hasLocation W20605502571 @default.
- W2060550257 hasLocation W20605502572 @default.
- W2060550257 hasOpenAccess W2060550257 @default.
- W2060550257 hasPrimaryLocation W20605502571 @default.
- W2060550257 hasRelatedWork W122293826 @default.
- W2060550257 hasRelatedWork W1575353542 @default.
- W2060550257 hasRelatedWork W1598370942 @default.
- W2060550257 hasRelatedWork W1874027545 @default.
- W2060550257 hasRelatedWork W2015513598 @default.
- W2060550257 hasRelatedWork W2025641888 @default.
- W2060550257 hasRelatedWork W2032398883 @default.
- W2060550257 hasRelatedWork W2034341440 @default.
- W2060550257 hasRelatedWork W2063163870 @default.
- W2060550257 hasRelatedWork W2073087131 @default.
- W2060550257 hasRelatedWork W2104861988 @default.
- W2060550257 hasRelatedWork W2115772934 @default.
- W2060550257 hasRelatedWork W2119554444 @default.
- W2060550257 hasRelatedWork W2130520030 @default.
- W2060550257 hasRelatedWork W2162596999 @default.
- W2060550257 hasRelatedWork W2162630772 @default.
- W2060550257 hasRelatedWork W2163883637 @default.
- W2060550257 hasRelatedWork W2164371826 @default.
- W2060550257 hasRelatedWork W2168510631 @default.
- W2060550257 hasRelatedWork W3102998284 @default.
- W2060550257 isParatext "false" @default.
- W2060550257 isRetracted "false" @default.
- W2060550257 magId "2060550257" @default.
- W2060550257 workType "article" @default.