Matches in SemOpenAlex for { <https://semopenalex.org/work/W2541944567> ?p ?o ?g. }
Showing items 1 to 97 of
97
with 100 items per page.
- W2541944567 abstract "MR images reconstruction need many samples that are sequentially sampled by phase encoding gradients in MRI system. MRI takes long scan time, therefore, many researchers have been studied to reduce scan time. Especially, the Compressed Sensing (CS) that is used sparse images and reconstruction from fewer sampling data which the k-space is not fully sampled. Recently, an iterative technique based on Bregman method is developed for denoising. The Bregman iteration method improves on the Total Variation (TV) regularization by gradually recovering the fine scale structures that are usually lost in the TV regularization. In this study, we studied sparse sampling image reconstruction using Bregman iteration at low tesla MRI system for improving the temporal resolution and validated the usefulness. The image was obtained at 0.32T MRI scanner (Magfinder II, Genpia, Korea) using 2D T1-weighed spin-echo pulse sequence with phantom and in-vivo human brain in the head coil. We applied the random k-space sampling and sampling ratios are determined by half of fully sampled k-space. The Bregman iteration was used to generate the final images based on the reduced data. The number of Bregman iterations used for the reconstruction was minimum 1 to maximum 100. We also calculated Root Mean Square Error (RMSE) values from error images that were performed according to number of bregman iterations. The results which are reconstructed images using the bregman iteration to sparse sampling image shown well reconstruction images compared with original images. Moreover, the RMSE values can be seen that sparse reconstructed phantom image and human images are converge to the original image. We confirmed the feasibility of sparse sampling image reconstruction methods using Bregman iteration at low tesla MRI system and obtained good results. Although our results used half of sampling ratio, this method will helpful to increase the temporal resolution at low tesla MRI system." @default.
- W2541944567 created "2016-11-04" @default.
- W2541944567 creator A5016517700 @default.
- W2541944567 creator A5029406628 @default.
- W2541944567 creator A5049218781 @default.
- W2541944567 creator A5051416913 @default.
- W2541944567 creator A5056807984 @default.
- W2541944567 creator A5070081604 @default.
- W2541944567 creator A5084192513 @default.
- W2541944567 creator A5084786303 @default.
- W2541944567 creator A5055037150 @default.
- W2541944567 date "2011-10-01" @default.
- W2541944567 modified "2023-10-06" @default.
- W2541944567 title "Sparse sampling MR image reconstruction using bregman iteration: A feasibility study at low tesla MRI system" @default.
- W2541944567 cites W2101675075 @default.
- W2541944567 cites W2102462706 @default.
- W2541944567 cites W2105199122 @default.
- W2541944567 cites W2107906890 @default.
- W2541944567 cites W2109357213 @default.
- W2541944567 cites W2148232185 @default.
- W2541944567 cites W2296616510 @default.
- W2541944567 cites W2167233877 @default.
- W2541944567 doi "https://doi.org/10.1109/nssmic.2011.6152629" @default.
- W2541944567 hasPublicationYear "2011" @default.
- W2541944567 type Work @default.
- W2541944567 sameAs 2541944567 @default.
- W2541944567 citedByCount "1" @default.
- W2541944567 countsByYear W25419445672016 @default.
- W2541944567 crossrefType "proceedings-article" @default.
- W2541944567 hasAuthorship W2541944567A5016517700 @default.
- W2541944567 hasAuthorship W2541944567A5029406628 @default.
- W2541944567 hasAuthorship W2541944567A5049218781 @default.
- W2541944567 hasAuthorship W2541944567A5051416913 @default.
- W2541944567 hasAuthorship W2541944567A5055037150 @default.
- W2541944567 hasAuthorship W2541944567A5056807984 @default.
- W2541944567 hasAuthorship W2541944567A5070081604 @default.
- W2541944567 hasAuthorship W2541944567A5084192513 @default.
- W2541944567 hasAuthorship W2541944567A5084786303 @default.
- W2541944567 hasConcept C104293457 @default.
- W2541944567 hasConcept C105795698 @default.
- W2541944567 hasConcept C106131492 @default.
- W2541944567 hasConcept C11413529 @default.
- W2541944567 hasConcept C120665830 @default.
- W2541944567 hasConcept C121332964 @default.
- W2541944567 hasConcept C124851039 @default.
- W2541944567 hasConcept C139945424 @default.
- W2541944567 hasConcept C140779682 @default.
- W2541944567 hasConcept C141379421 @default.
- W2541944567 hasConcept C154945302 @default.
- W2541944567 hasConcept C159694833 @default.
- W2541944567 hasConcept C2776135515 @default.
- W2541944567 hasConcept C31972630 @default.
- W2541944567 hasConcept C33923547 @default.
- W2541944567 hasConcept C41008148 @default.
- W2541944567 hasConceptScore W2541944567C104293457 @default.
- W2541944567 hasConceptScore W2541944567C105795698 @default.
- W2541944567 hasConceptScore W2541944567C106131492 @default.
- W2541944567 hasConceptScore W2541944567C11413529 @default.
- W2541944567 hasConceptScore W2541944567C120665830 @default.
- W2541944567 hasConceptScore W2541944567C121332964 @default.
- W2541944567 hasConceptScore W2541944567C124851039 @default.
- W2541944567 hasConceptScore W2541944567C139945424 @default.
- W2541944567 hasConceptScore W2541944567C140779682 @default.
- W2541944567 hasConceptScore W2541944567C141379421 @default.
- W2541944567 hasConceptScore W2541944567C154945302 @default.
- W2541944567 hasConceptScore W2541944567C159694833 @default.
- W2541944567 hasConceptScore W2541944567C2776135515 @default.
- W2541944567 hasConceptScore W2541944567C31972630 @default.
- W2541944567 hasConceptScore W2541944567C33923547 @default.
- W2541944567 hasConceptScore W2541944567C41008148 @default.
- W2541944567 hasLocation W25419445671 @default.
- W2541944567 hasOpenAccess W2541944567 @default.
- W2541944567 hasPrimaryLocation W25419445671 @default.
- W2541944567 hasRelatedWork W1672873702 @default.
- W2541944567 hasRelatedWork W1986471120 @default.
- W2541944567 hasRelatedWork W2007795531 @default.
- W2541944567 hasRelatedWork W2014217675 @default.
- W2541944567 hasRelatedWork W2071380095 @default.
- W2541944567 hasRelatedWork W2091145475 @default.
- W2541944567 hasRelatedWork W2103958738 @default.
- W2541944567 hasRelatedWork W2326601094 @default.
- W2541944567 hasRelatedWork W2334975140 @default.
- W2541944567 hasRelatedWork W2460349182 @default.
- W2541944567 hasRelatedWork W2473908809 @default.
- W2541944567 hasRelatedWork W2508046624 @default.
- W2541944567 hasRelatedWork W2751015982 @default.
- W2541944567 hasRelatedWork W2946709541 @default.
- W2541944567 hasRelatedWork W2965926071 @default.
- W2541944567 hasRelatedWork W3013066578 @default.
- W2541944567 hasRelatedWork W3028801270 @default.
- W2541944567 hasRelatedWork W3037946967 @default.
- W2541944567 hasRelatedWork W3194977282 @default.
- W2541944567 hasRelatedWork W2857033085 @default.
- W2541944567 isParatext "false" @default.
- W2541944567 isRetracted "false" @default.
- W2541944567 magId "2541944567" @default.
- W2541944567 workType "article" @default.