Dynamic signal variation among different time frames in arterial region in the selected ROI in different reconstruction schemes at AF = 8 and 16 respectively for Dataset-1.
<p>The proposed method provides better dynamic contrast than the other two techniques due to additional sparsity constraint in L+S reconstruction.</p>
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2025
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| _version_ | 1852022697369796608 |
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| author | Faisal Najeeb (20542714) |
| author2 | Kashif Amjad (7665488) Irfan Ullah (847820) Hammad Omer (17412783) |
| author2_role | author author author |
| author_facet | Faisal Najeeb (20542714) Kashif Amjad (7665488) Irfan Ullah (847820) Hammad Omer (17412783) |
| author_role | author |
| dc.creator.none.fl_str_mv | Faisal Najeeb (20542714) Kashif Amjad (7665488) Irfan Ullah (847820) Hammad Omer (17412783) |
| dc.date.none.fl_str_mv | 2025-02-14T18:28:51Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pone.0318102.t004 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/dataset/Dynamic_signal_variation_among_different_time_frames_in_arterial_region_in_the_selected_ROI_in_different_reconstruction_schemes_at_AF_8_and_16_respectively_for_Dataset-1_/28419560 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Cell Biology Physiology Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Chemical Sciences not elsewhere classified Physical Sciences not elsewhere classified Information Systems not elsewhere classified rank plus sparse nonlinear conjugate gradient high computational burden div >< p arterial signal intensity repeated nufft gridding radial sampling pattern multiple sparsity constraints convergence analysis shows improved temporal resolution e ., grasp reconstructing dynamic contrast dce mr images coil mri data reconstruction time due highly accelerated free grasp reconstruction technique mri reconstruction techniques angle radial data radial data dynamic contrast reconstruction time sparsity transform radial dce grog gridding convergence error mri reconstruction temporal incoherence accelerated golden reconstruction results grasp include grasp ). parallel mri mri datasets mri ). vivo dce variable acceleration selected region results show proposed method paper introduces optimization problem optimal solution novel approach monotone fista method combines mean values major limitations contemporary method compressed sensing cartesian grid address limitations acceleration capability |
| dc.title.none.fl_str_mv | Dynamic signal variation among different time frames in arterial region in the selected ROI in different reconstruction schemes at AF = 8 and 16 respectively for Dataset-1. |
| dc.type.none.fl_str_mv | Dataset info:eu-repo/semantics/publishedVersion dataset |
| description | <p>The proposed method provides better dynamic contrast than the other two techniques due to additional sparsity constraint in L+S reconstruction.</p> |
| eu_rights_str_mv | openAccess |
| id | Manara_3d71bfb68b6454281cdc61dadcdbba91 |
| identifier_str_mv | 10.1371/journal.pone.0318102.t004 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/28419560 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Dynamic signal variation among different time frames in arterial region in the selected ROI in different reconstruction schemes at AF = 8 and 16 respectively for Dataset-1.Faisal Najeeb (20542714)Kashif Amjad (7665488)Irfan Ullah (847820)Hammad Omer (17412783)Cell BiologyPhysiologyBiological Sciences not elsewhere classifiedMathematical Sciences not elsewhere classifiedChemical Sciences not elsewhere classifiedPhysical Sciences not elsewhere classifiedInformation Systems not elsewhere classifiedrank plus sparsenonlinear conjugate gradienthigh computational burdendiv >< parterial signal intensityrepeated nufft griddingradial sampling patternmultiple sparsity constraintsconvergence analysis showsimproved temporal resolutione ., graspreconstructing dynamic contrastdce mr imagescoil mri datareconstruction time duehighly accelerated freegrasp reconstruction techniquemri reconstruction techniquesangle radial dataradial datadynamic contrastreconstruction timesparsity transformradial dcegrog griddingconvergence errormri reconstructiontemporal incoherenceaccelerated goldenreconstruction resultsgrasp includegrasp ).parallel mrimri datasetsmri ).vivo dcevariable accelerationselected regionresults showproposed methodpaper introducesoptimization problemoptimal solutionnovel approachmonotone fistamethod combinesmean valuesmajor limitationscontemporary methodcompressed sensingcartesian gridaddress limitationsacceleration capability<p>The proposed method provides better dynamic contrast than the other two techniques due to additional sparsity constraint in L+S reconstruction.</p>2025-02-14T18:28:51ZDatasetinfo:eu-repo/semantics/publishedVersiondataset10.1371/journal.pone.0318102.t004https://figshare.com/articles/dataset/Dynamic_signal_variation_among_different_time_frames_in_arterial_region_in_the_selected_ROI_in_different_reconstruction_schemes_at_AF_8_and_16_respectively_for_Dataset-1_/28419560CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/284195602025-02-14T18:28:51Z |
| spellingShingle | Dynamic signal variation among different time frames in arterial region in the selected ROI in different reconstruction schemes at AF = 8 and 16 respectively for Dataset-1. Faisal Najeeb (20542714) Cell Biology Physiology Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Chemical Sciences not elsewhere classified Physical Sciences not elsewhere classified Information Systems not elsewhere classified rank plus sparse nonlinear conjugate gradient high computational burden div >< p arterial signal intensity repeated nufft gridding radial sampling pattern multiple sparsity constraints convergence analysis shows improved temporal resolution e ., grasp reconstructing dynamic contrast dce mr images coil mri data reconstruction time due highly accelerated free grasp reconstruction technique mri reconstruction techniques angle radial data radial data dynamic contrast reconstruction time sparsity transform radial dce grog gridding convergence error mri reconstruction temporal incoherence accelerated golden reconstruction results grasp include grasp ). parallel mri mri datasets mri ). vivo dce variable acceleration selected region results show proposed method paper introduces optimization problem optimal solution novel approach monotone fista method combines mean values major limitations contemporary method compressed sensing cartesian grid address limitations acceleration capability |
| status_str | publishedVersion |
| title | Dynamic signal variation among different time frames in arterial region in the selected ROI in different reconstruction schemes at AF = 8 and 16 respectively for Dataset-1. |
| title_full | Dynamic signal variation among different time frames in arterial region in the selected ROI in different reconstruction schemes at AF = 8 and 16 respectively for Dataset-1. |
| title_fullStr | Dynamic signal variation among different time frames in arterial region in the selected ROI in different reconstruction schemes at AF = 8 and 16 respectively for Dataset-1. |
| title_full_unstemmed | Dynamic signal variation among different time frames in arterial region in the selected ROI in different reconstruction schemes at AF = 8 and 16 respectively for Dataset-1. |
| title_short | Dynamic signal variation among different time frames in arterial region in the selected ROI in different reconstruction schemes at AF = 8 and 16 respectively for Dataset-1. |
| title_sort | Dynamic signal variation among different time frames in arterial region in the selected ROI in different reconstruction schemes at AF = 8 and 16 respectively for Dataset-1. |
| topic | Cell Biology Physiology Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Chemical Sciences not elsewhere classified Physical Sciences not elsewhere classified Information Systems not elsewhere classified rank plus sparse nonlinear conjugate gradient high computational burden div >< p arterial signal intensity repeated nufft gridding radial sampling pattern multiple sparsity constraints convergence analysis shows improved temporal resolution e ., grasp reconstructing dynamic contrast dce mr images coil mri data reconstruction time due highly accelerated free grasp reconstruction technique mri reconstruction techniques angle radial data radial data dynamic contrast reconstruction time sparsity transform radial dce grog gridding convergence error mri reconstruction temporal incoherence accelerated golden reconstruction results grasp include grasp ). parallel mri mri datasets mri ). vivo dce variable acceleration selected region results show proposed method paper introduces optimization problem optimal solution novel approach monotone fista method combines mean values major limitations contemporary method compressed sensing cartesian grid address limitations acceleration capability |