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dc.contributor.authorFushimi, Yasutakaja
dc.contributor.authorFujimoto, Kojija
dc.contributor.authorOkada, Tomohisaja
dc.contributor.authorYamamoto, Akiraja
dc.contributor.authorTanaka, Toshiyukija
dc.contributor.authorKikuchi, Takayukija
dc.contributor.authorMiyamoto, Susumuja
dc.contributor.authorTogashi, Kaorija
dc.contributor.alternative伏見, 育崇ja
dc.date.accessioned2015-12-22T00:37:45Z-
dc.date.available2015-12-22T00:37:45Z-
dc.date.issued2016-04ja
dc.identifier.issn0020-9996ja
dc.identifier.urihttp://hdl.handle.net/2433/202829-
dc.description.abstract[Objectives] The aims of this study were to optimize parameters for Nesterov algorithm (NESTA) in reconstruction of 3-dimensional time-of-flight (TOF) magnetic resonance angiography (MRA) at 3 T by performing an exhaustive search and to validate the performance of compressed sensing (CS) by applying it to data from cerebral aneurysms and evaluating diagnostic quality. [Materials and Methods] Three-dimensional TOF-MRA was obtained using a 3 T MR system with a 32-channel head coil for both healthy volunteers and 10 patients (11 aneurysms). No undersampling was applied for imaging parameters, including parallel imaging or other partial Fourier sampling. In the first step, the experimental setup was for healthy subjects to optimize CS parameters of NESTA and the undersampling mask pattern, so 24, 696 different reconstruction conditions were surveyed for sampling rates of 8.0X and 5.0X. Mean square error (MSE) was calculated for each image reconstructed with the undersampling pattern and CS parameter sets. Evaluation was by normalized MSE, edge sharpness for MRA reconstructed using fully sampled data (MRA-full), zero-filled MRA (ZF-MRA) with Poisson disk undersampling mask, and CS-MRA (5.0X and 8.0X) with iterations of 5, 10, 15, 20, 25, 30, 35, 40, 45, and 50. CS-MRA (5.0X and 8.0X) with 5, 10, and 50 iterations of the sampling pattern and CS parameter set with the lowest MSE were visually inspected by 2 neuroradiologists to check the diagnostic quality. [Results] The sampling pattern and CS parameter set with the lowest MSE were identical for both CS-MRA 5.0X and CS-MRA 8.0X. At the initial 5 to 15 iterations, MSE of both sampling rates greatly decreased from that of ZF-MRA. For subsequent iterations, the decrease in MSE was relatively small. For CS-MRA, sharpness greatly increased from that of ZF-MRA within the initial 5 to 15 iterations, followed by slight increases with further iterations. Two neuroradiologists graded most aneurysms as excellent, with the exception of 1 to 4 aneurysms recognized as good by 1 observer in CS-MRA (8.0X). [Conclusions] Optimization of NESTA in the reconstruction of 3-dimensional TOF-MRA was conducted, and the parameters and undersampling mask with the lowest MSE were determined. Caliber measurement should be performed with CS (5.0X) with 25 or 30 iterations. Most cerebral aneurysms were sufficiently recognized using CS-MRA (5.0X) or CS-MRA (8.0X) with 10 iterations.ja
dc.format.mimetypeapplication/pdfja
dc.language.isoengja
dc.publisherWolters Kluwerja
dc.rightsThis is a non-final version of an article published in final form in Fushimi Yasutaka, Fujimoto Koji, Okada Tomohisa, Yamamoto Akira, Tanaka Toshiyuki, Kikuchi Takayuki, Miyamoto Susumu, Togashi Kaori. Compressed Sensing 3-Dimensional Time-of-Flight Magnetic Resonance Angiography for Cerebral Aneurysms: Optimization and Evaluation.ja
dc.rightsThe full-text file will be made open to the public after 1 April 2017 in accordance with publisher's 'Terms and Conditions for Self-Archiving'.ja
dc.rightsこの論文は出版社版でありません。引用の際には出版社版をご確認ご利用ください。This is not the published version. Please cite only the published version.ja
dc.subjectcompressed sensingja
dc.subjecttime-of-flight magnetic resonance angiographyja
dc.subjectNESTAja
dc.subjectcerebral aneurysmja
dc.subjectneuroradiologyja
dc.titleCompressed Sensing 3-Dimensional Time-of-Flight Magnetic Resonance Angiography for Cerebral Aneurysms: Optimization and Evaluation.ja
dc.type.niitypeJournal Articleja
dc.identifier.jtitleInvestigative radiologyja
dc.identifier.volume51ja
dc.identifier.issue4ja
dc.identifier.spage228ja
dc.identifier.epage235ja
dc.relation.doi10.1097/RLI.0000000000000226ja
dc.textversionauthorja
dc.startdate.bitstreamsavailable2017-04-01ja
dc.identifier.pmid26606551ja
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