medRxiv : the preprint server for health sciences
Authors: Qiao YS, Blackwell TL, Cawthon PM, Coen PM, Cummings SR, Distefano G, Farsijani S, Forman DE, Goodpaster BH, Kritchevsky SB, Mau T, Toledo FGS, Newman AB, Glynn NW
bioRxiv : the preprint server for biology
Authors: Gygi JP, Maguire C, Patel RK, Shinde P, Konstorum A, Shannon CP, Xu L, Hoch A, Jayavelu ND, Network I, Haddad EK, Reed EF, Kraft M, McComsey GA, Metcalf J, Ozonoff A, Esserman D, Cairns CB, Rouphael N, Bosinger SE, Kim-Schulze S, Krammer F, Rosen LB, van Bakel H, Wilson M, Eckalbar W, Maecker H, Langelier CR, Steen H, Altman MC, Montgomery RR, Levy O, Melamed E, Pulendran B, Diray-Arce J, Smolen KK, Fragiadakis GK, Becker PM, Augustine AD, Sekaly RP, Ehrlich LIR, Fourati S, Peters B, Kleinstein SH, Guan L
Journal of applied gerontology : the official journal of the Southern Gerontological Society
Authors: Simone T, Peltz C, Rosenberg DE, Barnes DE, Fleckenstein LE, Dublin S, Yaffe K
JAMA internal medicine
Authors: Lam K, Cenzer I, Levy CR, Matlock DD, Smith AK, Covinsky KE
Chronic obstructive pulmonary diseases (Miami, Fla.)
Authors: Koch AL, Shing TL, Namen A, Couper D, Smith B, Barr RG, Bhatt S, Putcha N, Baugh A, Saha AK, Ziedler M, Comellas A, Cooper CB, Barjaktarevic I, Bowler RP, Han MK, Kim V, Paine R, Kanner RE, Krishnan JA, Martinez FJ, Woodruff PG, Hansel NN, Hoffman EA, Peters SP, Ortega VE, SubPopulations and InteRmediate Outcome Measures in COPD Study (SPIROMICS) Investigators
The Journal of pediatrics
Authors: Gutierrez SA, Pathak S, Raghu V, Shui A, Huang CY, Rhee S, McKenzie-Sampson S, Lai JC, Wadhwani SI
Clinical journal of the American Society of Nephrology : CJASN
Authors: Ku E, Copeland T, Chen L, Weir MR, McCulloch CE, Johansen KL, Goussous N, Savant JD, Lopez I, Amaral S
JAMA neurology
Authors: Abdelhak A, Benkert P, Schaedelin S, Boscardin WJ, Cordano C, Oechtering J, Ananth K, Granziera C, Melie-Garcia L, Montes SC, Beaudry-Richard A, Achtnichts L, Oertel FC, Lalive PH, Leppert D, Müller S, Henry RG, Pot C, Matthias A, Salmen A, Oksenberg JR, Disanto G, Zecca C, D'Souza M, Du Pasquier R, Bridel C, Gobbi C, Kappos L, Hauser SL, Cree BAC, Kuhle J, Green AJ, UCSF, MS EPIC, and the SMSC Study Teams
Volume 37 of Issue 2 | NMR in biomedicine
Authors: Wang J, Awad M, Zhou R, Wang Z, Wang X, Feng X, Yang Y, Meyer C, Kramer CM, Salerno M
The objective of the current study was to develop and evaluate a DEep learning-based rapid Spiral Image REconstruction (DESIRE) and deep learning (DL)-based segmentation approach to quantify the left ventricular ejection fraction (LVEF) for high-resolution spiral real-time cine imaging, including 2D balanced steady-state free precession imaging at 1.5 T and gradient echo (GRE) imaging at 1.5 and 3 T. A 3D U-Net-based image reconstruction network and 2D U-Net-based image segmentation network were proposed and evaluated. Low-rank plus sparse (L+S) served as the reference for the image reconstruction network and manual contouring of the left ventricle was the reference of the segmentation network. To assess the image reconstruction quality, structural similarity index, peak signal-to-noise ratio, normalized root-mean-square error, and blind grading by two experienced cardiologists (5: excellent; 1: poor) were performed. To assess the segmentation performance, quantification of the LVEF on GRE imaging at 3 T was compared with the quantification from manual contouring. Excellent performance was demonstrated by the proposed technique. In terms of image quality, there was no difference between L+S and the proposed DESIRE technique. For quantification analysis, the proposed DL method was not different to the manual segmentation method (p > 0.05) in terms of quantification of LVEF. The reconstruction time for DESIRE was ~32 s (including nonuniform fast Fourier transform [NUFFT]) per dynamic series (40 frames), while the reconstruction time of L+S with GPU acceleration was approximately 3 min. The DL segmentation takes less than 5 s. In conclusion, the proposed DL-based image reconstruction and quantification techniques enabled 1-min image reconstruction for the whole heart and quantification with automatic reconstruction and quantification of the left ventricle function for high-resolution spiral real-time cine imaging with excellent performance.
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medRxiv : the preprint server for health sciences
Authors: Lukasiewicz CJ, Tranah GJ, Evans DS, Coen PM, Barnes HN, Huo Z, Esser KA, Lane NE, Kritchevsky SB, Newman AB, Cummings SR, Cawthon PM, Hepple RT
