136 related articles for article (PubMed ID: 34425318)
1. AIFNet: Automatic vascular function estimation for perfusion analysis using deep learning.
de la Rosa E; Sima DM; Menze B; Kirschke JS; Robben D
Med Image Anal; 2021 Dec; 74():102211. PubMed ID: 34425318
[TBL] [Abstract][Full Text] [Related]
2. Delay-sensitive and delay-insensitive deconvolution perfusion-CT: similar ischemic core and penumbra volumes if appropriate threshold selected for each.
Man F; Patrie JT; Xin W; Zhu G; Hou Q; Michel P; Eskandari A; Jovin T; Xian J; Wang Z; Wintermark M
Neuroradiology; 2015 Jun; 57(6):573-81. PubMed ID: 25749851
[TBL] [Abstract][Full Text] [Related]
3. Effect of extended CT perfusion acquisition time on ischemic core and penumbra volume estimation in patients with acute ischemic stroke due to a large vessel occlusion.
Borst J; Marquering HA; Beenen LF; Berkhemer OA; Dankbaar JW; Riordan AJ; Majoie CB;
PLoS One; 2015; 10(3):e0119409. PubMed ID: 25789631
[TBL] [Abstract][Full Text] [Related]
4. Effect of the arterial input function on the measured perfusion values and infarct volumetric in acute cerebral ischemia evaluated by perfusion computed tomography.
Bisdas S; Konstantinou GN; Gurung J; Lehnert T; Donnerstag F; Becker H; Vogl TJ; Koh TS
Invest Radiol; 2007 Mar; 42(3):147-56. PubMed ID: 17287644
[TBL] [Abstract][Full Text] [Related]
5. Toward fully automated processing of dynamic susceptibility contrast perfusion MRI for acute ischemic cerebral stroke.
Kim J; Leira EC; Callison RC; Ludwig B; Moritani T; Magnotta VA; Madsen MT
Comput Methods Programs Biomed; 2010 May; 98(2):204-13. PubMed ID: 20060614
[TBL] [Abstract][Full Text] [Related]
6. Fully Automated and Real-Time Volumetric Measurement of Infarct Core and Penumbra in Diffusion- and Perfusion-Weighted MRI of Patients with Hyper-Acute Stroke.
Lee H; Jung K; Kang DW; Kim N
J Digit Imaging; 2020 Feb; 33(1):262-272. PubMed ID: 31267445
[TBL] [Abstract][Full Text] [Related]
7. Deep Learning Detection of Penumbral Tissue on Arterial Spin Labeling in Stroke.
Wang K; Shou Q; Ma SJ; Liebeskind D; Qiao XJ; Saver J; Salamon N; Kim H; Yu Y; Xie Y; Zaharchuk G; Scalzo F; Wang DJJ
Stroke; 2020 Feb; 51(2):489-497. PubMed ID: 31884904
[TBL] [Abstract][Full Text] [Related]
8. Automatic arterial input function selection in CT and MR perfusion datasets using deep convolutional neural networks.
Winder A; d'Esterre CD; Menon BK; Fiehler J; Forkert ND
Med Phys; 2020 Sep; 47(9):4199-4211. PubMed ID: 32583617
[TBL] [Abstract][Full Text] [Related]
9. Extension of therapeutic window in ischemic stroke by selective mismatch imaging.
Heiss WD; Zaro-Weber O
Int J Stroke; 2019 Jun; 14(4):351-358. PubMed ID: 30935350
[TBL] [Abstract][Full Text] [Related]
10. Perfusion computed tomography thresholds defining ischemic penumbra and infarct core: studies in a rat stroke model.
McLeod DD; Parsons MW; Hood R; Hiles B; Allen J; McCann SK; Murtha L; Calford MB; Levi CR; Spratt NJ
Int J Stroke; 2015 Jun; 10(4):553-9. PubMed ID: 24138577
[TBL] [Abstract][Full Text] [Related]
11. ANTONIA perfusion and stroke. A software tool for the multi-purpose analysis of MR perfusion-weighted datasets and quantitative ischemic stroke assessment.
Forkert ND; Cheng B; Kemmling A; Thomalla G; Fiehler J
Methods Inf Med; 2014; 53(6):469-81. PubMed ID: 25301390
[TBL] [Abstract][Full Text] [Related]
12. Validation of MRI Determination of the Penumbra by PET Measurements in Ischemic Stroke.
Heiss WD; Zaro Weber O
J Nucl Med; 2017 Feb; 58(2):187-193. PubMed ID: 27879370
[TBL] [Abstract][Full Text] [Related]
13. Arterial input function placement for accurate CT perfusion map construction in acute stroke.
Ferreira RM; Lev MH; Goldmakher GV; Kamalian S; Schaefer PW; Furie KL; Gonzalez RG; Sanelli PC
AJR Am J Roentgenol; 2010 May; 194(5):1330-6. PubMed ID: 20410422
[TBL] [Abstract][Full Text] [Related]
14. Defining acute ischemic stroke tissue pathophysiology with whole brain CT perfusion.
Bivard A; Levi C; Krishnamurthy V; Hislop-Jambrich J; Salazar P; Jackson B; Davis S; Parsons M
J Neuroradiol; 2014 Dec; 41(5):307-15. PubMed ID: 24433950
[TBL] [Abstract][Full Text] [Related]
15. Predicting Infarct Core From Computed Tomography Perfusion in Acute Ischemia With Machine Learning: Lessons From the ISLES Challenge.
Hakim A; Christensen S; Winzeck S; Lansberg MG; Parsons MW; Lucas C; Robben D; Wiest R; Reyes M; Zaharchuk G
Stroke; 2021 Jul; 52(7):2328-2337. PubMed ID: 33957774
[TBL] [Abstract][Full Text] [Related]
16. Acute ischemic stroke lesion core segmentation in CT perfusion images using fully convolutional neural networks.
Clèrigues A; Valverde S; Bernal J; Freixenet J; Oliver A; Lladó X
Comput Biol Med; 2019 Dec; 115():103487. PubMed ID: 31629272
[TBL] [Abstract][Full Text] [Related]
17. Influence of the arterial input function on absolute and relative perfusion-weighted imaging penumbral flow detection: a validation with ¹⁵O-water positron emission tomography.
Zaro-Weber O; Moeller-Hartmann W; Heiss WD; Sobesky J
Stroke; 2012 Feb; 43(2):378-85. PubMed ID: 22135071
[TBL] [Abstract][Full Text] [Related]
18. Is Perfusion MRI without Deconvolution Reliable for Mismatch Detection in Acute Stroke? Validation with 15O-Positron Emission Tomography.
Reimer J; Montag C; Schuster A; Moeller-Hartmann W; Sobesky J; Heiss WD; Zaro-Weber O
Cerebrovasc Dis; 2018; 46(1-2):16-23. PubMed ID: 30007980
[TBL] [Abstract][Full Text] [Related]
19. Trial design and reporting standards for intra-arterial cerebral thrombolysis for acute ischemic stroke.
Higashida RT; Furlan AJ; Roberts H; Tomsick T; Connors B; Barr J; Dillon W; Warach S; Broderick J; Tilley B; Sacks D; ;
Stroke; 2003 Aug; 34(8):e109-37. PubMed ID: 12869717
[TBL] [Abstract][Full Text] [Related]
20. Investigating potentially salvageable penumbra tissue in an in vivo model of transient ischemic stroke using sodium, diffusion, and perfusion magnetic resonance imaging.
Wetterling F; Chatzikonstantinou E; Tritschler L; Meairs S; Fatar M; Schad LR; Ansar S
BMC Neurosci; 2016 Dec; 17(1):82. PubMed ID: 27927188
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
