Repeatability of radiomic features in magnetic resonance imaging of glioblastoma: Test–retest and image registration analyses

Purpose To assess the repeatability of radiomic features in magnetic resonance (MR) imaging of glioblastoma (GBM) tumors with respect to test–retest, different image registration approaches and inhomogeneity bias field correction. Methods We analyzed MR images of 17 GBM patients including T1‐ and T2...

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Veröffentlicht in:	Medical physics (Lancaster) 2020-09, Vol.47 (9), p.4265-4280
Hauptverfasser:	Shiri, Isaac, Hajianfar, Ghasem, Sohrabi, Ahmad, Abdollahi, Hamid, P. Shayesteh, Sajad, Geramifar, Parham, Zaidi, Habib, Oveisi, Mehrdad, Rahmim, Arman
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms bias correction glioblastoma Glioblastoma - diagnostic imaging Humans Image Processing, Computer-Assisted image registration Magnetic Resonance Imaging MRI Normal Distribution radiomics repeatability test–retest
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