Direct estimation of tracer‐kinetic parameter maps from highly undersampled brain dynamic contrast enhanced MRI
Sign Up to like & getrecommendations! Published in 2017 at "Magnetic Resonance in Medicine"
DOI: 10.1002/mrm.26540
Abstract: The purpose of this work was to develop and evaluate a T1‐weighted dynamic contrast enhanced (DCE) MRI methodology where tracer‐kinetic (TK) parameter maps are directly estimated from undersampled (k,t)‐space data. read more here.
Keywords: kinetic parameter; tracer kinetic; dynamic contrast; contrast enhanced ... See more keywords
Erratum to: Fast quantitative parameter maps without fitting: Integration yields accurate mono‐exponential signal decay rates (Magn Reson Med 2018;79:2978–2985)
Sign Up to like & getrecommendations! Published in 2019 at "Magnetic Resonance in Medicine"
DOI: 10.1002/mrm.27405
Abstract: It should be noted that the integral of Eq. [2] was approximated by the Riemann sum for a simplified presentation of Eqs. [10] ‐ [12]. Other methods, such as the midpoint integral interpolation, approximate the… read more here.
Keywords: maps without; quantitative parameter; erratum fast; without fitting ... See more keywords
Daily flow simulation in Thailand Part I: Testing a distributed hydrological model with seamless parameter maps based on global data
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Hydrology: Regional Studies"
DOI: 10.1016/j.ejrh.2021.100794
Abstract: Abstract Study region Upper region of the Greater Chao Phraya River (GCPR) basin in Thailand. Study focus This study presents a (∼1 km resolution) distributed hydrological model, wflow_sbm, with global spatial data and parameterization for estimating… read more here.
Keywords: parameter maps; distributed hydrological; parameter; reservoir ... See more keywords
Learned Fitting of Spatially Varying BRDFs
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DOI: 10.1111/cgf.13782
Abstract: The use of spatially varying reflectance models (SVBRDF) is the state of the art in physically based rendering and the ultimate goal is to acquire them from real world samples. Recently several promising deep learning… read more here.
Keywords: fitting spatially; varying brdfs; parameter maps; learned fitting ... See more keywords
Texture Analysis Using Semiquantitative Kinetic Parameter Maps from DCE-MRI: Preoperative Prediction of HER2 Status in Breast Cancer
Sign Up to like & getrecommendations! Published in 2021 at "Frontiers in Oncology"
DOI: 10.3389/fonc.2021.675160
Abstract: Objective To evaluate whether texture features derived from semiquantitative kinetic parameter maps based on breast dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) can determine human epidermal growth factor receptor 2 (HER2) status of patients with breast… read more here.
Keywords: dce mri; kinetic parameter; breast cancer; parameter maps ... See more keywords