mrpro.phantoms.brainweb.VALUES_3T_RANDOMIZED

mrpro.phantoms.brainweb.VALUES_3T_RANDOMIZED: Mapping[Literal['skl', 'gry', 'wht', 'csf', 'mrw', 'dura', 'fat', 'fat2', 'mus', 'm-s', 'ves'], BrainwebTissue] = mappingproxy({'skl': BrainwebTissue(t1=(0.0, 2.0), t2=(0.0, 0.01), m0_abs=(0.0, 0.05), m0_phase=(-0.2, 0.2)), 'gry': BrainwebTissue(t1=(1.2, 2.0), t2=(0.08, 0.12), m0_abs=(0.7, 1.0), m0_phase=(-0.2, 0.2)), 'wht': BrainwebTissue(t1=(0.8, 1.5), t2=(0.06, 0.1), m0_abs=(0.5, 0.9), m0_phase=(-0.2, 0.2)), 'csf': BrainwebTissue(t1=(2.0, 4.0), t2=(1.3, 2.0), m0_abs=(0.9, 1.0), m0_phase=(-0.2, 0.2)), 'mrw': BrainwebTissue(t1=(0.4, 0.6), t2=(0.06, 0.1), m0_abs=(0.7, 1.0), m0_phase=(-0.2, 0.2)), 'dura': BrainwebTissue(t1=(2.0, 2.8), t2=(0.2, 0.5), m0_abs=(0.9, 1.0), m0_phase=(-0.2, 0.2)), 'fat': BrainwebTissue(t1=(0.3, 0.5), t2=(0.06, 0.1), m0_abs=(0.9, 1.0), m0_phase=(-0.2, 0.2)), 'fat2': BrainwebTissue(t1=(0.4, 0.6), t2=(0.06, 0.1), m0_abs=(0.6, 0.9), m0_phase=(-0.2, 0.2)), 'mus': BrainwebTissue(t1=(1.2, 1.5), t2=(0.04, 0.06), m0_abs=(0.9, 1.0), m0_phase=(-0.2, 0.2)), 'm-s': BrainwebTissue(t1=(0.5, 0.9), t2=(0.3, 0.5), m0_abs=(0.9, 1.0), m0_phase=(-0.2, 0.2)), 'ves': BrainwebTissue(t1=(1.7, 2.1), t2=(0.2, 0.4), m0_abs=(0.8, 1.0), m0_phase=(-0.2, 0.2))})

Tissue values for 3T with wide randomization ranges.