add C function to integrate anisotropic diffusion
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@ -55,4 +55,3 @@ try:
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except OSError:
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HAS_C_FUNCS = False
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logger.info('Use python functions')
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@ -98,27 +98,6 @@ class AnisotropicDiffusion(object):
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@staticmethod
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def func(x, m0, d_perp, d_par, trel, brel, g, t2, nucleus=2.67522128e8, t_axis='tm'):
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if t_axis == 'tm':
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tm = x
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tp = t2
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relax = np.exp(-(tm/trel)**brel)
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else:
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tm = t2
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tp = x
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relax = np.exp(-(tp/trel)**brel)*np.exp(-(tp/trel)**brel)
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q_squared = np.power(g * nucleus * tp, 2)
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t = 2 * tp / 3 + tm
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z = np.sqrt(q_squared * (d_par - d_perp) * t)
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# Callaghan eq (6.89)
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diffs = np.exp(-q_squared*t*d_perp) * special.erf(z) / z
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return m0 * diffs * relax
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@staticmethod
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def _integrate_c(x, m0, d_perp, d_par, trel, brel, g, t2, nucleus=2.67522128e8, t_axis='tm') -> np.ndarray:
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diffusion_decay = np.zeros_like(x)
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if t_axis == 'tm':
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tm = x
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tp = t2
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@ -130,6 +109,18 @@ class AnisotropicDiffusion(object):
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q = g * nucleus * tp
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t = 2 * tp / 3 + tm
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# Callaghan eq (6.89)
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if HAS_C_FUNCS:
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diffusion_decay = AnisotropicDiffusion._integrate_c(q, t, d_perp, d_par)
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else:
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z = np.sqrt(q**2 * (d_par - d_perp) * t)
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diffusion_decay = np.exp(-q**2 * t * d_perp) * special.erf(z) / z
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return m0 * diffusion_decay * relax
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@staticmethod
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def _integrate_c(q, t, d_perp, d_par) -> np.ndarray:
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diffusion_decay = np.zeros_like(t)
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for (i, t_i) in enumerate(t):
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c = (c_double * 4)(q, t_i, d_perp, d_par)
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@ -137,7 +128,7 @@ class AnisotropicDiffusion(object):
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diffusion_decay[i] = quad(LowLevelCallable(diffusion_lib.anistropicDiffusion, user_data), 0, np.pi, epsabs=1e-13)[0]
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return m0 * diffusion_decay * relax
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return diffusion_decay
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class Peschier:
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