add wrappers

Author: DKuppens

requirements.txt

@@ -1,4 +1,6 @@
 numpy
+scipy
+operator
 torchio
 torch
 os

src/wrappers/ivim_fit.py

@@ -0,0 +1,37 @@
+# Non-osipi dependencies
+
+# osipi utilities
+
+# osipi implementations
+
+
+def ivim_fit(author, signals=None, bvalues=None, data=None, initial_guess=None, bounds=None):
+    """
+    wrapper function to use OSIPI code contributions for IVIM fit
+    :param author: str, can be one of []
+    :param signals: numpy array containing signal intensities
+    :param bvalues: numpy array containing corresponding b-values
+    :param data: object containing signals and bvalues
+    :param initial_guess: list of initial parameter estimates
+    :param bounds: list containing list of lower parameter bounds and list of upper parameter bounds
+    :return: numpy array of shape (signals.size, 4) with the D, Dp, f, S0 per voxel.
+    """
+
+    # Unpack variables if data object is given
+    if not data == None:
+        bvalues = data.bvalues
+        signals = data.signals
+
+
+    # Some implementations can only fit a voxel at a time (i.e. all inputs must be 2-dimensional)
+    requires_2D = True if author in []
+    requires_4D = True if author in []
+
+    # Bounds and initial guess for parameters
+    initial_guess = []
+    bounds = []
+
+    # Create a fitting function for the chosen author/implementation
+    if author == "":
+        pass
+