remove IVIM_fit_full_volume

not entirely sure I am using it correctly

Author: oliverchampion

src/standardized/OGC_AmsterdamUMC_Bayesian_biexp.py

@@ -123,6 +123,8 @@ def ivim_fit_full_volume(self, signals, bvalues, initial_guess=None, **kwargs):
         Returns:
             _type_: _description_
         """
+        signals = self.reshape_to_voxelwise(signals)
+
         bvalues=np.array(bvalues)
 
         epsilon = 0.000001
@@ -138,4 +140,18 @@ def ivim_fit_full_volume(self, signals, bvalues, initial_guess=None, **kwargs):
         results["f"] = fit_results[1]
         results["Dp"] = fit_results[2]
 
-        return results
+        return results
+
+
+
+    def reshape_to_voxelwise(self, data):
+        """
+        reshapes multi-D input (spatial dims, bvvalue) data to 2D voxel-wise array
+        Args:
+            data (array): mulit-D array (data x b-values)
+        Returns:
+            out (array): 2D array (voxel x b-value)
+        """
+        B = data.shape[-1]
+        voxels = int(np.prod(data.shape[:-1]))  # e.g., X*Y*Z
+        return data.reshape(voxels, B)

src/standardized/OGC_AmsterdamUMC_biexp_segmented.py

@@ -87,26 +87,3 @@ def ivim_fit(self, signals, bvalues, **kwargs):
         results["Dp"] = fit_results[2]
 
         return results
-
-
-    def ivim_fit_full_volume(self, signals, bvalues, **kwargs):
-        """Perform the IVIM fit
-
-        Args:
-            signals (array-like)
-            bvalues (array-like, optional): b-values for the signals. If None, self.bvalues will be used. Default is None.
-
-        Returns:
-            _type_: _description_
-        """
-        signals = self.osipi_reshape_to_voxelwise(signals)
-
-        bvalues=np.array(bvalues)
-        fit_results = self.OGC_algorithm_array(bvalues, signals, bounds=self.bounds, cutoff=self.thresholds, p0=self.initial_guess)
-
-        results = {}
-        results["D"] = fit_results[0]
-        results["f"] = fit_results[1]
-        results["Dp"] = fit_results[2]
-
-        return results