Update TCML_TechnionIIT_lsq_sls_lm.py

Author: IvanARashid

src/standardized/TCML_TechnionIIT_lsq_sls_lm.py

@@ -76,11 +76,17 @@ def ivim_fit(self, signals, bvalues, **kwargs):
                        [self.bounds["D"][1], self.bounds["Dp"][1], self.bounds["f"][1], self.bounds["S0"][1]])
         fit_results = self.fit_least_squares(np.array(signals)[:,np.newaxis],bvalues, bounds, min_bval_high=self.thresholds)
 
+        def get_scalar(val):
+            """Convert value to Python scalar, handling numpy arrays."""
+            if isinstance(val, np.ndarray):
+                return float(val.item())
+            return float(val)
+
         results = {}
         if fit_results[0].size > 0:
-            results["D"] = fit_results[0]
-            results["f"] = fit_results[2]
-            results["Dp"] = fit_results[1]
+            results["D"] = get_scalar(fit_results[0])
+            results["f"] = get_scalar(fit_results[2])
+            results["Dp"] = get_scalar(fit_results[1])
         else:
             results["D"] = 0
             results["f"] = 0