From 9d144542d888ad4e05e39c64ddc5a9e42589ac49 Mon Sep 17 00:00:00 2001
From: Paulien Voorter <91143388+paulienvoorter@users.noreply.github.com>
Date: Fri, 20 Oct 2023 14:25:32 +0200
Subject: [PATCH] Update two_step_IVIM_fit.py

changed default option of inversion recovery (IR) to False, as testing data won't have IR
---
 src/original/PV_MUMC/two_step_IVIM_fit.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/src/original/PV_MUMC/two_step_IVIM_fit.py b/src/original/PV_MUMC/two_step_IVIM_fit.py
index 0bf861f..2c8ec95 100644
--- a/src/original/PV_MUMC/two_step_IVIM_fit.py
+++ b/src/original/PV_MUMC/two_step_IVIM_fit.py
@@ -54,7 +54,7 @@ def fit_least_squares_array(bvalues, dw_data, fitS0=True, bounds=([0.9, 0.0001,
     return [Dpar, Fmv, Dmv, S0]
 
 
-def fit_least_squares(bvalues, dw_data, IR=True, S0_output=False, fitS0=True,
+def fit_least_squares(bvalues, dw_data, IR=False, S0_output=False, fitS0=True,
                       bounds=([0.9, 0.0001, 0.0, 0.0025], [1.1, 0.0025, 0.2, 0.2]), cutoff=200):
     """
    This is the LSQ implementation, in which we first estimate Dpar using a curve fit to b-values>=cutoff;