--- a/README.md
+++ b/README.md
@@ -1,4 +1,4 @@
-![](pnl-bwh-hms.png)
+
 
 [![DOI](https://zenodo.org/badge/doi/10.5281/zenodo.3665739.svg)](https://doi.org/10.5281/zenodo.3665739) [![Python](https://img.shields.io/badge/Python-3.6-green.svg)]() [![Platform](https://img.shields.io/badge/Platform-linux--64%20%7C%20osx--64-orange.svg)]()
 
@@ -121,17 +121,17 @@
 You can build ANTs following their [GitHub](https://github.com/ANTsX/ANTs).
 Or you can use our pre-built ANTs:
 
-> conda install -y pnlbwh::ants
+conda install -y pnlbwh::ants
 
 Either way, you need to set the environment variable `ANTSPATH`. For the latter method, it is:
 
-> export ANTSPATH=${CONDA_PREFIX}/bin
+export ANTSPATH=${CONDA_PREFIX}/bin
 
 ## 4. CUDA environment
 
 To run this program on GPU, you must set `LD_LIBRARY_PATH`:
 
-> export LD_LIBRARY_PATH=${CONDA_PREFIX}/lib/:${LD_LIBRARY_PATH}
+export LD_LIBRARY_PATH=${CONDA_PREFIX}/lib/:${LD_LIBRARY_PATH}
 
 Your NVIDIA driver should be compatible with CUDA.
 
@@ -193,7 +193,7 @@
 to generate snapshots of image-mask for being able to QC it. Hence, we do not recommend
 sourcing the entire FSL environment. Instead, you should just put `slicesdir` in your PATH:
 
-> export PATH=/path/to/fsl-6.0.7/share/fsl/bin:$PATH
+export PATH=/path/to/fsl-6.0.7/share/fsl/bin:$PATH
 
 In additon, you should set:
 
@@ -278,14 +278,14 @@
 
 Whether you register the images or not, create a text file for with their absolute paths:
 
-> b0_list.txt
+ b0_list.txt
 
     /path/to/case1_b0.nii.gz
     /path/to/case2_b0.nii.gz
     ...
     
 
-> mask_list.txt
+mask_list.txt
 
     /path/to/case1_mask.nii.gz
     /path/to/case2_mask.nii.gz