Good afternoon DIPY experts,
My name is Linda Hoffman, and I'm the lab manager for Dr. Ingrid Olson's Cognitive Neuroscience Lab at Temple University. I have been working on implementing a DIPY-based free-water elimination (FWE) pipeline that my labmate, Katie Jobson, adapted from
your website in order to extract free-water corrected (FWC) scalar maps from a HYDI dataset that I'm analyzing. For your reference, I am ultimately planning to calculate FWC DTI metrics for the fornix and genu of the corpus callosum after performing probabilistic tractography. I have preprocessed my data using FSL version 6.0 and MRtrix3 on a linux machine.
While I have successfully extracted FWC FA, MD, RD, and AD maps from my data using this pipeline, there still seems to be a disproportionate amount of noise in the ventricles, especially when comparing my output to your examples on the website linked above. This is the case even after eliminating voxels with a water volume fraction (WVF) exceeding 70%. In light of this, I was wondering if you may be able to address the following questions:
- Is the amount of ventricular noise post-FWE in my scalar maps within a normal range? Will this preclude me from extracting valid FWC DTI metrics from the fornix and the genu? Here are some screenshots from a representative subject's scalar maps:
FA map with WVF elimination at a threshold of 70%
MD map with WVF elimination at a threshold of 70%
RD map with WVF elimination at a threshold of 70%
AD map with WVF elimination at a threshold of 70%
- If this noise is not within an acceptable range, how might I be able optimize our DIPY script so that I can perform a better FWE? I tried comparing the results from using a stricter WVF threshold of 60% as well as using no WVF thresholding to the above results. Using a stricter threshold did not completely eliminate the noise problem, but it did help a little bit. However, I'm not sure if there is a precedent for this level of thresholding in the literature, or if it is actually appropriate. Screenshots from a representative subject are listed below:
FA map with WVF elimination at a threshold of 60%
MD map with WVF elimination at a threshold of 60%
FA map with No WVF elimination threshold
MD map with No WVF elimination threshold
I have attached a zip file with the following information for your reference:- Input data from a representative subject. This includes DWI volumes collected at b values between 0 to 2000. This is contained in the subject_data subfolder.
- Scalar maps collected with a WVF thresholding rate of 70% (F>.7), 60% (F>.6), and with no thresholding (no_F_threshold).
- Three versions of the DIPY script I've been using - each one accounts for a different rate of WVF thresholding. These scripts are contained in the dipy_fwe_script_versions subfolder.
I sincerely appreciate all of your time and consideration, and look forward to hearing from you soon!
Kind regards,
Linda
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Lab ManagerCognitive Neuroscience Lab
Temple University
1701 N. 13th St.
Philadelphia, PA 19122
Pronouns: She/Her
Phone: (215) 204-1708