TEND-ANHIST(1)

💖 TEND-ANHIST(1) 💖

okay bestie, so this is tend-anhist, a User Commands situation (section 1 of the manual, iykyk), and it's literally about making barycentric histograms of anisotropy. slay.

✨ NAME ✨

tend-anhist — generate barycentric histograms of anisotropy 🎀

🌈 SYNOPSIS 🌈

tend anhist [-v <westin version>] [-w <nweight>] -r <res> [-right] [-i
<nin>] [-o <nout>]

note that -r <res> is not optional, bestie. she's required. the brackets are for the other girls 💅

🦋 DESCRIPTION 🦋

So basically: you generate barycentric histograms of anisotropy. Obsessed. The barycentric space used is either one of Westin's triple of spherical, linear, and planar anisotropy. That's the vibe.

And the bin counts in the histogram? They're weighted by the confidence value. no cap. 💜

👑 OPTIONS 👑

• -v <westin version> — which version of Westin's anisotropy metric triple you wanna use, either "1" or "2" (int). default is "1". pick your fighter 🥊
• -w <nweight> — how to weigh contributions to the histogram. By default (aka when you don't use this option at all), the increment is one bin count per sample. But if you give a nrrd, then the value in the nrrd at the corresponding location becomes the bin count increment. default: "". it's giving ✨custom weighting✨
• -r <res> — resolution of the anisotropy plot (int). this one's mandatory, she's the main character 💅
• -right — sample a right-triangle-shaped region, instead of a roughly equilateral triangle. yes the shape really does change. geometry said so 📐
• -i <nin> — input diffusion tensor volume. default: "-"
• -o <nout> — output image (floating point) (string). default: "-"

🌸 SEE ALSO 🌸

tend(1) — go read her too, bestie 🫶

okay that's the whole page 💖 this was TEND-ANHIST(1) from the tend source, dated April 2021 (she's a spring baby 🌷), and yes, the manual page itself also says TEND-ANHIST(1) at the bottom because she's consistent like that. periodt. 💅✨