Update README.md [skip ci]

README.md

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 # RadonKA
-A simple but still decently fast radon and iradon transform based on KernelAbstractions.jl
+A simple but still decently fast Radon and IRadon transform based on KernelAbstractions.jl
 
 [![Build Status](https://github.com/roflmaostc/RadonKA.jl/actions/workflows/CI.yml/badge.svg?branch=main)](https://github.com/roflmaostc/RadonKA.jl/actions/workflows/CI.yml?query=branch%3Amain)
 [![Coverage](https://codecov.io/gh/roflmaostc/RadonKA.jl/branch/main/graph/badge.svg)](https://codecov.io/gh/roflmaostc/RadonKA.jl)
 
 
-
 # Quick Overview
-* provides `radon` and `iradon`
+* For 3D arrays (2D arrays are special case of 3D).
+* provides parallel `radon` and `iradon`
+* provides parallel exponential `radon` and `iradon`
+* It is restricted to the incircle of radius `N ÷ 2 - 1` if the array has size `(N, N, N_z)`
 * based on [KernelAbstractions.jl](https://github.com/JuliaGPU/KernelAbstractions.jl)
 * tested on `CPU()` and `CUDABackend`
+* Can be applied to Computed Tomography (CT) like problems
 
 
 # Installation