Hi, Mjavan. TorchIO does support NumPy arrays:
import numpy as np
import torchio as tio

array = np.ones((1, 2, 2, 2))  # (C, D, H, W)
print(array)
transform = tio.RandomNoise()
transformed = transform(array)
print(transformed)

Output:
[[[[1. 1.]
   [1. 1.]]

  [[1. 1.]
   [1. 1.]]]]
[[[[0.64996007 0.86066213]
   [1.01217787 0.97101844]]

  [[1.09215886 0.98876163]
   [0.94828662 0.77317567]]]]