How to get oblique 2d slice from volume (simpleITK)

[Salu_Ramos]

Hello @zivy,

thank you very much for your reply.
i made changes to the code and my function looked like this, for future readers:

import numpy as np
import SimpleITK as sitk
import time

def oblique_slice(self, theta_x_degrees:float, theta_y_degrees:float, theta_z_degrees:float, slice_size:list[int], slice_index:list[int]) -> np.array:
        """
        extrai um slice obliquo do volume e retorna em formato de array numpy
        """
        theta_x_radians = np.deg2rad(theta_x_degrees)
        theta_y_radians = np.deg2rad(theta_y_degrees)
        theta_z_radians = np.deg2rad(theta_z_degrees)
        rotation_matrix = sitk.Euler3DTransform()
        rotation_matrix.SetRotation(theta_x_radians, theta_y_radians, theta_z_radians)
        time1 = time.time()
        rotated_volume = sitk.Resample(self.volume, rotation_matrix)
        time2 = time.time()
        print(f"resample timer = {time2 - time1}")
        slice_extraction = sitk.Extract(rotated_volume, slice_size, slice_index)
        return sitk.GetArrayFromImage(slice_extraction)

With this parrameters i will be able to implement mpr function.
I am trying to optimize this code because Resample are taking too much time, approximately 0.04/0.045 seconds, which gives me 20 frames per second.
In my MainSettings i set:

sitk.ProcessObject.SetGlobalDefaultNumberOfThreads(multiprocessing.cpu_count())

And now i’m trying to use gpu with pytorch or tensorflow, after reading this:

Is it possible to use GPU for resample filter in simpleITK and Windows?

Is it possible to use GPU for image resample in simpleITK or ITK? I checked the previous post, in that, one of the answers was to use the “itk-elastic-opencl” But it seems like work only on Linux Is there any other way to accelerate the resample filter on Windows? And my final goal is that getting a resample result of less than 0.5 s Is it also possible?

which by coincidence you answered too, lol!
I will bring news in case I get something.