code: def get_foreground_label(
      image: MetaTensor, label: MetaTensor
  ) -> MetaTensor:
      """
      Get foreground image pixel values and mask out the non-labeled area.
  
      Args
          image: ndarray image to segment.
          label: ndarray the image input and annotated with class IDs.
  
      Returns:
          1D array of foreground image with label > 0
      """
  
      label_foreground = MetaTensor(image[label > 0])
      return label_foreground
  
imports: from __future__ import annotations
  import logging
  import os
  import pickle
  import subprocess
  import sys
  from copy import deepcopy
  from numbers import Number
  from typing import Any, cast
  import numpy
  import torch
  from monai.auto3dseg import Algo
  from monai.bundle.config_parser import ConfigParser
  from monai.bundle.utils import ID_SEP_KEY
  from monai.config import PathLike
  from monai.data.meta_tensor import MetaTensor
  from monai.transforms import CropForeground, ToCupy
  from monai.utils import min_version, optional_import, run_cmd
label_desc: Use image node_id 2 for calling a global function with example usage: get_foreground_label(image, label) and returns: label_foreground