Wrong spacing checking logic in DICOM series combination

[function2-llx]

Describe the bug

I found some issues in the following code snip:

MONAI/monai/data/image_reader.py

Lines 510 to 521 in 2cbed6c

	first_slice = slices[0]
	average_distance = 0.0
	first_array = self._get_array_data(first_slice)
	shape = first_array.shape
	spacing = getattr(first_slice, "PixelSpacing", [1.0, 1.0, 1.0])
	pos = getattr(first_slice, "ImagePositionPatient", (0.0, 0.0, 0.0))[2]
	stack_array = [first_array]
	for idx in range(1, len(slices)):
	slc_array = self._get_array_data(slices[idx])
	slc_shape = slc_array.shape
	slc_spacing = getattr(first_slice, "PixelSpacing", (1.0, 1.0, 1.0))
	slc_pos = getattr(first_slice, "ImagePositionPatient", (0.0, 0.0, float(idx)))[2]

1. In line 520, spacing should be got from slices[idx] instead of first_slice; there's the same issue in line 521;
2. the default value in line 514 is [1.0, 1.0, 1.0], which is a list instance, while the default value in line 520 is (1.0, 1.0, 1.0), which is a tuple instance, and (1.0, 1.0, 1.0) == [1.0, 1.0, 1.0] will result in False.

[wyli]

thanks for reporting, would you like to submit a PR to fix it? I think the relevant elementwise checks could be done with allclose

MONAI/monai/transforms/utils_pytorch_numpy_unification.py

Line 58 in 2cbed6c

def allclose(a: NdarrayTensor, b: NdarrayOrTensor, rtol=1e-5, atol=1e-8, equal_nan=False) -> bool:

[function2-llx]

Hi, I can make a PR later.