feat(nifti): NIFTI data type enhancement

[yanqzsu]

Context

• Support NIFTI file which code type(2, 4, 8, 16, 256, 512, 768) is uint8, int8, uint16, int16, uint32, int32, float32 ("nifti-volume-loader" support more datatypes[Feature Request]  #964, [Feature Request] add support for uint8 nifti files to cornerstoneNiftiVolumeLoader #791).
• RGB is not supported yet
• Set default VOI for NIFTI image which imageIds array is empty.
• Support typed array convertation when NIFTI scale result is negetive and float. It may cause precision of loss.
• Skip scale if slope is 1 and inter is 0
• NIFTI examples and api docs are updated too

Changes & Results

Testing

The test data is provided by #791(pull request #1033) and #964
https://raw.githubusercontent.com/alfnie/conn/master/utils/surf/referenceT1.nii
https://drive.google.com/file/d/1sLOBm3PGT2XOAWdPRdcyMLZ7tOB9fCcT/view?usp=drive_link

Following is the compare results with NiiVue(RAS) and ITK-SNAP(LPS)
INT16

UINT8

UINT8 with float scaler

Checklist

PR

• My Pull Request title is descriptive, accurate and follows the
  semantic-release format and guidelines.

Code

• My code has been well-documented (function documentation, inline comments,
  etc.)

• I have run the yarn build:update-api to update the API documentation, and have
  committed the changes to this PR. (Read more here https://www.cornerstonejs.org/docs/contribute/update-api)

Public Documentation Updates

• The documentation page has been updated as necessary for any public API
  additions or removals.

Tested Environment

• "OS: Windows 10
• "Node version: 18.20.1
• "Browser: Chrome 83.0.4103.116

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[yanqzsu]

This PR is very important to my project.
Do I need some modifications?

[sedghi]

Hi, this is amazing contribution thanks for this.

I tried the branch, but was not able to load the int8_t

I think this is the data problem as it renders the same in 3D slicer too, so i'm fine with most of the changes. Please see my comments

[yanqzsu]

Hi, @sedghi

I tried the branch, but was not able to load the int8_t. I think this is the data problem as it renders the same in 3D slicer too

I found more int8_t images for testing, CT_Abdo, CT_Electrodes, etc. from niivue-images.
We can rendered them same as ITK-SNAP and NiiVue.
So I think it is a data problem too.

For other images, most of them are OK except visiblehuman.nii.gz which is a RGB image and chris_MRA.nii.gz which need update nifti-reader-js to 0.6.8.
I create a new PR #1286 to do this because there are too many conflicts.

Also I found a bug of _getImageScalarDataFromImageVolume() in setDefaultVolumeVOI.ts
const { scalarData } = imageVolume;
const { volumeBuffer } = scalarData;
volumeBuffer always be undefined so I fixed it meantime.

Other codes are adjusted to make the code structure clearer

Please review it again.

[sedghi]

Looks awesome now, thanks