Add nvimgcodec GPU accelerated decoder to Pydicom for decoding compressed pixel data

[MMelQin]

This WIP pull request adds a custom pydicom decoder plugin using NVIDIA's nvImageCodec library to accelerate DICOM image decompression for various JPEG and JPEG2000 transfer syntaxes.

Key Changes:

• Implements a new decoder plugin in decoder_nvimgcodec.py supporting 9 DICOM transfer syntaxes (JPEG Baseline, Extended, Lossless, JPEG2000, and HTJ2K variants)
• Integrates the decoder into DICOMSeriesToVolumeOperator to automatically register the plugin during initialization
• Exposes the decoder module through the operators package interface

[Copilot]

Pull Request Overview

This PR adds GPU-accelerated DICOM image decompression capabilities using NVIDIA's nvImageCodec library. The implementation creates a custom pydicom decoder plugin that supports 9 JPEG and JPEG2000 transfer syntaxes, automatically registering during the DICOMSeriesToVolumeOperator initialization.

• Implements a new decoder plugin module (decoder_nvimgcodec.py) that integrates with pydicom's pixels backend
• Automatically registers the decoder plugin when creating DICOMSeriesToVolumeOperator instances
• Exposes the decoder module through the operators package interface

Reviewed Changes

Copilot reviewed 3 out of 3 changed files in this pull request and generated 12 comments.

File	Description
monai/deploy/operators/decoder_nvimgcodec.py	New module implementing nvImageCodec-based decoder plugin with functions for availability checking, frame decoding, plugin registration, and helper utilities for module path resolution
monai/deploy/operators/dicom_series_to_volume_operator.py	Integrates decoder plugin by importing the module and calling registration during operator initialization
monai/deploy/operators/__init__.py	Exposes the decoder module through package imports and adds it to __all__ list

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[sonarqubecloud]

Quality Gate passed

Issues
2 New issues
0 Accepted issues

Measures
0 Security Hotspots
0.0% Coverage on New Code
0.0% Duplication on New Code

See analysis details on SonarQube Cloud