Welcome to Nifti2Dicom! Born from countless hours of yelling at screens, this software aims to swap NIfTI for DICOM without inviting any more hair-pulling or infernal uprisings. Because, honestly, who needs another software-induced existential crisis? 🔁💻😫🔥
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Feature Request: Support for RGB 3D NIfTI to RGB DICOM Conversion #21
Objective: Introduce the ability to convert RGB 3D NIfTI images into RGB DICOM images, specifically tailored for multiplexed images generated by PUMA.
Key DICOM Tags for Modification:
SOP Class UID (0008,0016): Use 1.2.840.10008.5.1.4.1.1.7 for Secondary Capture Image Storage.
Modality (0008,0060): Set to SC for Secondary Capture.
Samples per Pixel (0028,0002): Set to 3 for RGB images.
Photometric Interpretation (0028,0004): Use RGB.
Rows (0028,0010) and Columns (0028,0011): Should match the dimensions of the NIfTI image slices.
Bits Allocated (0028,0100), Bits Stored (0028,0101), and High Bit (0028,0102): Typically set to 8 for each color component in RGB images.
Pixel Data (7FE0,0010): The actual RGB image data, encoded as RGB triplets.
Rationale: This feature will expand the package's capabilities to include the processing of multiplexed RGB images, enhancing its utility in medical image analysis workflows, especially those involving advanced visualization techniques.
Expected Outcome: Users will be able to convert multiplexed RGB 3D NIfTI images into DICOM format, maintaining high fidelity of the original data and ensuring compatibility with DICOM-based medical imaging systems.
Objective: Introduce the ability to convert RGB 3D NIfTI images into RGB DICOM images, specifically tailored for multiplexed images generated by PUMA.
Key DICOM Tags for Modification:
1.2.840.10008.5.1.4.1.1.7for Secondary Capture Image Storage.SCfor Secondary Capture.3for RGB images.RGB.8for each color component in RGB images.Rationale: This feature will expand the package's capabilities to include the processing of multiplexed RGB images, enhancing its utility in medical image analysis workflows, especially those involving advanced visualization techniques.
Expected Outcome: Users will be able to convert multiplexed RGB 3D NIfTI images into DICOM format, maintaining high fidelity of the original data and ensuring compatibility with DICOM-based medical imaging systems.