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<p>Cultural heritage X-ray and computed tomography data require conservation-grade reproducibility; however, existing medical and industrial imaging standards lack semantic flexibility for heterogeneous objects. I present the DICOCH pipeline, a rigorous “verification-first” Generation-Validation-Publication workflow based on the DICOM standard. DICOCH overcomes conventional limitations by introducing a Private Group (0013,xxxx) that permanently embeds heritage-specific provenance, rights, and context within the image object. The pipeline structurally separates raw stored values from nominal Hounsfield Unit representations via a dedicated calibration sequence, preserving original data integrity while ensuring internal contrast for medical viewers. Validated using the Andong Hahoe Mask dataset, the automated workflow achieved zero-error standard compliance and demonstrated seamless interoperability across closed medical PACS and open web-based IIIF environments. By reconciling strict standard conformance with open access, DICOCH serves as a trusted bridge between scientific preservation and global digital reuse.</p>

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Pipeline integrating cultural heritage X-ray computed radiography and computed tomography data using DICOM

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年4月4日

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  • JUNG-IL SONG

摘要

Cultural heritage X-ray and computed tomography data require conservation-grade reproducibility; however, existing medical and industrial imaging standards lack semantic flexibility for heterogeneous objects. I present the DICOCH pipeline, a rigorous “verification-first” Generation-Validation-Publication workflow based on the DICOM standard. DICOCH overcomes conventional limitations by introducing a Private Group (0013,xxxx) that permanently embeds heritage-specific provenance, rights, and context within the image object. The pipeline structurally separates raw stored values from nominal Hounsfield Unit representations via a dedicated calibration sequence, preserving original data integrity while ensuring internal contrast for medical viewers. Validated using the Andong Hahoe Mask dataset, the automated workflow achieved zero-error standard compliance and demonstrated seamless interoperability across closed medical PACS and open web-based IIIF environments. By reconciling strict standard conformance with open access, DICOCH serves as a trusted bridge between scientific preservation and global digital reuse.