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Related Experiment Video

Updated: Mar 2, 2026

A Method to Estimate Cadaveric Femur Cortical Strains During Fracture Testing Using Digital Image Correlation
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SU-D-217BCD-01: Corrupted DICOM Image Recovering: A Clinical Experience.

L Chen1, A Walz-Flannigan1, S Langer1

  • 1Mayo Clinic, Rochester, MN.

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|May 19, 2017
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Summary
This summary is machine-generated.

Corrupted DICOM images from CT perfusion studies were fixed by adding the missing Planar Configuration tag. This tag is crucial for proper display of color images between different workstations.

Keywords:
Computed tomographyComputer softwareGermaniumMedical imagingPhotometry

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Area of Science:

  • Medical Imaging
  • Radiology Informatics
  • Digital Pathology

Background:

  • Colored DICOM secondary capture images from CT perfusion studies can become corrupted when transferred directly between Siemens and GE workstations.
  • Transferring these images via a GE PACS (Picture Archiving and Communication System) resolves the corruption issue, indicating a PACS-mediated workaround.

Purpose of the Study:

  • To investigate the root cause of DICOM image corruption during direct transfer between specific workstations.
  • To understand the mechanism by which PACS transfer corrects the image corruption.

Main Methods:

  • Comparative analysis of DICOM headers from corrupted and correctly displayed images using DICOM software.
  • Systematic removal of header tags from non-corrupted images to identify the critical tag causing corruption.
  • Testing image repair by adding a specific tag to corrupted images.

Main Results:

  • The absence of the Planar Configuration (0028, 0006) DICOM tag was identified as the cause of image corruption.
  • This tag is essential for specifying color pixel data organization (color-by-plane vs. color-by-pixel) when Sample per Pixel is greater than 1.
  • Manual addition of the Planar Configuration tag with a value of 0 (color-by-pixel) successfully repaired corrupted images.

Conclusions:

  • Open-source DICOM tools are effective for diagnosing image corruption issues.
  • Identifying and addressing the missing Planar Configuration tag provides a solution for DICOM color image display problems.
  • The findings can inform vendors about necessary fixes for permanent resolution.