Paper
10 May 2001 DICOM-compatible format for analytical cytology data that can be expressed in XML
Robert C. Leif, Suzanne B. Leif
Author Affiliations +
Abstract
Flow cytometry data can be directly mapped to the Digital Imaging and Communications in Medicine, DICOM standard. A preliminary mapping of list-mode data to the DICOM Waveform information Object will be presented. This mapping encompasses both flow and image list-mode data. Since list- mode data is also produced by digital slide microscopy, which has already been standardized under DICOM, both branches of Analytical Cytology can be united under the DICOM standard. This will result in the functionality of the present International Society for Analytical Cytology Flow Cytometry Standard, FCS, being significantly extended and the elimination of the previously reported FCS design deficiencies. Thus, the present Flow Cytometry Standard can and should be replaced by a Digital Imaging and Communications in Medicine, DICOM, standard. Expression of Analytical Cytology data in any other format, such as XML, can be made interoperable with DICOM by employing the DICOM data types. A fragment of an XML Schema has been created, which demonstrates the feasibility of expressing DICOM data types in XML syntax. The extension of DICOM to include Flow Cytometry will have the benefits of 1) retiring the present FCS, 2) providing a standard that is ubiquitous, internationally accepted, and backed by the medical profession, and 3) inter-operating with the existing medical informatics infrastructure.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Robert C. Leif and Suzanne B. Leif "DICOM-compatible format for analytical cytology data that can be expressed in XML", Proc. SPIE 4260, Optical Diagnostics of Living Cells IV, (10 May 2001); https://doi.org/10.1117/12.426776
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Cited by 7 scholarly publications and 5 patents.
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KEYWORDS
Cell biology

Flow cytometry

Data communications

Fluorescence correlation spectroscopy

Associative arrays

Digital imaging

Medicine

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