Everything about DICOM
Open standard from the medical computer science
Digital Imaging and Communications in Medicine (DICOM) is a technical standard for the digital storage and transmission of medical images and related information. It includes information object definitions ; service definitions; a file format definition, which specifies the structure of a DICOM file; and a network communication protocol that uses either TCP/IP or HTTPS to communicate between systems. The primary purpose of the standard is to facilitate communication between the software and hardware entities involved in medical imaging, especially those that are created by different manufacturers. Entities that utilize DICOM files include components of picture archiving and communication systems (PACS), such as imaging machines (modalities), radiological information systems (RIS), scanners, printers, computing servers, and networking hardware. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: DICOMA 5-minute orientation
- Skim a recent paper: Unified deep learning models for enhanced lung cancer prediction with ResNet-50–101 and EfficientNet-B3 using DICOM imagesInfluential work since 2022
- Pick up a classic book: Photoshop 3D for animatorsThe most-reprinted book on the subject
- Read the landmark paper: OsiriX: An Open-Source Software for Navigating in Multidimensional DICOM ImagesCited 1,516 times
- Go sideways: Vendor Neutral ArchiveA closely related topic
- Go sideways: Picture archiving and communication systemA closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🏆 Landmark papers (most cited)
OsiriX: An Open-Source Software for Navigating in Multidimensional DICOM Images
The first step for neuroimaging data analysis: DICOM to NIfTI conversion
Introduction to the DICOM standard
fastMRI: A Publicly Available Raw k-Space and DICOM Dataset of Knee Images for Accelerated MR Image Reconstruction Using Machine Learning
Understanding and Using DICOM, the Data Interchange Standard for Biomedical Imaging
Chaos based crossover and mutation for securing DICOM image
Inaccuracies in additive manufactured medical skull models caused by the DICOM to STL conversion process
SU‐E‐T‐33: Pydicom: An Open Source DICOM Library
🆕 Influential since 2022
Unified deep learning models for enhanced lung cancer prediction with ResNet-50–101 and EfficientNet-B3 using DICOM images
Thirty Years of the DICOM Standard
Reconstructing and resizing 3D images from DICOM files
HeuDiConv — flexible DICOM conversion into structured directory layouts
Hiding patients’ medical reports using an enhanced wavelet steganography algorithm in DICOM images
📚 Books worth reading
Photoshop 3D for animatorsRafiq Elmansy · 2011
Informatics in medical imagingGeorge C. Kagadis · 2011- 📕User centered design for medical visualizationFeng Dong, Sherry Y. Chen · 2008
DICOM BasicsHerman Oosterwijk · 2002- 📕DICOM GROUP PLCICON Group Ltd. · 2000
- 📕DICOM IMAGING SYSTEMS, INCICON Group Ltd. · 2000
- 📕DicomesIon Nicolae Bucur · 1971
Digital imaging and communications in medicine (DICOM)Oleg S. Pianykh · 2008
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
🔗 Related topics
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