Memory-mapped O(log n) DICOM tag dictionary (private + public tags)
Project description
DICOM-Atlas
An open registry of public and private DICOM tags compiled from vendor conformance statements plus the PS3.6 standard, with additional entries contributed by pydicom and GDCM. Queryable from Rust, C, or Python in O(log n) with no runtime dependencies.
Current shipped size: 19,688 tags (14,559 private + 5,129 public) in a
3.9 MB tags.dmap file.
Private tag breakdown
| Source | Tags | PDFs scraped |
|---|---|---|
| Siemens Healthineers (PDF scrape) | 1,951 | 439 |
| GE HealthCare (PDF scrape) | 1,762 | 257 |
| Philips Healthcare (PDF scrape) | 791 | 807 |
| Canon Medical (PDF scrape) | 410 | 284 |
| Acuson (PDF scrape) | 214 | 53 |
| PDF-scraped subtotal | 5,128 | 1,840 |
| pydicom / GDCM (community-compiled) | 9,472 | — |
| Total private | 14,559 | |
| Public (PS3.6 standard) | 5,129 | — |
| Grand total | 19,688 |
Quick start — use the dictionary
CLI
cargo build --release --bin dicom-lookup
./target/release/dicom-lookup 0008 0005
./target/release/dicom-lookup 0021 xx08 "Siemens: Thorax/Multix FD Lab Settings"
./target/release/dicom-lookup --json 0021 xx01 GEMS_XR3DCAL_01
Python
pip install maturin
cd dicom-map-py && maturin develop --release
import dicom_map
d = dicom_map.open("tags.dmap")
t = d.lookup(0x0021, 0x0008, "Siemens: Thorax/Multix FD Lab Settings")
# {'vr': 'US', 'name': 'Auto Window Flag', 'block_offset': True,
# 'sources': ['siemens_xr_c2-064.pdf#p41', ...], ...}
pydicom adapter
If you already use pydicom, register DICOM-Atlas's private dictionary into pydicom so private tags resolve automatically with no other code changes:
import dicom_map
import pydicom
dicom_map.patch_pydicom("tags.dmap") # one-time at startup
ds = pydicom.dcmread("scan.dcm")
elem = ds[0x0021, 0x1008]
print(elem.name, elem.VR) # resolved via dicom-map
By default patch_pydicom runs in mode="fill" — it only adds entries
pydicom doesn't already have, so existing pydicom data is never clobbered.
Pass mode="override" to make DICOM-Atlas take precedence on conflicts, or
call dicom_map.unpatch_pydicom() to revert.
Rust
[dependencies]
dicom-map = { path = "dicom-map" }
# or with embedded mode (bakes tags.dmap into your binary):
# dicom-map = { path = "dicom-map", features = ["embedded"] }
let d = dicom_map::DmapDict::open("tags.dmap")?;
let t = d.lookup(0x0008, 0x0005, None).unwrap();
println!("{} {}", t.keyword(), t.vr());
C / C++
cargo build --release -p dicom-map-ffi
gcc my_app.c -I dicom-map-ffi/include -L target/release -ldicom_map_ffi
See dicom-map-ffi/include/dicom_map.h.
Quick start — rebuild from source
See DEVELOPMENT.md for the full repository layout, rebuild instructions, re-scrape pipeline, and test suite guide.
Data provenance and limitations
Private DICOM tags are inherently undocumented by design — the standard
deliberately leaves the (gggg, xxxx, creator) space to vendors, who are under
no obligation to publish or stabilise their tag definitions. Even official
conformance statements vary across product versions, may contradict each other,
and sometimes document tags that were quietly dropped or repurposed in later
firmware. This registry is a best-effort compilation for non-critical
use cases — it can help you understand what you're looking at in a DICOM file,
but it should not be the basis for clinical decisions, automated
de-identification, or any application where a wrong VR or stale name would cause
harm.
Notice: The private tag data in this repository is extracted by automated parsing of vendor-published conformance statement PDFs. It is not an authoritative standard and comes with no warranty of completeness or accuracy.
Sources:
- Public tags: DICOM Standard Part 6 (PS3.6) via the Innolitics JSON export.
- Private tags: 1,840 conformance statement PDFs from GE HealthCare, Siemens
Healthineers, Philips Healthcare, Canon Medical, and Acuson (Siemens ultrasound).
GE, Siemens, and Philips PDFs are archived at
archive.org/details/dicom-conformance-ge,
archive.org/details/dicom-conformance-siemens, and
archive.org/details/dicom-conformance-philips.
Canon PDFs are fetched directly from
global.medical.canon
and archived at
archive.org/details/dicom-conformance-canon.
Acuson PDFs are fetched directly from the Siemens Healthineers product page.
Original vendor source URLs are in
data/sources.json.
Each private tag record carries a sources field listing the specific PDF
file(s) (with page number anchors) that the definition was scraped from. This
is exposed at runtime via the lookup API — TagView::sources() in Rust and the
"sources" key in the Python dict — so you can always trace a tag back to the
document it came from.
Known limitations:
- Only PDFs in which the vendor explicitly tabulates private tag dictionaries are harvested (~21% of the corpus). Many conformance statements describe service classes but do not enumerate private tags — these are not gaps in our extraction, they simply contain nothing to extract.
- Some widely-used private tags (e.g.
(0019,100a)NumberOfImagesInMosaicfor Siemens MRI mosaics) were established by community reverse-engineering and do not appear in official conformance PDFs. They are absent from this registry. - Where the same (group, element, creator) appears in multiple PDFs with
conflicting VR types, the majority vote wins; the
vr_inferredflag marks the small number of cases where no majority existed. - Cross-referenced against pydicom's private dictionary for validation; some VR values were backfilled or corrected where pydicom had higher-confidence data.
- Multi-vendor products (e.g. the Siemens/GE joint AdvantageSim RT planning
system) can cause the same tag to appear in conformance PDFs from more than
one vendor. The
vendorsfield reflects all vendors whose documents reference a tag, not necessarily the vendor that originally defined it.
Status and roadmap
See ROADMAP.md for current state and planned work, and DEVELOPMENT.md for the binary format spec and contributor guide.
License
| What | License |
|---|---|
Source code (compiler/, dicom-map/, dicom-map-py/, dicom-map-ffi/, scraper/) |
Apache-2.0 |
Original compiled data (entries in tags.csv / tags.dmap whose sources field references a PDF) |
CC0 1.0 (public domain) |
pydicom / GDCM-derived entries (sources = ["pydicom"]) |
MIT (pydicom) + BSD-3-Clause (GDCM) — see THIRD_PARTY_LICENSES.md |
Full texts: LICENSE (Apache-2.0), LICENSE-DATA (CC0 1.0), THIRD_PARTY_LICENSES.md.
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