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dicomtk is a self-contained, tidyverse-compliant R
interface to the OFFIS DICOM Toolkit (DCMTK 3.7.1) with
native C++17 / Rcpp bindings, ggplot2 /
Shiny / 3D volume visualization, PACS networking, and
local/cloud LLM integration (Ollama, OpenAI,
Anthropic Claude).
dcm_file <- system.file("extdata", "example.dcm", package = "dicomtk")
# Long tidy tibble of DICOM elements
hdr <- read_dicom(dcm_file)
hdr |>
filter(group %in% c("0008", "0028")) |>
select(tag, vr, keyword, name, value) |>
head(10)
#> # A tibble: 10 × 5
#> tag vr keyword name value
#> <chr> <chr> <chr> <chr> <chr>
#> 1 (0008,0005) CS SpecificCharacterSet Specific Character Set "ISO_IR 100"
#> 2 (0008,0008) CS ImageType Image Type "ORIGINAL\\PRI…
#> 3 (0008,0012) DA InstanceCreationDate Instance Creation Date "20010101"
#> 4 (0008,0013) TM InstanceCreationTime Instance Creation Time "002816"
#> 5 (0008,0014) UI InstanceCreatorUID Instance Creator UID "1.3.6.1.4.1.5…
#> 6 (0008,0016) UI SOPClassUID SOP Class UID "1.2.840.10008…
#> 7 (0008,0018) UI SOPInstanceUID SOP Instance UID "1.3.6.1.4.1.5…
#> 8 (0008,0020) DA StudyDate Study Date "20010101"
#> 9 (0008,0021) DA SeriesDate Series Date "20010101"
#> 10 (0008,0022) DA AcquisitionDate Acquisition Date "20010101"
# Wide format (1 row per file, columns named by DICOM keyword)
read_dicom(dcm_file, wide = TRUE) |>
select(any_of(c("file", "Modality", "Rows", "Columns", "BitsAllocated")))
#> # A tibble: 1 × 5
#> file Modality Rows Columns BitsAllocated
#> <chr> <chr> <chr> <chr> <chr>
#> 1 /tmp/RtmpJkUnqX/Rinsteb77d2f93ac/dicomtk… CT 512 512 16ggplot2, Clinical Windows,
and 3D MPR/MIP)# Configure local Ollama or OpenAI/Anthropic provider
# ollama_llm <- dicom_llm("ollama", model = "llava:13b")
# openai_llm <- dicom_llm("openai", model = "gpt-4o")
# claude_llm <- dicom_llm("anthropic", model = "claude-sonnet-4-20250514")
# Deterministic local mode for offline reproducibility
local_ai <- dicom_llm("offline")
dicom_summarize(dcm_file, llm = local_ai)
#> [1] "DICOM Study Summary: CT imaging study (General Study) acquired on GE MEDICAL SYSTEMS system. Series: SmartScore - Gated 0.5 sec (Body Part: Not specified). Image Matrix: 512 x 512 pixels (16-bit MONOCHROME2)."
dicom_report(dcm_file, llm = local_ai)
#> # A tibble: 4 × 2
#> section content
#> <chr> <chr>
#> 1 EXAMINATION CT - - SmartScore - Gated 0.5 sec
#> 2 TECHNIQUE DICOM Study Summary: CT imaging study (General Study) acquired on…
#> 3 FINDINGS DICOM Image Analysis (CT, 512x512, Photometric: MONOCHROME2): Res…
#> 4 IMPRESSION Automated quantitative and metadata review completed. Correlate c…These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.