Read, write, anonymize, and convert DICOM medical imaging files with pydicom and NumPy/Pillow support.
npx skills add https://github.com/dralkh/seerai --skill pydicom-dralkh
Please help me install this Agent Skill. Skill: pydicom Source: https://github.com/dralkh/seerai/tree/main/skills/pydicom Command: npx skills add https://github.com/dralkh/seerai --skill pydicom-dralkh
It removes the manual friction of reading, editing, anonymizing, and converting DICOM medical imaging files, so you can work with clinical image data more efficiently and safely.
Use the pydicom skill to read the attached DICOM file, extract its metadata, and summarize the most important imaging fields.
High-intent search queries and answers about installing and using this skill.
You can extract DICOM pixel data using pydicom alongside numpy and pillow to handle image arrays, apply windowing, and process grayscale or color images for CT, MRI, and X-ray files.
Anonymizing DICOM metadata involves replacing or removing protected health information from patient, study, and series tags before sharing files for research or collaboration.
Yes, pydicom supports processing multi-frame CT and MRI series, allowing you to extract image arrays, apply windowing, and browse metadata across complex medical imaging studies.
You can convert DICOM images to common formats like PNG by extracting pixel data with pydicom, processing arrays with numpy, and saving the selected frames using pillow.
Reading compressed DICOM files requires optional compression handlers like pylibjpeg or python-gdcm because specific transfer syntaxes need dedicated decoders to unpack and process the embedded pixel data reliably.
ovachieverRead, write, and anonymize DICOM files with pydicom.
shushuznExtract pixel data and metadata from DICOM datasets using pydicom.
jaechang-hitsRead, write, and manipulate DICOM medical imaging files with pydicom.
LogauaEngstromRead, write, modify, and anonymize DICOM datasets in Python.
