Hugging Face's logo

Datasets:
DEPICT-RH
/
BIC-MAC

Tasks:
Image-to-Image
Tags:
PET
CT
MRI
generative-ai
attenuation-correction
medical-imaging
Dataset card Files
xet
 Community

You need to agree to share your contact information to access this dataset

This repository is publicly accessible, but you have to accept the conditions to access its files and content.

Log in or Sign Up to review the conditions and access this dataset content.

To access this dataset, please register at http://bic-mac-challenge.github.io/.

BIC-MAC Challenge Dataset

Dataset for the Big Cross-Modal Attenuation Correction (BIC-MAC) challenge — a medical imaging challenge where participants synthesize pseudo-CT images from non-attenuation-corrected PET (NAC-PET), whole-body MRI, and 2D topograms, enabling CT-less PET reconstruction.

Dataset

99 healthy volunteers (20 test, 75 train, 4 validation)

Split Subjects Contents
train/ (full) 8 features + CT labels + sinograms + PET labels
train/ (no recon) 67 features + CT labels
val/ 4 features + sinograms

Each subject directory contains:

  • features/ — NAC-PET, whole-body DIXON MRI (4 chunks × 2 phases + combined), 2D topogram, demographics
  • ct-label/ — ground-truth CT in HU, body/organ/face segmentations
  • recon/ — STIR sinogram files and reconstruction metadata (labeled train + val only)
  • pet-label/ — ground-truth attenuation-corrected PET, body/organ segmentations (labeled train only)

Download

Full dataset (643 GB):

hf download DEPICT-RH/BIC-MAC \
    --repo-type dataset \
    --local-dir ./bic-mac-data \

Without sinogram data (45 GB):

The recon/ folders contain raw sinogram files and account for 93% of the dataset size. For training the CT-synthesis model, you only need the NIfTI files, and so the sinograms can be omitted to save space. The sinograms are only needed to run the reconstruction pipeline and evaluate PET metrics locally. See the challenge codebase for details.

hf download DEPICT-RH/BIC-MAC \
    --repo-type dataset \
    --local-dir ./bic-mac-data \
    --exclude "*/recon/*"

Sinogram data for óne subject (50gb)

To save space, you can download the sinogram folders for individual cases.

hf download DEPICT-RH/BIC-MAC \
    --repo-type dataset \
    --local-dir ./bic-mac-data \
    --include "train/sub-000/recon/*"

The following subjects have recon folders:

  • train/: sub-000, sub-001, sub-002, sub-005, sub-006, sub-008 ,sub-013 ,sub-014
  • val/: sub-004 ,sub-009 ,sub-010 ,sub-018
Downloads last month
32