Brain-CT-Motion-Correction v1-20260226

wudufan33@www.nitrc.org (Dufan Wu) — Thu, 26 Feb 2026 22:02:00 GMT

Datasets associated used to develop diffusion models for motion correction in head CT. It contains 80 training volumes and 20 validation volumes of fixed CT, and 72 patients with fixed and portable CT within 2 days as testing volumes. 
 
The related papers are:
"Chen Z, Yoon S, Strotzer Q, Khalid RN, Tivnan M, Li Q, Gupta R, Wu D. Portable head CT motion artifact correction via diffusion-based generative model. Computerized Medical Imaging and Graphics. 2025 Jan 1;119:102478."
"Chen Z, Strotzer Q, Lang M, Vejdani-Jahromi M, Yu B, Khalid RN, Yoon S, Tivnan M, Li Q, Lev MH, Gupta R, Wu D. Diffusion Model-Based Motion Correction in Portable Computed Tomography for Brain: A Human Observer Study. Academic radiology. 2026 Jan 7."
The code are available at https://github.com/zhennongchen/Diffusion_for_CT_motion

Portable PCCT v1-20260225

wudufan33@www.nitrc.org (Dufan Wu) — Wed, 25 Feb 2026 20:34:00 GMT

Portable PCCT volumes reconstructed using offline software. All images were reconstructed into 0.49 mm pixel size and slice thickness of 0.707 mm for 6x5 binning or 0.848 mm for 3x3 binning. Each volume has three channels (>30 keV, >40 keV, >50 keV).
Each 7z package also contains an MECT calibration phantom for the patients in that package.

Portable Brain PCCT from ICU Releases

Brain-CT-Motion-Correction v1-20260226

Portable PCCT v1-20260225