Blog - PYCAD - Your Medical Imaging Partner

Three rows of lung CT crops, a sagittal slice and two zooms, comparing the ground-truth CT, X2CT, the diffusion prior alone, DAPS, and PhyDiCT reconstructed from eight X-ray projections (Dai et al., arXiv:2610.09253, Fig. 2)

Eight X-ray Projections In, a Generated 3D Lung CT Volume Out With No Training but About 22 Minutes of GPU Time

Give it eight simulated X-ray projections around the chest and it steers a frozen, text-conditioned lung CT diffusion model until its own rendered X-rays match, returning a 3D volume with no paired training. It takes about 22 minutes per volume on an RTX 6000, is built for lung CT only, and was tested on X-rays simulated from CT-RATE scans, so the output is a plausible estimate, not a measurement. Apache 2.0 code. Dai et al., arXiv:2610.09253.

October 9, 2026

Rows of coronary artery cases: two segmented angiogram input masks, the CT 3D artery label, a fragmented AutoCAR voxel reconstruction, and the connected PPCAR-Net reconstruction (Ren et al., arXiv:2610.09383, Fig. 4)

Two Coronary Angiogram Masks In, One Connected 3D Artery Tree With Radii Out in About a Tenth of a Second

Give it one to seven segmented coronary angiogram views and their gantry angles, and it returns one connected 3D artery tree with a radius along every branch in about 0.12 s on an RTX 4090, with no point matching between views. Trained and scored on simulated masks from CT. MIT code and checkpoints public. Ren et al., arXiv:2610.09383.

October 9, 2026

Abdominal CT slice with noise and three inserted lesions in circles, shown unfiltered, after Gaussian smoothing scored worse by RIQE, and after bilateral filtering scored best by RIQE while the 4 mm lesion fades (Mattiussi, arXiv:2610.00384, Fig. 4)

CT Slice In, No-Reference Quality Score Out That Catches Dose Noise but Should Not Pick Your Denoiser

Give it one CT slice and it returns a no-reference quality score fitted on public full-dose scans. It flags simulated dose reduction, added noise and blur, but it prefers an edge-preserving filter that wipes out most of a small lesion. MIT code, CC BY model. Mattiussi, arXiv:2610.00384.

October 8, 2026

PYCAD BLOG

Insights on Medical Imaging, AI & DICOM

Eight X-ray Projections In, a Generated 3D Lung CT Volume Out With No Training but About 22 Minutes of GPU Time

Two Coronary Angiogram Masks In, One Connected 3D Artery Tree With Radii Out in About a Tenth of a Second

CT Slice In, No-Reference Quality Score Out That Catches Dose Noise but Should Not Pick Your Denoiser

Brain T1 Plus Tumor Mask In, Slice-Consistent Healthy Tissue Fill Out for Registration and Parcellation

Prostate MRI Near Rectal Gas or Metal In, Undistorted High-Resolution DWI and ADC Out

3D T1 Brain MRI In, Closest Real Scans Out, Searchable by Whole Brain or Any of 103 Regions

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