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Published at November 2

Guided Synthesis of Labeled Brain MRI Data Using Latent Diffusion Models for Segmentation of Enlarged Ventricles

cs.CV

cs.AI

Released Date: November 2, 2024

Authors: Tim Ruschke¹, Jonathan Frederik Carlsen², Adam Espe Hansen², Ulrich Lindberg³, Amalie Monberg Hindsholm³, Martin Norgaard⁴, Claes Nøhr Ladefoged⁵

Aff.: ¹Department of Computer Science, University of Copenhagen (UCPH), Denmark; DEPICT, Centre for AI and Medical Imaging, Rigshospitalet, Denmark; ²Department of Radiology, Rigshospitalet, Denmark; DEPICT, Centre for AI and Medical Imaging, Rigshospitalet, Denmark; Department of Clinical Medicine, UCPH, Denmark; ³Department of Clinical Physiology and Nuclear Medicine, Rigshospitalet, Denmark; DEPICT, Centre for AI and Medical Imaging, Rigshospitalet, Denmark; ⁴Department of Computer Science, University of Copenhagen (UCPH), Denmark; Molecular Imaging Branch, National Institute of Mental Health, United States; ⁵Department of Clinical Physiology and Nuclear Medicine, Rigshospitalet, Denmark; DEPICT, Centre for AI and Medical Imaging, Rigshospitalet, Denmark; Department of Applied Mathematics and Computer Science, Technical University of Denmark, Denmark

Arxiv: http://arxiv.org/abs/2411.01351v1

Model Type	Dice	IoU	Volume MAE	Volume MSE
nnU_real	$0.891\pm 0.046$	$\mathbf{0.807\pm 0.069}$	$9.09\pm 12.18$	$231.02\pm 959.74$
nnU_syn	$0.872\pm 0.058$	$0.778\pm 0.085$	$7.52\pm 4.81$	$79.74\pm 110.73$
nnU_aug	$\mathbf{0.892\pm 0.047}$	$0.807\pm 0.072$	$\mathbf{6.23\pm 4.33}$	$\mathbf{57.50\pm 83.24}$
SynthSeg	$0.874\pm 0.056$	$0.781\pm 0.084$	$7.73\pm 12.12$	$208.03\pm 893.28$