Tootfinder

Opt-in global Mastodon full text search. Join the index!

No exact results. Similar results found.
@memeorandum@universeodon.com
2026-06-09 03:40:41

Vance refers Gov. Tim Walz and Minnesota attorney general to DOJ for fraud investigation (NBC News)
nbcnews.com/politics/trump-adm
memeorandum.com/260608/p124#a2

@Mediagazer@mstdn.social
2026-05-15 19:30:53

The AP confirms it is laying off an unspecified number of US-based journalists today; News Media Guild: of 120 journalists offered buyouts, around 40 took them (Jocelyn Noveck/Associated Press)
apnews.com/article/news-indust

@arXiv_physicsmedph_bot@mastoxiv.page
2026-07-23 07:43:08

PRIME-SVR: Physics-infoRmed Implicit Multi-Echo Slice-to-Volume Reconstruction for Fetal T2 mapping
Busra Bulut, Maik Dannecker, Thomas Sanchez, Sara Neves Silva, Steven Jia, Jean-Baptiste Ledoux, Leo Pomar, Joanna Sichitiu, Yvan Gomez, Meriam Koob, Vincent Dunet, Maria Deprez, Guillaume Auzias, Francois Rousseau, Jana Hutter, Daniel Rueckert, Meritxell Bach Cuadra
arxiv.org/abs/2607.20136 arxiv.org/pdf/2607.20136 arxiv.org/html/2607.20136
arXiv:2607.20136v1 Announce Type: new
Abstract: Slice-to-volume reconstruction (SVR) is the standard method for obtaining high-resolution (HR) 3D fetal brain volumes from motion-corrupted 2D MRI slice stacks acquired in multiple orientations. Existing SVR methods are optimized and validated only for clinical-range echo times (TEs), limiting their use at non-clinical TEs and making them incompatible with quantitative T2 mapping, a protocol- and center-independent biomarker of fetal brain maturation requiring HR reconstructions across multiple TEs. We present PRIME-SVR, the first implicit neural representation (INR) framework for joint HR reconstruction from multi-echo MRI. A single fully connected network models a continuous function from spatial coordinates to signal intensities across TEs, while a second network estimates slice-specific acquisition degradations. Cross-TE coherence is enforced via a Bloch equation-derived regularization penalizing deviations from expected T2 decay, with adaptive weighting that strengthens coupling for degraded stacks. The method is fully self-supervised. We validate PRIME-SVR on 39 in vivo fetal acquisitions (13 subjects x 3 TEs) from two centers, two vendors, and two field strengths (1.5 T and 0.55 T). Compared to state-of-the-art SVR, PRIME-SVR improves reconstruction sharpness by 47%, anatomical accuracy by 30%, and cross-TE structural consistency by 14%. It enables reconstruction at late TEs previously inaccessible to SVR, yielding the first 0.8 mm isotropic T2 maps at 0.55 T and the first T2 maps derived from INR-based SVR. PRIME-SVR also accelerates quantitative imaging by reducing the data needed for multi-TE reconstruction, cutting acquisition from 15 to 10 minutes while keeping T2 accuracy within 1.7% in white and deep gray matter, or to 5 minutes with a mean T2 error of 2.3% for high-quality acquisitions.
toXiv_bot_toot

@Mediagazer@mstdn.social
2026-05-26 20:40:49

The WA News Guild, representing workers at four McClatchy papers, held a one-day strike over wages and AI protection; Boise's Idaho Statesman also had a walkout (Dalton Day/KING-TV)
king5.com/article/news/local/w