67 citations
- Stanford UniversityUS4 papers
- University of OxfordGB3 papers
- Argonne National LaboratoryUS2 papers
- Benedictine UniversityUS2 papers
- Brookhaven National LaboratoryUS2 papers
- California Institute of TechnologyUS2 papers
- Cleveland ClinicUS2 papers
- Collège de FranceFR2 papers
- College of the Holy CrossUS2 papers
- Fermi National Accelerator LaboratoryUS2 papers
- Harvard UniversityUS2 papers
- Illinois Institute of TechnologyUS2 papers
18 papers
q3-MuPa: Quick, Quiet, Quantitative Multi-Parametric MRI using Physics-Informed Diffusion Models
Shishuai Wang, Florian Wiesinger, Noemi Sgambelluri +4
The 3D fast silent multi-parametric mapping sequence with zero echo time (MuPa-ZTE) is a novel quantitative MRI (qMRI) acquisition that enables nearly silent scanning by using a 3D…
A dynamic shim approach for correcting eddy current effects in diffusion-prepared MRI acquisition using a multi-coil AC/DC shim-array
Congyu Liao, Jason P. Stockmann, Zhitao Li +18
Purpose: We developed a dynamic B0 shimming approach using a 46-channel AC/DC shim array to correct phase errors caused by eddy currents from diffusion-encoding gradients in diffus…
WiseLVAM: A Novel Framework For Left Ventricle Automatic Measurements
Durgesh Kumar Singh, Qing Cao, Sarina Thomas +3
Clinical guidelines recommend performing left ventricular (LV) linear measurements in B-mode echocardiographic images at the basal level -- typically at the mitral valve leaflet ti…
Object independent scatter sensitivities for PET, applied to scatter estimation through fast Monte Carlo simulation
Simon Noë, Seyed Amir Zaman Pour, Ahmadreza Rezaei +3
Scattered coincidences introduce quantitative bias in positron emission tomography (PET) and must be compensated during reconstruction. Conventional scatter estimates typically rel…
Dual-Input Dynamic Convolution for Positron Range Correction in PET Image Reconstruction
Youness Mellak, Alexandre Bousse, Thibaut Merlin +3
Positron range (PR) blurring degrades positron emission tomography (PET) image resolution, particularly for high-energy emitters like gallium-68 (68 Ga). We introduce Dual-Input Dy…
SAMRI-2: A Memory-based Model for Cartilage and Meniscus Segmentation in 3D MRIs of the Knee Joint
Danielle L. Ferreira, Bruno A. A. Nunes, Xuzhe Zhang +3
Accurate morphometric assessment of cartilage-such as thickness/volume-via MRI is essential for monitoring knee osteoarthritis. Segmenting cartilage remains challenging and depende…