Beatriz Dominguez Gonzalez

Beatriz Materialise
Advanced Visualization
Bringing 3D surface modeling to the heart of radiology
Structured 3D workflows embedded within radiology departments are increasingly becoming part of routine care.
March 13, 2026
Beatriz Dominguez Gonzalez, global market manager, Materialise
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Top Stories
Representative SV2A PET images comparing synaptic density in healthy and disease states. The left panel shows F-18 SynVesT-1 PET distribution volume (VT) maps of the brain and spinal cord in a naïve control mouse and a mouse with experimental autoimmune encephalomyelitis (EAE), a model of multiple sclerosis. The right panel shows Cu-11 UCB-J PET images of the brain of a 46-year-old male healthy control (left) and 43-year-old female MS patient (right).
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SNMMI: PET reveals new brain activity in multiple sclerosis
Understanding how and where certain brain connections are lost can help explain the symptoms patients experience.
(A-C) Representative whole-body maximum-intensity projection images and regional fused PET/CT images from three histologically confirmed osteosarcoma patients who underwent paired [68Ga]Ga-B7-H3-BCH PET/CT and 18F-FDGE PET/CT within seven days. (D) Multimodal imaging evaluation of Patient Three, including x-ray, MRI (T2-weighted imaging, T2WI), CT, and B7-H3 PET/CT.
SNMMI 2026
SNMMI: New PET platform guides real-time bone cancer margin assessment
Slab reconstruction provides visualization of subtle architectural distortion similar to that of standard 1-mm slices in a false-positive screening exam. Images include breast exams from a 45-year-old woman who underwent screening mammography. Craniocaudal tomosynthesis images with (A) 1-mm slices and (B) 6-mm slab reconstructions show an area of architectural distortion in the subareolar region of the left breast (arrow). (C) Targeted ultrasound imaging shows a corresponding irregular hypoechoic mass (arrow), which was subsequently biopsied. Pathologic examination revealed a sclerosing papillary lesion.
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SNMMI: Biomarkers predict I-131 response in obese thyroid cancer patients
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