Results 181 to 190 of about 7,931,210 (255)

Phantom imaging demonstration of positronium lifetime with a long axial field-of-view PET/CT and ¹²⁴I. [PDF]

EJNMMI Phys
Mercolli L, Steinberger WM, Rathod N, Conti M, Moskal P, Rominger A, Seifert R, Shi K, Stępień EŁ, Sari H.   +9 more
europepmc   +1 more source

Controlling Grain Growth in Powder Bed Fusion of Yttria‐Stabilized Zirconia Using Femtosecond Lasers: Challenges and Methodological Insights

Advanced Engineering Materials, EarlyView.
Binder‐free laser powder bed fusion of 8YSZ with a femtosecond laser is used to map process windows linking scan strategy, heat accumulation, and grain growth. Time‐resolved thermography and simulations reveal thermal regimes that enable continuous, vitrified, and fine‐grained 8YSZ surface layers without absorptive additives and demonstrate ...
Markus Kühn, Sarah Kaden, Andrea Barz, Daniel Störzner, Jens Bliedtner, Andrés Fabián Lasagni   +5 more
wiley   +1 more source

Enhanced accuracy of cardiac ⁸²Rb PET functional parameters with 16-compared to 8-gated imaging on a long-axial-field-of-view PET system: validation against echocardiography. [PDF]

Eur J Nucl Med Mol Imaging
Gözlügöl N, Zangeneh FA, Sari H, Bosbach WA, Zeimpekis K, Rominger A, Gräni C, Caobelli F.   +7 more
europepmc   +1 more source

Simulation‐Based Analysis of Insert Pull‐Out in Nickel‐Polyurethane Hybrid Foams Using CT‐Derived Geometries

Advanced Engineering Materials, EarlyView.
CT‐based finite element simulations combined with in situ X‐ray computed tomography are used to analyze insert pull‐out in nickel‐coated polymer foams. Despite variations in material parameters, deformation consistently concentrates within a narrow annular region around the insert.
Yannik Bautz, Jonas Fell, Hendrik Jost, Stefan Diebels, Hans‐Georg Herrmann   +4 more
wiley   +1 more source

The impact of long axial field of view (LAFOV) PET on oncologic imaging. [PDF]

Eur J Radiol
Cook GJR, Alberts IL, Wagner T, Fischer BM, Nazir MS, Lilburn D.   +5 more
europepmc   +1 more source

Design of a Multistable Finger Prosthesis with Programmable Metamaterials

Advanced Engineering Materials, EarlyView.
This research article shows the development of a multistable programmble metamaterial for the use as a finger prosthesis. The material was designed on different hierarchical levels where the influence of geometrical parameters and combination of mechanical elements was explored.
Franziska Wenz, Jannik Krohn, Alexander Leichner, Dilip Chalissery, Heiko Andrae, Chris Eberl   +5 more
wiley   +1 more source

A retrospective comparison of [¹⁸F]FDG radiation dose following a transition from conventional to long axial field of view PET/CT. [PDF]

Phys Eng Sci Med
Chen WJ, Rae WID, Kench PL, Willowson KP, Bailey DL, Bailey EA, Fearnside H, Kelliher E, Meikle SR.   +8 more
europepmc   +1 more source

Fabrication Routes for Ionic Conducting Fiber Strain Sensors

Advanced Engineering Materials, EarlyView.
Ionic conducting fiber strain sensors (ICFSs) offer compliant, textile‐integrable sensing. Thus far, the commercialization of ICFSs has been constrained by fiber fabrication routes. This review provides a fabrication‐centric analysis of ICFSs correlating processing strategies with material properties and scalability.
Leo John Kershaw, Zhanhong Yang, Anne Ladegaard Skov, Magdalena Skowyra   +3 more
wiley   +1 more source

Morphology, Transport, and Dynamics of Protein Adsorption in Open‐Cell Metal Foam

Advanced Engineering Materials, EarlyView.
Stainless steel (SS) open‐cell foams are shown to adsorb more protein per unit area than previously reported 316L SS and chromium oxide surfaces under static and flow conditions. An integrated approach combining 3D pore imaging, flow simulation, and protein adsorption experiments characterizes the foam’s performance.
Chinmaya Prerana Inguva, Joseph Lavoie, Afsaneh Rabiei   +2 more
wiley   +1 more source

Feasibility of shortening the ¹⁸F-FDG Patlak scan time in a high-sensitivity short-axial field-of-view positron emission tomography-computed tomography system for oncological studies using deep learning denoising algorithms. [PDF]

Quant Imaging Med Surg
Wang L, Zhang S, Yang S, Ma R, Li H, Liu J, Gao J, Wei Y, Fu L.   +8 more
europepmc   +1 more source