Results 41 to 50 of about 18,034 (258)

Microstructural Evolution and Vacancy Defect Formation in Mn–Mo–Ni RPV Steel Under Low Cycle Fatigue: Insights From EBSD and PALS

Advanced Engineering Materials, EarlyView.
Low‐cycle fatigue damage in Mn–Mo–Ni reactor pressure vessel steel is examined using a combined electron backscatter diffraction and positron annihilation lifetime spectroscopy approach. The study correlates texture evolution, dislocation substructure development, and vacancy‐type defect formation across uniform, necked, and fracture regions, providing
Apu Sarkar, Dhanadeep Dutta, G. Bharat Reddy   +2 more
wiley   +1 more source

The Influence of Tube Potential on Periodontal Bone Level Measurements and Subjective Image Quality Using a Digital Photostimulable Storage Phosphor Sensor [PDF]

eJournal of Oral Maxillofacial Research, 2010
Objectives: The purpose of the present study was to determine the measurement accuracy and subjective image quality for periodontal disease diagnosis when using two X-ray tube voltages with a digital photostimulable storage phosphor sensor.Material and ...
Reinhilde Jacobs, Bart Vandenberghe
doaj  

Imaging Findings and Clinical Features of Primary Spinal Epithelioid Hemangioendothelioma

Frontiers in Oncology, 2022
Rationale and ObjectivesPrimary spinal epithelioid hemangioendothelioma (SEHE) is an extremely rare angiocentric vascular neoplasm with inherent metastatic potential, which pursues a clinical course intermediate between hemangioma and angiosarcoma.
Pan Liang, Bing-Bing Zhu, Xiu-Chun Ren, Jian-Bo Gao   +3 more
doaj   +1 more source

Polarization Sensitivity of Chiral Manganese Halide Scintillators Enables High‐Resolution X‐Ray Imaging

Advanced Functional Materials, EarlyView.
Highly luminescent chiral manganese halide crystals are synthesized using chiral ligands, and they exhibit dissymmetry factors up to 1.4 × 10−2 and show X‐ray detection scintillation capability with a light yield of 43 380 photons/MeV and a low detection limit of 0.05198 µGyair·s−1.
Yue Han, Jun'an Lai, Peng He, Wenxia Zhang, Xirong Ke, Shengsi Liu, Kang An, Xiao‐Fang Jiang, Lakshminarayana Polavarapu, Xiaosheng Tang   +9 more
wiley   +1 more source

Development of a Computational Tool for the Estimation of Alveolar Bone Loss in Oral Radiographic Images

Computation, 2022
The present study evaluated a newly developed computational tool (CT) to assess the alveolar bone space and the alveolar crest angle and compares it to dentist assessment (GT).
M. Maithri, Dhanush G. Ballal, Santhosh Kumar, U. Raghavendra, Anjan Gudigar, Wai Yee Chan, Shravya Macherla, Ravindranath Vineetha, Pratibha Gopalkrishna, Edward J. Ciaccio, U. Rajendra Acharya   +10 more
doaj   +1 more source

Affinity‐Tuned Albumin Hitchhiking Extends the Bioorthogonal Capture Window in Pretargeting Radiotheranostics

Advanced Healthcare Materials, EarlyView.
Pharmacokinetic engineering of clickable radioligands was achieved via albumin hitchhiking approach within a pretargeted radiotheranostics delivery platform. This approach reduced rapid renal elimination, expanded bioorthogonal capture window, boosted tumor uptake by ∼3.5‐fold, and improved the tumor‐to‐liver ratio by ∼6‐fold.
Xie He, Nicholas L. Fletcher, Gayathri R. Ediriweera, Yifei Zhu, James Humphries, Christopher B. Howard, Jiazheng Wang, Craig A. Bell, Kristian Kempe, Kristofer J. Thurecht   +9 more
wiley   +1 more source

Nanoplatforms for Sentinel and Tumor‐Draining Lymph Node Mapping: From Visualization to Pathway‐Informed Staging

Advanced Healthcare Materials, EarlyView.
Lymphotropic nanoplatforms integrate multimodal imaging with therapeutic guidance to map sentinel and tumor‐draining lymph nodes, revealing functional drainage, metastatic involvement, and nodal accessibility, while providing mechanistic insight to support precision surgical and therapeutic interventions.
Xu Chen, Nina Li, Meiyan Zou, Zihao Zhou, Rongwei Xu, Weiyao Feng, Xinyuan Zhao, Li Cui   +7 more
wiley   +1 more source

Investigation on the effects of radiographic image quality attributes on the performance of convolutional neural networks (CNNS) in detecting COVID-19

PUP Journal of Science and Technology
Radiographic image quality is one of the factors that impacts professionals’ decisions when diagnosing lung diseases using X-ray images. Hence, poor radiographic image quality could result in a misleading diagnosis affecting the person being ...
Reymond R. Mesuga
doaj   +1 more source

Intelligent Orthopedics: Machine Learning in Diagnosis of Bone Disease, Implants, and Bone Health Monitoring

Advanced Healthcare Materials, EarlyView.
Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei, Hesam Mohammadi, Shamim Golafshan, Mojtaba Alehosseini, Mahsa Mohammadzadeh, Atefeh Golshirazi, Nasim Golafshan, Tatiane Eufrásio‐da‐Silva, Alireza Dolatshahi‐Pirouz, Gorka Orive   +9 more
wiley   +1 more source

Performance of digital radiography with enhancement filters for the diagnosis of proximal caries

Brazilian Oral Research, 2013
Enhancement filters are potentially supposed to improve the diagnostic performance of digital images. Thus, the aim of this study was to compare the performance of digital radiography with and without enhancement filters for the detection of induced ...
Manuella Dias Furtado Belém, Gláucia Maria Bovi Ambrosano, Cínthia Pereira Machado Tabchoury, Rívea Inês Ferreira-Santos, Francisco Haiter-Neto   +4 more
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