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Radiomika×Iterativna rekonstrukcija CT-a×DEXA×
PodručjeMedicinsko slikovno prikazivanjeMedicinsko slikovno prikazivanjeMedicinsko slikovno prikazivanje
ObiteljProcess / pipelineProcess / pipelineProcess / pipeline
Godina nastanka201219741987
TvoracPhilippe LambinRichard GordonHarold Wahner
VrstaMachine learning-based texture and morphology analysisAlgorithm for tomographic image reconstructionX-ray-based bone density measurement
Temeljni izvorLambin, P., Rios-Velazquez, E., Leijenaar, R., et al. (2012). Radiomics: extracting more information from medical images using advanced feature analysis. Nature Reviews Clinical Oncology, 9(12), 676-684. DOI ↗Gordon, R., Bender, R., Herman, G. T. (1974). Algebraic reconstruction techniques (ART) for three-dimensional electron microscopy and X-ray photography. Journal of Theoretical Biology, 29(3), 471-481. link ↗Kanis, J. A. (1994). Assessment of fracture risk and its application to screening for postmenopausal osteoporosis. World Health Organization Technical Report Series, 843, 1-129. link ↗
Drugi nazivitexture analysis, radiomics analysis, quantitative imaging biomarkersMBIR, ASIR, IR-CT, statistical reconstructionDual X-ray absorptiometry, DXA, bone densitometry
Srodne555
SažetakRadiomics is a computational methodology that extracts large numbers of quantitative features from medical images (CT, MRI, PET) using automated image analysis and machine learning to discover imaging biomarkers associated with disease phenotype, prognosis, and treatment response. Developed by Lambin, Gillies, and colleagues in 2012, radiomics aims to decode the biology underlying visible imaging patterns, enabling personalized medicine through image-based phenotyping. It has emerged as a powerful tool in oncology for tumor characterization, prognosis prediction, and therapy response assessment.CT Iterative Reconstruction (IR) is a computational technique that reconstructs tomographic images from raw X-ray projection data by iteratively refining an estimate of tissue attenuation until it matches the measured projections. Developed from algebraic reconstruction techniques pioneered by Gordon in 1974, iterative reconstruction has revolutionized clinical CT by enabling high-quality images at reduced radiation dose. Variants such as Adaptive Statistical Iterative Reconstruction (ASIR) and Model-Based Iterative Reconstruction (MBIR) are now standard on modern CT scanners.Dual-Energy X-ray Absorptiometry (DEXA or DXA) is a non-invasive imaging technique that quantifies bone mineral density (BMD) by measuring the attenuation of X-rays at two different energies as they pass through bone and soft tissue. First developed by Wahner and colleagues in 1987, DEXA has become the gold standard for osteoporosis screening and fracture risk assessment. It is recommended by the World Health Organization for diagnosing osteoporosis and monitoring treatment response.
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ScholarGateUsporedite metode: Radiomics · CT Iterative Reconstruction · DEXA. Preuzeto 2026-06-20 s https://scholargate.app/hr/compare