# Advanced X-ray and CT Imaging

**Type:** Topics  
**Canonical URL:** https://scholariq.org/topics/advanced-x-ray-and-ct-imaging/

## Facts

| Field | Value |
| --- | --- |
| Description | This cluster of papers focuses on the advancements and applications of Dual-Energy Computed Tomography (CT), including material differentiation, metal artifact reduction, photon-counting detectors, spectral imaging, virtual monochromatic imaging, K-edge imaging, iodine quantification, and material separation. The research covers a wide range of clinical and technical aspects of Dual-Energy CT in medical imaging. |
| Domain | Physical Sciences |
| Field | Engineering |
| OpenAlex ID | t12386 |
| Works | 168 |

## Topic papers all

Showing 15 of 168.

- [Radiomics: Extracting more information from medical images using advanced feature analysis](https://scholariq.org/papers/radiomics-extracting-more-information-from-medical-images-using-advanced-feature/)
- [Radiomics: the process and the challenges](https://scholariq.org/papers/radiomics-the-process-and-the-challenges/)
- [Low-Dose CT With a Residual Encoder-Decoder Convolutional Neural Network](https://scholariq.org/papers/low-dose-ct-with-a-residual-encoder-decoder-convolutional-neural-network/)
- [Assessment of Coronary Artery Disease by Cardiac Computed Tomography](https://scholariq.org/papers/assessment-of-coronary-artery-disease-by-cardiac-computed-tomography/)
- [ACCF/ACR/SCCT/SCMR/ASNC/NASCI/SCAI/SIR 2006 Appropriateness Criteria for Cardiac Computed Tomography and Cardiac Magnetic Resonance Imaging⁎⁎Developed in accordance with the principles and methodology outlined by ACCF: Patel MR, Spertus JA, Brindis RG, Hendel RC, Douglas PS, Peterson ED, Wolk MJ, Allen JM, Raskin IE. ACCF proposed method for evaluating the appropriateness of cardiovascular imaging. J Am Coll Cardiol 2005;46:1606–13.](https://scholariq.org/papers/accf-acr-scct-scmr-asnc-nasci-scai-sir-2006-appropriateness-criteria-for-cardiac/)
- [Comparison and Evaluation of Methods for Liver Segmentation From CT Datasets](https://scholariq.org/papers/comparison-and-evaluation-of-methods-for-liver-segmentation-from-ct-datasets/)
- [ACCF/AHA 2007 Clinical Expert Consensus Document on Coronary Artery Calcium Scoring By Computed Tomography in Global Cardiovascular Risk Assessment and in Evaluation of Patients With Chest Pain](https://scholariq.org/papers/accf-aha-2007-clinical-expert-consensus-document-on-coronary-artery-calcium/)
- [SCCT guidelines for the interpretation and reporting of coronary computed tomographic angiography](https://scholariq.org/papers/scct-guidelines-for-the-interpretation-and-reporting-of-coronary-computed/)
- [aLow-dose CT via convolutional neural network](https://scholariq.org/papers/alow-dose-ct-via-convolutional-neural-network/)
- [Stress echocardiography expert consensus statement: European Association of Echocardiography (EAE) (a registered branch of the ESC)](https://scholariq.org/papers/stress-echocardiography-expert-consensus-statement-european-association-of/)
- [Computed tomography for dimensional metrology](https://scholariq.org/papers/computed-tomography-for-dimensional-metrology/)
- [Industrial applications of computed tomography](https://scholariq.org/papers/industrial-applications-of-computed-tomography/)
- [SCCT guidelines for performance of coronary computed tomographic angiography: A report of the Society of Cardiovascular Computed Tomography Guidelines Committee](https://scholariq.org/papers/scct-guidelines-for-performance-of-coronary-computed-tomographic-angiography-a/)
- [Surgical data science for next-generation interventions](https://scholariq.org/papers/surgical-data-science-for-next-generation-interventions/)
- [Myocardial perfusion scintigraphy: the evidence](https://scholariq.org/papers/myocardial-perfusion-scintigraphy-the-evidence/)

## Topic primary papers

Showing 15 of 37.

- [Low-Dose CT With a Residual Encoder-Decoder Convolutional Neural Network](https://scholariq.org/papers/low-dose-ct-with-a-residual-encoder-decoder-convolutional-neural-network/)
- [aLow-dose CT via convolutional neural network](https://scholariq.org/papers/alow-dose-ct-via-convolutional-neural-network/)
- [Computed tomography for dimensional metrology](https://scholariq.org/papers/computed-tomography-for-dimensional-metrology/)
- [Industrial applications of computed tomography](https://scholariq.org/papers/industrial-applications-of-computed-tomography/)
- [LEARN: Learned Experts’ Assessment-Based Reconstruction Network for Sparse-Data CT](https://scholariq.org/papers/learn-learned-experts-assessment-based-reconstruction-network-for-sparse-data-ct/)
- [An exploratory study of contrast agents for soft tissue visualization by means of high resolution X‐ray computed tomography imaging](https://scholariq.org/papers/an-exploratory-study-of-contrast-agents-for-soft-tissue-visualization-by-means/)
- [Recent progress in X-ray CT as a geosciences tool](https://scholariq.org/papers/recent-progress-in-x-ray-ct-as-a-geosciences-tool/)
- [Recent micro-CT scanner developments at UGCT](https://scholariq.org/papers/recent-micro-ct-scanner-developments-at-ugct/)
- [Automated segmentation of normal and diseased coronary arteries – The ASOCA challenge](https://scholariq.org/papers/automated-segmentation-of-normal-and-diseased-coronary-arteries-the-asoca/)
- [Characterization of Incidental Renal Mass With Dual-Energy CT: Diagnostic Accuracy of Effective Atomic Number Maps for Discriminating Nonenhancing Cysts From Enhancing Masses](https://scholariq.org/papers/characterization-of-incidental-renal-mass-with-dual-energy-ct-diagnostic/)
- [Diagnostic Performance and Clinical Impact of Photon-Counting Detector Computed Tomography in Coronary Artery Disease](https://scholariq.org/papers/diagnostic-performance-and-clinical-impact-of-photon-counting-detector-computed/)
- [Imaging of lumbar spinal surgery complications](https://scholariq.org/papers/imaging-of-lumbar-spinal-surgery-complications/)
- [Dual-Energy CT Material Density Iodine Quantification for Distinguishing Vascular From Nonvascular Renal Lesions: Normalization Reduces Intermanufacturer Threshold Variability](https://scholariq.org/papers/dual-energy-ct-material-density-iodine-quantification-for-distinguishing/)
- [Virtual Unenhanced Images at Dual-Energy CT: Influence on Renal Lesion Characterization](https://scholariq.org/papers/virtual-unenhanced-images-at-dual-energy-ct-influence-on-renal-lesion/)
- [Use of AI in Cardiac CT and MRI: A Scientific Statement from the ESCR, EuSoMII, NASCI, SCCT, SCMR, SIIM, and RSNA](https://scholariq.org/papers/use-of-ai-in-cardiac-ct-and-mri-a-scientific-statement-from-the-escr-eusomii/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.