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Related Concept Videos

Computed Tomography01:10

Computed Tomography

9.6K
Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
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Imaging Studies III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

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DefinitionComputed Tomography (CT) of the genitourinary (GU) tract is a non-invasive imaging modality that utilizes X-rays and computer processing to generate detailed cross-sectional images of the urinary system, encompassing the kidneys, ureters, bladder, and adjacent structures such as the adrenal glands.PurposeCT scans of the GU tract serve several diagnostic and therapeutic purposes, including:Diagnosis of Urinary Tract Diseases: Detects kidney stones, tumors, cysts, and congenital...
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Imaging Studies I: CT and MRI01:14

Imaging Studies I: CT and MRI

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Introduction: MRI and CT scans are crucial advancements in medical imaging techniques, playing a vital role in diagnosing conditions related to the gastrointestinal (GI) system. Each scan serves distinct purposes, targets specific areas, and requires unique nursing duties.
Description of the Procedures
Computed Tomography (CT) scan:
Computed Tomography (CT) scans use X-ray technology to generate detailed images of bones, organs, and tissues. During the scan, the patient lies on a moving table...
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Imaging Studies for Cardiovascular System V: CT01:28

Imaging Studies for Cardiovascular System V: CT

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Cardiac computed tomography (CT) scanning is an advanced cardiac imaging technique that utilizes CT technology, with or without intravenous (IV) contrast, to produce accurate cross-sectional virtual slices of specific areas of the heart, coronary circulation, and major blood vessels such as the aorta, pulmonary veins, and arteries. The computer processes these slices to generate three-dimensional images. Multidetector CT (MDCT) is a rapid form of CT scanning that captures multiple slices...
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Imaging Studies for Cardiovascular System IV: CMRI01:21

Imaging Studies for Cardiovascular System IV: CMRI

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Cardiovascular magnetic resonance imaging, or CMRI, is a non-invasive diagnostic test that employs a magnetic field and radiofrequency waves to create precise images of the heart and arteries. It provides comprehensive information about cardiac anatomy, function, perfusion, and tissue characterization without ionizing radiation.IndicationsCMRI diagnoses various heart conditions, including tissue damage from heart attacks, ischemic heart disease, myocarditis, aortic issues (tears, aneurysms,...
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Updated: Apr 7, 2026

Combined Near-infrared Fluorescent Imaging and Micro-computed Tomography for Directly Visualizing Cerebral Thromboemboli
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Combined Near-infrared Fluorescent Imaging and Micro-computed Tomography for Directly Visualizing Cerebral Thromboemboli

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Radiomic Feature Extraction Based on Computed Tomography for Stroke Patients.

Alamgir Hossain1, Jolly Sultana2, Shahed Hossain3

  • 1Department of Physics, University of Rajshahi, Laxipur, Bangladesh.

Journal of Medical Physics
|April 6, 2026
PubMed
Summary
This summary is machine-generated.

Radiomics analysis of computed tomography (CT) scans significantly improves stroke diagnosis and classification. This advanced imaging technique achieved 87.2% accuracy, aiding in better patient outcomes.

Keywords:
Computed tomographyextractionmedical image processingradiomic featurestroke patients

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Area of Science:

  • Radiology and Medical Imaging
  • Artificial Intelligence in Healthcare
  • Biomedical Data Science

Background:

  • Stroke is a leading cause of death and disability globally, necessitating timely and accurate diagnosis for effective treatment.
  • Current diagnostic methods for stroke rely on imaging, but advancements are needed to improve classification and prediction.
  • Radiomics offers a novel approach to extract quantitative features from medical images, potentially enhancing diagnostic capabilities.

Purpose of the Study:

  • To investigate the utility of radiomics in improving computed tomography (CT)-based stroke evaluation.
  • To enhance the diagnosis, classification, and prediction of stroke for improved patient outcomes.
  • To explore the application of advanced image processing techniques in stroke analysis.

Main Methods:

  • Retrospective analysis of CT scans from 65 stroke patients (2023-2024).
  • Image acquisition using Siemens Somatom Perspective and Fujifilm Supria True64 CT scanners.
  • Radiomic feature extraction (shape, first-order statistics, texture) using 3D Slicer, with image processing techniques (erosion, dilation) applied to axial, coronal, and sagittal views.

Main Results:

  • Significant differences (P < 0.05) were identified through statistical examination.
  • Receiver operating characteristic (ROC) analysis demonstrated promising diagnostic performance with 87.2% accuracy via 10-fold cross-validation.
  • High area under the curve (AUC) values were achieved for @10Percentile (0.879) and @90Percentile (0.911) features, indicating strong diagnostic potential.

Conclusions:

  • Complex image processing, feature extraction, and segmentation algorithms significantly benefit stroke imaging analysis.
  • Radiomics, combined with diagnostic parameters like ROC curves and visualization tools (heatmaps), enables accurate stroke lesion identification and stratification.
  • This study highlights the potential of radiomics to improve the diagnostic accuracy and prognostic capabilities in stroke evaluation using CT imaging.