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Related Concept Videos

Computed Tomography01:10

Computed Tomography

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...
Imaging Studies III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

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...
Imaging Studies for Cardiovascular System V: CT01:28

Imaging Studies for Cardiovascular System V: CT

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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3D Imaging of Soft-Tissue Samples using an X-ray Specific Staining Method and Nanoscopic Computed Tomography
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Low-dose computed tomography image restoration using previous normal-dose scan.

Jianhua Ma1, Jing Huang, Qianjin Feng

  • 1Department of Biomedical Engineering, Southern Medical University, Guangzhou, Guangdong 510515, China. jerome@mil.sunysb.edu

Medical Physics
|October 14, 2011
PubMed
Summary
This summary is machine-generated.

This study introduces a new method to restore low-dose computed tomography (CT) images by using previous normal-dose scans. The previous normal-dose scan induced nonlocal means (ndiNLM) algorithm effectively reduces noise while preserving image quality for better diagnostics.

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Area of Science:

  • Medical Imaging
  • Image Processing
  • Radiology

Background:

  • Computed tomography (CT) radiation dose is a significant concern.
  • Lowering radiation dose (mAs or kVp) increases image noise.
  • Existing methods may not adequately control noise in low-dose CT.

Purpose of the Study:

  • To present an innovative method for low-dose CT image restoration.
  • To utilize previous normal-dose CT scans as a priori information.
  • To improve signal restoration in current low-dose CT image series.

Main Methods:

  • Adapted the nonlocal means (NLM) algorithm for low-dose CT.
  • Developed the previous normal-dose scan induced nonlocal means (ndiNLM) algorithm.
  • Optimized nonlocal weights and adaptively estimated smoothing parameters.

Main Results:

  • Evaluated ndiNLM on phantoms and clinical CT scans (abdominal, brain perfusion).
  • Demonstrated noticeable gain in accuracy and resolution compared to non-prior methods.
  • ndiNLM showed robustness in preserving spatial resolution and identifying low-contrast structures.

Conclusions:

  • The ndiNLM method is effective for low-dose CT image restoration.
  • It preserves spatial resolution and identifies low-contrast structures.
  • ndiNLM may benefit clinical applications like perfusion imaging, radiotherapy, and tumor surveillance.