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Related Concept Videos

Computed Tomography01:10

Computed Tomography

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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

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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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Updated: Nov 27, 2025

Author Spotlight: Integrated Photoacoustic, Ultrasound, and Angiographic Tomography (PAUSAT) for NonInvasive Whole-Brain Imaging of Ischemic Stroke
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A wavelet transform-based photon starvation artifacts suppression algorithm in CT imaging.

Shilei Hao1,2, Jin Liu3, Yang Chen1,4,5,6

  • 1Laboratory of Image Science and Technology, School of Computer Science and Engineering, Southeast University, Nanjing, People's Republic of China.

Physics in Medicine and Biology
|December 2, 2020
PubMed
Summary
This summary is machine-generated.

Photon starvation artifacts in computed tomography (CT) cause image streaks. A new post-processing method using wavelet transformation and anisotropic diffusion effectively suppresses these artifacts in CT images.

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Area of Science:

  • Medical Imaging
  • Radiology
  • Image Processing

Background:

  • High attenuation in computed tomography (CT) leads to photon starvation artifacts.
  • These artifacts manifest as streaks, potentially causing misdiagnosis by obscuring details.

Purpose of the Study:

  • To develop and validate a post-image processing technique for suppressing photon starvation streak artifacts in CT.
  • To improve the diagnostic quality of CT images affected by photon starvation.

Main Methods:

  • A semi-adaptive anisotropic diffusion filter was applied to high-frequency sub-bands after wavelet transformation (WASA).
  • The method was evaluated using both phantom and clinical CT data.

Main Results:

  • The WASA method effectively suppressed photon starvation streak artifacts.
  • Qualitative and quantitative experiments demonstrated the method's efficacy.

Conclusions:

  • The proposed WASA technique offers a robust solution for mitigating photon starvation artifacts in CT imaging.
  • This post-processing approach enhances image quality without introducing new artifacts or excessive noise.