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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.
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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...
Region of Convergence01:17

Region of Convergence

The z-transform is a powerful mathematical tool used in the analysis of discrete-time signals and systems. It is a crucial tool in the analysis of discrete-time systems, but its convergence is limited to specific values of the complex variable z. This range of values, known as the Region of Convergence (ROC), is fundamental in determining the behavior and stability of a system or signal. The ROC defines the region in the complex plane where the z-transform converges, which can take various...
Imaging Studies I: CT and MRI01:14

Imaging Studies I: CT and MRI

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...
Imaging Studies for Cardiovascular System VI: Calcium -Scoring CT01:25

Imaging Studies for Cardiovascular System VI: Calcium -Scoring CT

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Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images
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Application of region selective embedded zerotree wavelet coder in CT image compression.

Guoli Li1, Jian Zhang, Qunjing Wang

  • 1Institute of Physics Plasma, China Academe, Hefei 230031, China.

Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference
|February 7, 2007
PubMed
Summary

Medical image compression is vital due to large data sizes. A region-selective EZW coder effectively compresses useful CT image data, reducing storage waste and improving results.

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Area of Science:

  • Medical Imaging
  • Image Processing
  • Data Compression

Background:

  • Medical image preservation faces challenges due to massive data volumes.
  • Standard image compression methods may be inefficient for medical images, which contain non-essential information.
  • Storing superfluous data in CT images represents a significant waste of resources.

Purpose of the Study:

  • To develop an efficient compression technique for medical images.
  • To address the issue of compressing only relevant information in CT scans.
  • To reduce data storage requirements for medical imaging.

Main Methods:

  • Proposed a region-selective Embedded Zerotree Wavelet (EZW) coder.
  • Implemented a method to identify and select only the useful regions within medical images for compression.
  • Tested the proposed coder on sample CT images.

Main Results:

  • The region-selective EZW coder demonstrated effective compression of medical images.
  • The method successfully isolated and compressed essential image information.
  • Positive results were observed in the compression tests, indicating efficiency.

Conclusions:

  • Region-selective compression is a viable approach for medical images.
  • The proposed EZW coder effectively reduces data storage needs by targeting useful image content.
  • This technique offers a practical solution for medical image preservation and management.