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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.
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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 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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Radiological Investigation III: Pulmonary Angiogram and PET Scan01:13

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Radiological investigations are paramount in the diagnosis and management of various pulmonary diseases. Two essential investigations are the Pulmonary Angiogram and the Positron Emission Tomography (PET) Scan.
Pulmonary Angiogram
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Imaging Studies for Cardiovascular System III: X-Ray01:20

Imaging Studies for Cardiovascular System III: X-Ray

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The most common cardiovascular diagnostic test is an X-ray. It produces images of the heart, blood vessels, and adjacent structures.
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An X-ray, or radiograph, is a non-invasive method that uses ionizing radiation to take images of internal structures. It is mainly used in cardiac imaging to examine the heart, lungs, and major blood vessels, aiming to identify abnormalities in the heart's size, shape, and position, such as heart failure, congenital defects, and vascular...
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Imaging Studies VII: Vascular Imaging01:19

Imaging Studies VII: Vascular Imaging

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DefinitionRenal angiography, also known as renal arteriography, is an imaging technique used to obtain a comprehensive view of blood flow and the vascular structure of blood vessels in the kidneys and surrounding areas.PurposeRenal angiography detects blood vessel abnormalities in the kidneys, such as aneurysms, stenosis, thrombosis, vascular tumors, and renal artery stenosis. It evaluates kidney function and guides interventional treatments like angioplasty or stent placement.Pre-Procedure...
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Three-Dimensional Adaptive Image Compression Concept for Medical Imaging: Application to Computed Tomography

Guillaume Fahrni1, David C Rotzinger1,2, Chiaki Nakajo1

  • 1Cardiothoracic and Vascular Division, Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, 1011 Lausanne, Switzerland.

Journal of Cardiovascular Development and Disease
|May 27, 2022
PubMed
Summary

New medical image compression for computed tomography (CT) datasets balances compression rate and quality. This adaptive 3D method saves storage space while preserving crucial clinical information in CT angiography (CTA) images.

Keywords:
CT angiographycomputer aided segmentationimage processingmedical image compressionperipheral artery diseaseradiology

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Area of Science:

  • Medical imaging
  • Data compression
  • Radiology

Background:

  • Computed tomography (CT) generates large datasets, posing storage challenges.
  • Efficient medical image compression is crucial for managing increasing data volumes.
  • Balancing compression ratio and image quality is essential for clinical utility.

Purpose of the Study:

  • To develop a novel medical image compression concept for CT datasets.
  • To achieve an optimal compromise between compression rate and image quality.
  • To preserve clinically relevant information in compressed medical images.

Main Methods:

  • An adaptive 3D compression method utilizing multiple contexts and regions-of-interest (ROIs).
  • Lossless compression for high-priority ROIs; lossy compression for secondary ROIs and background.
  • Application to CT angiography (CTA) datasets of the lower extremity vasculature.

Main Results:

  • The method met quantitative criteria for high-quality encoding.
  • Achieved the highest qualitative image quality rating score compared to other methods.
  • Reduced average compressed image size by up to 61% with a 9:1 compression ratio.

Conclusions:

  • The proposed adaptive 3D compression method effectively reduces data storage space for CT images.
  • Clinical information is preserved while achieving significant data reduction.
  • This technique offers a superior balance of compression and quality for medical imaging.