Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

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...
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 for Cardiovascular System IV: CMRI01:21

Imaging Studies for Cardiovascular System IV: CMRI

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,...
Imaging Studies VII: Vascular Imaging01:19

Imaging Studies VII: Vascular Imaging

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

Imaging Studies for Cardiovascular System VI: Calcium -Scoring CT

Calcium-Scoring CT ScanA calcium-scoring CT scan, also known as coronary artery calcium (CAC) scan, detects calcium deposits in the coronary arteries. This test assesses the risk of coronary artery disease (CAD), which can lead to cardiovascular events such as angina, heart failure, and sudden cardiac arrest.A calcium-scoring CT scan is generally recommended for individuals at intermediate risk of CAD without symptoms. It includes:Men aged 40-75 and women aged 50-75: Especially those with a...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Artificial Intelligence-informed Architectural Insights of 3-dimensional Glandular Networks Identify Patients With Prostate Cancer at a Higher Risk of Biochemical Recurrence.

Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc·2026
Same author

Spatio-Temporal Characterization of Gastric Distensibility in Upper Endoscopy Identifies the Presence of Helicobacter pylori.

IEEE transactions on medical imaging·2026
Same author

Towards deep-learning based detection and quantification of intestinal metaplasia on digitized gastric biopsies: a multi-expert comparative study.

Scientific reports·2026
Same author

Multimodal educational model for the management of placenta accreta spectrum: Participants' perceived usefulness.

International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics·2026
Same author

Systematic characterization of mammalian extracellular vesicles using nano-flow cytometry.

Extracellular vesicle·2025
Same author

Interpretable weakly-supervised learning through kernel density matrices: A digital pathology use case.

PloS one·2025
Same journal

[Chi o ji: precisión del lenguaje científico en español].

Biomedica : revista del Instituto Nacional de Salud·2026
Same journal

Association between genetic ancestry and EDAR rs3827760 genotypes in Latin American populations

Biomedica : revista del Instituto Nacional de Salud·2026
Same journal

Genetic diversity and antiretroviral resistance of human immunodeficiency virus type 1 in Peruvian military personnel during one year of follow-up

Biomedica : revista del Instituto Nacional de Salud·2026
Same journal

Epidemiological analysis of congenital syphilis in the department of Antioquia, Colombia, 2021 and 2022

Biomedica : revista del Instituto Nacional de Salud·2026
Same journal

Co-infection by Leishmania spp. and Trypanosoma cruzi in Didelphis marsupialis (Mammalia: Didelphimorphia) from urban areas of Ovejas, Colombia

Biomedica : revista del Instituto Nacional de Salud·2026
Same journal

Barriers to access to health services for people with orphan-rare diseases in Huila, Colombia

Biomedica : revista del Instituto Nacional de Salud·2026
See all related articles

Related Experiment Video

Updated: May 11, 2026

Image Rendering Techniques in Postmortem Computed Tomography: Evaluation of Biological Health and Profile in Stranded Cetaceans
12:32

Image Rendering Techniques in Postmortem Computed Tomography: Evaluation of Biological Health and Profile in Stranded Cetaceans

Published on: September 27, 2020

[Medical image compression: a review].

Tatiana Noreña1, Eduardo Romero

  • 1Grupo de Investigación Bioingenium, Facultad de Medicina, Universidad Nacional de Colombia, Bogotá, D.C., Colombia.

Biomedica : Revista Del Instituto Nacional De Salud
|May 30, 2013
PubMed
Summary
This summary is machine-generated.

Medical imaging generates vast data, straining storage and increasing costs. This review analyzes compression techniques for efficient clinical image storage and use.

Related Experiment Videos

Last Updated: May 11, 2026

Image Rendering Techniques in Postmortem Computed Tomography: Evaluation of Biological Health and Profile in Stranded Cetaceans
12:32

Image Rendering Techniques in Postmortem Computed Tomography: Evaluation of Biological Health and Profile in Stranded Cetaceans

Published on: September 27, 2020

Area of Science:

  • Medical Informatics
  • Radiology

Context:

  • Modern medicine relies on diverse data, including medical images, crucial for diagnosis and follow-up.
  • Rapidly increasing medical imaging data overwhelms current storage capacities, leading to higher costs.
  • Cloud computing offers virtual storage but faces limitations due to internet connectivity.

Purpose:

  • To review and critically analyze image compression techniques for medical applications.
  • To evaluate the suitability of various compression algorithms for clinical settings.

Summary:

  • This paper reviews image compression techniques relevant to medical data storage.
  • It critically analyzes these methods focusing on their applicability and effectiveness in clinical environments.
  • The need for powerful, medically adapted compression algorithms is highlighted due to data volume challenges.

Impact:

  • Optimizing medical image storage through effective compression can reduce costs.
  • Improved data management supports efficient clinical workflows and diagnostic processes.
  • This analysis aids in selecting appropriate compression strategies for healthcare institutions.