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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...
Imaging Studies II: Ultrasonography01:24

Imaging Studies II: Ultrasonography

IntroductionUltrasonography, or renal ultrasound, is a noninvasive medical imaging technique that uses high-frequency sound waves to visualize the kidneys, ureters, bladder, and surrounding tissues.Indications for Urinary System UltrasonographyUrinary system ultrasonography is indicated in various clinical scenarios, such as:Kidney Stones (Urolithiasis): To detect and monitor the size and presence of kidney or urinary tract stones.Hydronephrosis: To assess the dilation of the renal pelvis and...
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 III: X-Ray01:20

Imaging Studies for Cardiovascular System III: X-Ray

The most common cardiovascular diagnostic test is an X-ray. It produces images of the heart, blood vessels, and adjacent structures.
Definition and Purpose
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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Related Experiment Video

Updated: Jun 2, 2026

Reconstruction of 3-Dimensional Histology Volume and its Application to Study Mouse Mammary Glands
10:59

Reconstruction of 3-Dimensional Histology Volume and its Application to Study Mouse Mammary Glands

Published on: July 26, 2014

Revisiting intensity-based image registration applied to mammography.

Yago Díez1, Arnau Oliver, Xavier Lladó

  • 1Institute of Informatics and Applications, University of Girona, Girona, Spain. yago@eia.udg.edu

IEEE Transactions on Information Technology in Biomedicine : a Publication of the IEEE Engineering in Medicine and Biology Society
|May 10, 2011
PubMed
Summary

Accurate mammographic image registration is crucial for detecting subtle abnormalities. This study demonstrates that local deformable methods, specifically multiresolution B-Spline deformations, achieve the highest accuracy in mammogram analysis.

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Related Experiment Videos

Last Updated: Jun 2, 2026

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Reconstruction of 3-Dimensional Histology Volume and its Application to Study Mouse Mammary Glands

Published on: July 26, 2014

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Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns

Published on: August 30, 2013

Multimodal Cross-Device and Marker-Free Co-Registration of Preclinical Imaging Modalities
07:13

Multimodal Cross-Device and Marker-Free Co-Registration of Preclinical Imaging Modalities

Published on: October 27, 2023

Area of Science:

  • Medical imaging
  • Radiology
  • Image analysis

Background:

  • Detecting architectural distortions in mammograms is vital for early cancer diagnosis.
  • Image registration techniques are essential for comparing mammographic images over time or between breasts.

Purpose of the Study:

  • To quantitatively evaluate state-of-the-art intensity-based image registration methods for mammography.
  • To assess the suitability of various registration paradigms (global, rigid, local deformable) for mammographic analysis.

Main Methods:

  • Applied a range of intensity-based image registration methods, including global rigid and local deformable transformations.
  • Utilized various metrics and multiresolution approaches for registration.
  • Conducted quantitative analysis and a multiobserver study on temporal mammographic cases.

Main Results:

  • Local deformable paradigms, particularly multiresolution B-Spline deformations, yielded the most accurate registration results.
  • Contrary to previous assumptions, local deformable methods proved suitable and robust for mammographic analysis.
  • The evaluation provided insights into the accuracy and robustness of different registration algorithms.

Conclusions:

  • Multiresolution B-Spline deformable registration is highly accurate and robust for mammographic image analysis.
  • This method can reliably detect architectural distortions and abnormal structures in mammograms.
  • The findings support the use of advanced deformable registration for improved mammography interpretation.