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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 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 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...
Conservation of Mass in Moving, Nondeforming Control Volume01:14

Conservation of Mass in Moving, Nondeforming Control Volume

Stormwater detention basins are essential in managing runoff during heavy rainfall, particularly in urban areas where impervious surfaces increase the risk of flooding. Understanding the conservation of mass in these systems allows engineers to optimize basin performance, balancing inflow, outflow, and water storage.
In the context of a detention basin, the conservation of mass states that the total mass of water entering the basin must equal the mass leaving the basin plus any accumulation of...
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...

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Updated: May 27, 2026

Quantitative Assessment Protocol for Facial Soft Tissue Volumetric Changes with Stereophotogrammetry
06:26

Quantitative Assessment Protocol for Facial Soft Tissue Volumetric Changes with Stereophotogrammetry

Published on: December 9, 2025

[Two-step image registration based on control volumes].

Guang-wen Lu1, Yao-qin Xie

  • 1School of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China. gwlu@fimmu.com

Nan Fang Yi Ke Da Xue Xue Bao = Journal of Southern Medical University
|December 1, 2011
PubMed
Summary
This summary is machine-generated.

This study introduces a novel image registration algorithm for radiotherapy, enhancing beam targeting accuracy and dose distribution. The robust method improves upon existing techniques for precise cancer treatment.

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Quantitative Assessment Protocol for Facial Soft Tissue Volumetric Changes with Stereophotogrammetry
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Published on: December 9, 2025

Four-Dimensional CT Analysis Using Sequential 3D-3D Registration
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Published on: November 23, 2019

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 Physics
  • Radiotherapy Technology
  • Image Analysis

Context:

  • Accurate image registration is crucial for effective radiotherapy planning and delivery.
  • Current methods for image registration in radiotherapy can be time-consuming and lack robustness, especially with significant anatomical changes.
  • Improving the precision of beam targeting directly impacts treatment efficacy and patient outcomes.

Purpose:

  • To develop and validate a robust image registration algorithm utilizing control volumes for enhanced accuracy in radiotherapy.
  • To improve dose distributions and beam targeting precision in radiation therapy through advanced image registration techniques.
  • To create a more automated and reliable image registration solution for clinical radiotherapy workflows.

Summary:

  • A novel two-step image registration algorithm combining control volume mapping and thin-plate spline deformable transformation was developed.
  • The algorithm employs bi-directional mapping for accurate control volume matching, significantly increasing the accuracy of deformable registration.
  • Simulations using clinical images demonstrated the algorithm's robustness and universality, performing well even with substantial deformations.

Impact:

  • The proposed algorithm offers a more convenient and robust alternative to manual landmark-based methods and single-step deformable transformations.
  • This advancement has the potential to facilitate automatic image registration in radiation therapy, streamlining clinical workflows.
  • Improved image registration accuracy can lead to more precise radiation delivery, potentially enhancing treatment effectiveness and reducing side effects.