Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Computed Tomography

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...

You might also read

Related Articles

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

Sort by

Same author

Assessment of Technical and Clinical Success of Percutaneous Transhepatic Biliary Drainage for Postoperative Bile Leaks: A Favorable Alternative to Early Surgical Revision?

Cureus·2026

Same author

Off-label use of a WRAPSODY<sup>TM</sup> stent-graft in the portal vein for septic gas embolism following pancreatic abscess fistulization: a case report.

Quantitative imaging in medicine and surgery·2026

Same author

Monitoring of Patients on Efanesoctocog Alfa Using SynthASil.

International journal of laboratory hematology·2026

Same author

Protected quantum gates using qubit doublons in dynamical optical lattices.

Nature·2026

Same author

Noninvasive Predictive Model for Rapid Hemodynamic Optimization During Mechanical Circulatory Support.

ASAIO journal (American Society for Artificial Internal Organs : 1992)·2026

Same author

Obesity surgery improves metabolic dysfunction-associated steatotic liver disease and type 2 diabetes - MRI and biochemical analysis of liver and pancreas.

Surgery open science·2026

Search research articles

Related Experiment Video

Updated: Jun 22, 2026

Three-Dimensional Reconstruction for the Whole Lung with Early Multiple Pulmonary Nodules

Three-Dimensional Reconstruction for the Whole Lung with Early Multiple Pulmonary Nodules

Published on: October 13, 2023

How many CT detector rows are necessary to perform adequate three dimensional visualization?

Lars Fischer¹, Ralf Tetzlaff, Max Schöbinger

¹Department of Surgery, University of Heidelberg, Germany. lars.fischer@med.uni-heidelberg.de

European Journal of Radiology

|June 30, 2009

Summary

The number of detector rows in computed tomography (CT) does not significantly impact 3D image quality for surgical planning. While 16-row CT offered faster liver segmentation, 4- and 16-row CT provided better hepatic vein branching detail than 64-row CT.

More Related Videos

Using High Resolution Computed Tomography to Visualize the Three Dimensional Structure and Function of Plant Vasculature

Using High Resolution Computed Tomography to Visualize the Three Dimensional Structure and Function of Plant Vasculature

Published on: April 5, 2013

High Resolution 3D Imaging of Ex-Vivo Biological Samples by Micro CT

High Resolution 3D Imaging of Ex-Vivo Biological Samples by Micro CT

Published on: June 21, 2011

Related Experiment Videos

Last Updated: Jun 22, 2026

Three-Dimensional Reconstruction for the Whole Lung with Early Multiple Pulmonary Nodules

Three-Dimensional Reconstruction for the Whole Lung with Early Multiple Pulmonary Nodules

Published on: October 13, 2023

Using High Resolution Computed Tomography to Visualize the Three Dimensional Structure and Function of Plant Vasculature

Using High Resolution Computed Tomography to Visualize the Three Dimensional Structure and Function of Plant Vasculature

Published on: April 5, 2013

High Resolution 3D Imaging of Ex-Vivo Biological Samples by Micro CT

High Resolution 3D Imaging of Ex-Vivo Biological Samples by Micro CT

Published on: June 21, 2011

Area of Science:

Medical Imaging
Radiology
Computer-Aided Surgery

Background:

Advancements in computed tomography (CT) technology have led to scanners with increased detector rows (e.g., 4, 16, and 64 rows).
High-quality 3D visualizations derived from CT data are crucial for preoperative planning in various surgical interventions.

Purpose of the Study:

To investigate the correlation between the number of CT detector rows and the quality of resulting 3D visualizations.
To assess if higher detector row counts in CT imaging lead to improved 3D image quality for surgical planning.

Main Methods:

Retrospective analysis of 32 CT datasets (12 from 4-row, 12 from 16-row, 10 from 64-row CT scanners).
Blinded evaluation of CT scans, measuring segmentation time for liver and vessels, and branching depth of portal and hepatic veins.
Quality assessment using a validated quality index for 3D visualizations.

Main Results:

16-row CT significantly reduced liver segmentation time compared to 4-row and 64-row CT (p<0.01).
Hepatic vein branching depth was significantly better visualized with 4-row and 16-row CT compared to 64-row CT (p=0.028).
No statistically significant differences were found in the quality index grading for portal veins, hepatic veins, or overall vessel tree quality across different CT row counts.

Conclusions:

The number of CT detector rows does not appear to be a determining factor for the quality of 3D images used in surgical planning.
Despite technical advancements, the clinical utility of 3D visualizations for operation planning is not directly enhanced by increasing CT detector rows.