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

Computed Tomography01:10

Computed Tomography

9.2K
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...
9.2K
Imaging Studies III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

514
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...
514

You might also read

Related Articles

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

Sort by
Same author

Insights into bibliometric analyses.

JBI evidence synthesis·2025
Same author

The extended and advanced clinical practices of radiographers worldwide: A scoping review.

Journal of medical imaging and radiation sciences·2024
Same author

A pilot study to identify suitable MRI protocols for preoperative planning of total hip arthroplasty.

European journal of radiology·2024
Same author

Adjustments of iodinated contrast media using lean body weight for abdominopelvic computed tomography: A systematic review and meta-analysis.

European journal of radiology·2024
Same author

Optimization of CT pulmonary angiography for pulmonary embolism using task-based image quality assessment and diagnostic reference levels: A multicentric study.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)·2024
Same author

Proposed DRLs for mammography in Switzerland.

Journal of radiological protection : official journal of the Society for Radiological Protection·2024
Same journal

Synthetic CT-enabled weekly adaptive radiotherapy for nasopharyngeal carcinoma: Optimizing plan adaptation triggers through volumetric-dosimetric monitoring.

Journal of applied clinical medical physics·2026
Same journal

Method for simultaneous selection of treatment isocenters and margins for polymetastatic extracranial stereotactic ablative radiotherapy.

Journal of applied clinical medical physics·2026
Same journal

Pulse‑level characterization of low monitor unit deliveries on a modern linear accelerator using a plastic scintillation detector.

Journal of applied clinical medical physics·2026
Same journal

Improving image quality in terbium-161 phantom imaging: Quantitative evaluation of DEW and TEW scatter correction methods.

Journal of applied clinical medical physics·2026
Same journal

Latent density discrepancies in commercial lung-equivalent inserts and their clinical dosimetric impact.

Journal of applied clinical medical physics·2026
Same journal

Explainable machine learning for patient-specific quality assurance in intensity-modulated radiotherapy based on anatomical structures.

Journal of applied clinical medical physics·2026
See all related articles

Related Experiment Video

Updated: Mar 6, 2026

Longitudinal Micro-Computed Tomography Image Analysis for User-Defined Region of Interest in Critical-Sized Bone Defects
08:39

Longitudinal Micro-Computed Tomography Image Analysis for User-Defined Region of Interest in Critical-Sized Bone Defects

Published on: June 24, 2025

686

Optimal slice thickness for object detection with longitudinal partial volume effects in computed tomography.

Pascal Monnin1,2, Nicolas Sfameni1, Achille Gianoli1

  • 1Haute Ecole de Santé Vaud (HESAV), Filière TRM, Lausanne, Switzerland.

Journal of Applied Clinical Medical Physics
|March 15, 2017
PubMed
Summary
This summary is machine-generated.

Longitudinal partial volume effects (z-axial PVE) in CT imaging reduce image contrast. This study presents a model to optimize reconstruction parameters, balancing resolution and noise for better visibility of subslice objects.

Keywords:
artifacts and distortioncomputed tomographycontrastnoisespatial resolution

More Related Videos

Segmentation and Linear Measurement for Body Composition Analysis using Slice-O-Matic and Horos
13:35

Segmentation and Linear Measurement for Body Composition Analysis using Slice-O-Matic and Horos

Published on: March 21, 2021

12.0K
Thinned-skull Cortical Window Technique for In Vivo Optical Coherence Tomography Imaging
07:28

Thinned-skull Cortical Window Technique for In Vivo Optical Coherence Tomography Imaging

Published on: November 19, 2012

15.8K

Related Experiment Videos

Last Updated: Mar 6, 2026

Longitudinal Micro-Computed Tomography Image Analysis for User-Defined Region of Interest in Critical-Sized Bone Defects
08:39

Longitudinal Micro-Computed Tomography Image Analysis for User-Defined Region of Interest in Critical-Sized Bone Defects

Published on: June 24, 2025

686
Segmentation and Linear Measurement for Body Composition Analysis using Slice-O-Matic and Horos
13:35

Segmentation and Linear Measurement for Body Composition Analysis using Slice-O-Matic and Horos

Published on: March 21, 2021

12.0K
Thinned-skull Cortical Window Technique for In Vivo Optical Coherence Tomography Imaging
07:28

Thinned-skull Cortical Window Technique for In Vivo Optical Coherence Tomography Imaging

Published on: November 19, 2012

15.8K

Area of Science:

  • Medical Imaging Physics
  • Radiological Sciences
  • Image Reconstruction

Background:

  • Longitudinal partial volume effects (z-axial PVE) in computed tomography (CT) degrade image resolution and contrast, particularly for subslice objects.
  • Reducing slice thickness can mitigate PVE but increases image noise or radiation dose, necessitating a careful optimization of CT protocols.

Purpose of the Study:

  • To develop a tool for optimizing CT reconstruction parameters (slice thickness and spacing) to manage z-axial PVE.
  • To establish an analytical model for predicting the impact of z-axial PVE on contrast and contrast-to-noise ratio (CNR).
  • To balance axial resolution and image noise for improved visibility of low-contrast anatomical features.

Main Methods:

  • Development of a simplified analytical model to assess the statistical effect of z-axial PVE on contrast and CNR.
  • Scanning a Catphan 500 phantom with varying pitches and CTDI, followed by reconstruction with different slice thicknesses.
  • Evaluation of subslice target visibility using human observer detectability scores and comparison with CNR.

Main Results:

  • The analytical model accurately predicted contrast and CNR reduction due to z-axial PVE, with deviations below 5% compared to numerical calculations.
  • The model successfully identified optimal reconstruction parameters to maximize object visibility for a given radiation dose.
  • An optimal slice thickness of three-fourths the object width was determined for non-overlapping slices.

Conclusions:

  • The developed analytical model provides an effective tool for optimizing CT reconstruction parameters in the presence of z-axial PVE.
  • Optimal parameters maximize object visibility and the tradeoff between detectability and radiation dose.
  • Recommended parameters include a slice spacing of half the slice thickness and a slice width matching the characteristic object width.