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

You might also read

Related Articles

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

Sort by
Same author

Dosimetric characterization of CdZnTe radiation detectors under electron-beam irradiation.

PloS one·2026
Same author

Chiral phonon-mediated superconductivity in alkali-doped fullerides: A unified framework connecting molecular superconductors to two-dimensional chiral superconductivity.

Journal of physics. Condensed matter : an Institute of Physics journal·2026
Same author

Noncanonical Folding of Peptoid Oligomers: Formation of a Closed Conformation in Nonpolar Solvent.

Organic letters·2026
Same author

Echocardiographic Drag Effect Index and Its Association with Response to Mavacamten in Obstructive Hypertrophic Cardiomyopathy.

European heart journal. Cardiovascular Imaging·2026
Same author

Associations between frailty severity and dietary quality and food security among older Korean adults: a cross-sectional study.

BMC geriatrics·2026
Same author

Aldosterone excess, blood pressure control, and kidney outcomes in chronic kidney disease: findings from the Cardiovascular and Metabolic Disease Etiology Research Center-High Risk (CMERC-HI) Study.

Hypertension research : official journal of the Japanese Society of Hypertension·2026
Same journal

In radiation oncology, the best way to maintain patient safety when implementing cutting edge technologies such as AI-based and real-time adaptive techniques is through prospective hazard analysis.

Physical and engineering sciences in medicine·2026
Same journal

Compact neural network algorithm for electrocardiogram classification.

Physical and engineering sciences in medicine·2026
Same journal

Fat-suppression performance for in-stent plaque imaging after carotid artery stenting using three-dimensional T<sub>1</sub>-weighted MRI: a phantom study.

Physical and engineering sciences in medicine·2026
Same journal

Deep learning based depth of anaesthesia monitoring using EEG: a 4-layer CNN model with PSD and BSR correlation features.

Physical and engineering sciences in medicine·2026
Same journal

Design and implementation of an automated quality assurance tool for Hounsfield unit-to-relative electron density calibration in cone beam computed tomography imaging.

Physical and engineering sciences in medicine·2026
Same journal

Complementary roles of GPU-accelerated Monte Carlo and ArcCHECK in TomoTherapy quality assurance.

Physical and engineering sciences in medicine·2026
See all related articles

Related Experiment Video

Updated: Jul 17, 2025

Studying Soft-matter and Biological Systems over a Wide Length-scale from Nanometer and Micrometer Sizes at the Small-angle Neutron Diffractometer KWS-2
11:27

Studying Soft-matter and Biological Systems over a Wide Length-scale from Nanometer and Micrometer Sizes at the Small-angle Neutron Diffractometer KWS-2

Published on: December 8, 2016

12.3K

Phantom study of layered sensor module for photon-counting BMD detector.

Jangwon Byun1, Yonghoon Kim2, Jiwon Seo3,4

  • 1Department of Materials Science and Engineering, Korea University, Seoul, 02841, Republic of Korea.

Physical and Engineering Sciences in Medicine
|August 28, 2023
PubMed
Summary
This summary is machine-generated.

This study introduces a layered sensor module (LSM) for bone mineral density (BMD) calculation using X-rays. The novel mechanism improves accuracy for osteoporosis diagnosis.

Keywords:
Bone mineral densityCdTe-based detectorLayered sensor module

More Related Videos

Probing Nicotinic Acetylcholine Receptor Function in Mouse Brain Slices via Laser Flash Photolysis of Photoactivatable Nicotine
10:48

Probing Nicotinic Acetylcholine Receptor Function in Mouse Brain Slices via Laser Flash Photolysis of Photoactivatable Nicotine

Published on: January 25, 2019

9.3K
Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles
11:54

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

Published on: March 13, 2017

9.3K

Related Experiment Videos

Last Updated: Jul 17, 2025

Studying Soft-matter and Biological Systems over a Wide Length-scale from Nanometer and Micrometer Sizes at the Small-angle Neutron Diffractometer KWS-2
11:27

Studying Soft-matter and Biological Systems over a Wide Length-scale from Nanometer and Micrometer Sizes at the Small-angle Neutron Diffractometer KWS-2

Published on: December 8, 2016

12.3K
Probing Nicotinic Acetylcholine Receptor Function in Mouse Brain Slices via Laser Flash Photolysis of Photoactivatable Nicotine
10:48

Probing Nicotinic Acetylcholine Receptor Function in Mouse Brain Slices via Laser Flash Photolysis of Photoactivatable Nicotine

Published on: January 25, 2019

9.3K
Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles
11:54

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

Published on: March 13, 2017

9.3K

Area of Science:

  • Medical Imaging
  • Biophysics
  • Radiology

Background:

  • Accurate bone mineral density (BMD) measurement is crucial for diagnosing osteoporosis.
  • Traditional BMD calculation methods can be limited by spectral overlap and noise.
  • A novel approach is needed to enhance the precision and reliability of BMD assessment.

Purpose of the Study:

  • To develop and validate a layered sensor module (LSM) for precise bone mineral density (BMD) calculation.
  • To investigate the efficacy of LSM in differentiating X-ray energy spectra for improved image analysis.
  • To assess the feasibility of LSM for enhanced osteoporosis diagnosis.

Main Methods:

  • Designing a layered sensor module (LSM) to divide X-ray spectra into high- and low-energy components.
  • Utilizing gamma-ray absorption properties where low-energy photons are absorbed in the front detector and high-energy photons in the rear.
  • Employing the Prewitt operator for region of interest (ROI) classification and pixel sorting for BMD calculation and Rs value determination.

Main Results:

  • The LSM successfully divided a single X-ray shot into two distinct energy spectra, yielding images with varied contrast and grayscale properties.
  • BMD calculation yielded a value of 1.2051 g/cm² with a reduced standard deviation of 0.3690 g/cm² compared to previous studies.
  • Improvements in standard deviation were attributed to the layered structure, dual-channel signal processing, introduction of Rs value, and Prewitt filter application.

Conclusions:

  • The layered sensor module (LSM) demonstrates feasibility for accurate bone mineral density (BMD) calculation with reduced error.
  • The novel mechanism offers a promising approach for the early and reliable diagnosis of osteoporosis.
  • This technology has the potential to advance diagnostic capabilities in skeletal health assessment.