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

Anatomical Positions

Anatomical Positions

In anatomy, several standard anatomical positions are used as references for describing the position and orientation of different body parts. These positions help provide a common frame of reference when discussing anatomical structures. The anatomical position is the standard reference point for describing the body's position and orientation. In this position:
The body is upright, facing forward, and standing erect.
The feet are parallel and flat on the floor.
The arms are hanging by the...

You might also read

Related Articles

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

Sort by

Same author

Primary anterior cruciate ligament tears are associated with a shift from varus-dominant to neutral and valgus coronal alignment phenotypes.

Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA·2026

Same author

Functional Impact of Pain and Its Association With Sarcopenia in the Elderly: The Birjand Longitudinal Aging Study (BLAS).

Pain research & management·2026

Same author

Smart Logistics Model for Supply Chain Management via Brain-Inspired Geometric Deep Networks.

Biomimetics (Basel, Switzerland)·2026

Same author

3D brain tumor segmentation using an improved V-Net architecture and 3D attention gate.

Neuroimage. Reports·2026

Same author

Outcome of arthroscopic ACL avulsion fixation using adjustable Endobutton: a case series report of new surgical technique.

International journal of surgery case reports·2026

Same author

Twisted epidural catheter mimicking epidural hematoma in a hemophilic patient: a case report.

Annals of medicine and surgery (2012)·2026

Search research articles

Related Experiment Video

Updated: Jul 2, 2025

Quantification of Levator Ani Hiatus Enlargement by Magnetic Resonance Imaging in Males and Females with Pelvic Organ Prolapse

Quantification of Levator Ani Hiatus Enlargement by Magnetic Resonance Imaging in Males and Females with Pelvic Organ Prolapse

Published on: April 17, 2019

Concurrent Learning Approach for Estimation of Pelvic Tilt from Anterior-Posterior Radiograph.

Ata Jodeiri^1,2, Hadi Seyedarabi¹, Sebelan Danishvar³

¹Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz 51666, Iran.

Bioengineering (Basel, Switzerland)

|February 23, 2024

Summary

This study introduces VGG-UNET, a novel deep learning method for accurately estimating pelvic tilt (PT) from X-rays. VGG-UNET significantly improves PT prediction accuracy for total hip arthroplasty planning.

Keywords:

U-NET VGG convolutional neural network multi-task learning pelvic tilt segmentation total hip arthroplasty

More Related Videos

Evaluation of Patients' Posture and Gait Profile After Lumbar Fusion Surgery by Video Rasterstereography and Treadmill Gait Analysis

Published on: March 23, 2019

In Vivo Quantification of Hip Arthrokinematics during Dynamic Weight-bearing Activities using Dual Fluoroscopy

In Vivo Quantification of Hip Arthrokinematics during Dynamic Weight-bearing Activities using Dual Fluoroscopy

Published on: July 2, 2021

Related Experiment Videos

Last Updated: Jul 2, 2025

Quantification of Levator Ani Hiatus Enlargement by Magnetic Resonance Imaging in Males and Females with Pelvic Organ Prolapse

Quantification of Levator Ani Hiatus Enlargement by Magnetic Resonance Imaging in Males and Females with Pelvic Organ Prolapse

Published on: April 17, 2019

Evaluation of Patients' Posture and Gait Profile After Lumbar Fusion Surgery by Video Rasterstereography and Treadmill Gait Analysis

Published on: March 23, 2019

In Vivo Quantification of Hip Arthrokinematics during Dynamic Weight-bearing Activities using Dual Fluoroscopy

In Vivo Quantification of Hip Arthrokinematics during Dynamic Weight-bearing Activities using Dual Fluoroscopy

Published on: July 2, 2021

Area of Science:

Medical Imaging
Artificial Intelligence
Orthopedic Surgery

Background:

Accurate pelvic tilt (PT) estimation is crucial for total hip arthroplasty (THA) pre-planning.
Common post-operative complications like impingement and dislocation can arise from inaccurate PT measurements.

Purpose of the Study:

To develop an innovative and accurate deep learning method for estimating functional pelvic tilt (PT) from standing anterior-posterior (AP) radiography.
To leverage concurrent learning and a VGG-UNET architecture for improved PT prediction.

Main Methods:

An encoder-decoder network, VGG-UNET, was designed, embedding a VGG network within a U-NET architecture.
A concurrent learning approach was used, with a parallel path in the bottleneck to regress PT.
The network was evaluated against VGG and Mask R-CNN for PT estimation accuracy.

Main Results:

The VGG-UNET achieved a lower absolute error (3.04 ± 2.49) compared to VGG (3.92 ± 2.92) and Mask R-CNN (4.97 ± 3.87).
VGG-UNET demonstrated more accurate PT prediction with a lower standard deviation.
The proposed multi-task network outperformed existing cascaded network approaches.

Conclusions:

The VGG-UNET model provides a significant improvement in estimating functional pelvic tilt from AP radiography.
This deep learning approach enhances pre-operative planning for total hip arthroplasty.
The VGG-UNET method offers a more reliable and accurate solution for preventing THA complications.