Survey of methods and principles in three-dimensional reconstruction from two-dimensional medical images

Three-dimensional (3D) reconstruction of human organs has gained attention in recent years due to advances in the Internet and graphics processing units. In the coming years, most patient care will shift toward this new paradigm. However, development of fast and accurate 3D models from medical image...

Full description

Saved in:
Bibliographic Details
Published in:Visual computing for industry, biomedicine and art biomedicine and art, 2023-07, Vol.6 (1), p.15-15, Article 15
Main Authors: Sarmah, Mriganka, Neelima, Arambam, Singh, Heisnam Rohen
Format: Article
Language:English
Subjects:
CAE) and Design
Computer Graphics
Computer Imaging
Computer Science
Computer-Aided Engineering (CAD
Diagnosis
Graphics processing units
Human organ
Image Processing and Computer Vision
Image reconstruction
Magnetic resonance imaging
Media Design
Medical diagnosis
Medical images
Medical imaging
Methods
Organs
Pattern Recognition and Graphics
Principles
Review
Three dimensional models
Three-dimensional reconstruction
Tomography
Ultrasonic imaging
Vision
X-rays
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Three-dimensional (3D) reconstruction of human organs has gained attention in recent years due to advances in the Internet and graphics processing units. In the coming years, most patient care will shift toward this new paradigm. However, development of fast and accurate 3D models from medical images or a set of medical scans remains a daunting task due to the number of pre-processing steps involved, most of which are dependent on human expertise. In this review, a survey of pre-processing steps was conducted, and reconstruction techniques for several organs in medical diagnosis were studied. Various methods and principles related to 3D reconstruction were highlighted. The usefulness of 3D reconstruction of organs in medical diagnosis was also highlighted.
ISSN:2524-4442
2096-496X
2524-4442
DOI:10.1186/s42492-023-00142-7