ArticleSensors (Basel, Switzerland)2023
3D Multi-Modality Medical Imaging: Combining Anatomical and Infrared Thermal Images for 3D Reconstruction.
Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
18 citing papers in PubMed.
- Real-time medical images enhancement technique using Adaptive Histogram Equalization model.Scientific reports · 2026Article
- A Fully Automated Deep Learning Pipeline for Anatomical Landmark Localization on Three-Dimensional Pelvic Surface Scans.Sensors (Basel, Switzerland) · 2026Article
- Cross-sectional atlas of the tree shrew (Frontiers in veterinary science · 2026Article
- Deep learning for multi-modal medical image segmentation: a survey and comparative study.Brain imaging and behavior · 2025Article
- Visualization of Medical Record with 3D Human Body Models.Healthcare (Basel, Switzerland) · 2025Article
- Beyond traditional orthopaedic data analysis: AI, multimodal models and continuous monitoring.Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA · 2025Review
- US & MR/CT Image Fusion with Markerless Skin Registration: A Proof of Concept.Journal of imaging informatics in medicine · 2025Article
- Infrared thermography in clinical practice: a literature review.European journal of medical research · 2025Review
- Non-invasive infrared thermography for screening, diagnosis and monitoring of skin cancer.Journal der Deutschen Dermatologischen Gesellschaft = Journal of the German Society of Dermatology : JDDG · 2025Review
- Thyroid Screening Techniques via Bioelectromagnetic Sensing: Imaging Models and Analytical and Computational Methods.Sensors (Basel, Switzerland) · 2024Review
- Novel Entropy for Enhanced Thermal Imaging and Uncertainty Quantification.Entropy (Basel, Switzerland) · 2024Article
- Feasibility evaluation of radiotherapy positioning system guided by augmented reality and point cloud registration.Journal of applied clinical medical physics · 2024Article
- Use of Infrared Thermography in Medical Diagnosis, Screening, and Disease Monitoring: A Scoping Review.Medicina (Kaunas, Lithuania) · 2023Article
- Visual Sensing and Depth Perception for Welding Robots and Their Industrial Applications.Sensors (Basel, Switzerland) · 2023Review
- A Virtual, 3D Multimodal Approach to Victim and Crime Scene Reconstruction.Diagnostics (Basel, Switzerland) · 2023Review
- Research on 3D Reconstruction of Binocular Vision Based on Thermal Infrared.Sensors (Basel, Switzerland) · 2023Article
- A Workflow for Studying the Stump-Socket Interface in Persons with Transtibial Amputation through 3D Thermographic Mapping.Sensors (Basel, Switzerland) · 2023Article
- Three-Dimensional Immersion Scanning Technique: A Scalable Low-Cost Solution for 3D Scanning Using Water-Based Fluid.Sensors (Basel, Switzerland) · 2023Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Medical thermography provides an overview of the human body with two-dimensional (2D) information that assists the identification of temperature changes, based on the analysis of surface distribution. However, this approach lacks spatial depth information, which can be enhanced by adding multiple images or three-dimensional (3D) systems. Therefore, the methodology applied for this paper generates a 3D point cloud (from thermal infrared images), a 3D geometry model (from CT images), and the segmented inner anatomical structures. Thus, the following computational processing was employed: Structure from Motion (SfM), image registration, and alignment (affine transformation) between the 3D models obtained to combine and unify them. This paper presents the 3D reconstruction and visualization of the respective geometry of the neck/bust and inner anatomical structures (thyroid, trachea, veins, and arteries). Additionally, it shows the whole 3D thermal geometry in different anatomical sections (i.e., coronal, sagittal, and axial), allowing it to be further examined by a medical team, improving pathological assessments. The generation of 3D thermal anatomy models allows for a combined visualization, i.e., functional and anatomical images of the neck region, achieving encouraging results. These 3D models bring correlation of the inner and outer regions, which could improve biomedical applications and future diagnosis with such a methodology.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.