ReviewCardiology research and practice2018
An Overview on Image Registration Techniques for Cardiac Diagnosis and Treatment.
Review in Cardiology research and practice, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed, 44 citations in OpenAlex.
- Optimising Multimodal Image Registration Techniques: A Comprehensive Study of Non-Rigid and Affine Methods for PET/CT Integration.Diagnostics (Basel, Switzerland) · 2025Article
- Joint shape/texture representation learning for cardiovascular disease diagnosis from magnetic resonance imaging.European heart journal. Imaging methods and practice · 2024Article
- Quantitative assessment of radiotherapy-induced myocardial damage using MRI: a systematic review.Cardio-oncology (London, England) · 2023Review
- Fully Automatic Left Ventricle Segmentation Using Bilateral Lightweight Deep Neural Network.Life (Basel, Switzerland) · 2023Article
- The digitization process and the evolution of Clinical Risk Management concept: The role of Clinical Engineering in the operational management of biomedical technologies.Frontiers in public health · 2023Article
- An Overview of Deep Learning Methods for Left Ventricle Segmentation.Computational intelligence and neuroscience · 2023Review
- An Intelligent Mental Health Identification Method for College Students: A Mixed-Method Study.International journal of environmental research and public health · 2022Article
- Comparative studies of deep learning segmentation models for left ventricle segmentation.Frontiers in public health · 2022Article
- Construction of a Diagnostic Model for Lymph Node Metastasis of the Papillary Thyroid Carcinoma Using Preoperative Ultrasound Features and Imaging Omics.Journal of healthcare engineering · 2022Article
- Joint Deep Learning Framework for Image Registration and Segmentation of Late Gadolinium Enhanced MRI and Cine Cardiac MRI.Proceedings of SPIE--the International Society for Optical Engineering · 2021Article
- Prioritisation Assessment and Robust Predictive System for Medical Equipment: A Comprehensive Strategic Maintenance Management.Frontiers in public health · 2021Article
- Multistage Optimization Using a Modified Gaussian Mixture Model in Sperm Motility Tracking.Computational and mathematical methods in medicine · 2021Article
- To Align Multimodal Lumbar Spine Images via Bending Energy Constrained Normalized Mutual Information.BioMed research international · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Image registration has been used for a wide variety of tasks within cardiovascular imaging. This study aims to provide an overview of the existing image registration methods to assist researchers and impart valuable resource for studying the existing methods or developing new methods and evaluation strategies for cardiac image registration. For the cardiac diagnosis and treatment strategy, image registration and fusion can provide complementary information to the physician by using the integrated image from these two modalities. This review also contains a description of various imaging techniques to provide an appreciation of the problems associated with implementing image registration, particularly for cardiac pathology intervention and treatments.
Identifiers
What OpenQuestion holds
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.