ReviewJournal of digital imaging2011
Volume visualization: a technical overview with a focus on medical applications.
Review in Journal of digital imaging, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.
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
19 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A Systematic Review on Orthopedic Simulators for Psycho-Motor Skill and Surgical Procedure Training.Journal of medical systems · 2018Pooled it
- Cinematic rendering in CT angiography: a pictorial review of clinical applications.Insights into imaging · 2026Article
- Multi-volume rendering using depth buffers for surgical planning in virtual reality.International journal of computer assisted radiology and surgery · 2025Article
- Clipping spline: interactive, dynamic 4D volume clipping and analysis based on thin plate spline.Biomedical optics express · 2025Article
- Augmenting Image-Guided Procedures through In Situ Visualization of 3D Ultrasound via a Head-Mounted Display.Sensors (Basel, Switzerland) · 2023Article
- Extended reality for biomedicine.Nature reviews. Methods primers · 2023Article
- Obtaining 3D super-resolution images by utilizing rotationally symmetric structures and 2D-to-3D transformation.Computational and structural biotechnology journal · 2023Review
- Detection of left ventricular wall motion abnormalities from volume rendering of 4DCT cardiac angiograms using deep learning.Frontiers in cardiovascular medicine · 2022Article
- How to do left atrial late gadolinium enhancement: a review.La Radiologia medica · 2021Review
- Narrative review of epilepsy: getting the most out of your neuroimaging.Translational pediatrics · 2021Review
- Augmented and Mixed Reality: Technologies for Enhancing the Future of IR.Journal of vascular and interventional radiology : JVIR · 2020Review
- 3D PHOVIS: 3D photoacoustic visualization studio.Photoacoustics · 2020Article
- Retrieving 3D medical data along fitted curved slices and their display.BMC medical informatics and decision making · 2020Article
- How clinical imaging can assess cancer biology.Insights into imaging · 2019Review
- Acquisition, Visualization and Potential Applications of 3D Data in Anatomic Pathology.Discoveries (Craiova, Romania) · 2016Review
- Simulation and Visualization of Liver Cancer Ablation Focus in Optical Surgical Navigation.Journal of medical systems · 2016Article
- GPU-based multi-volume ray casting within VTK for medical applications.International journal of computer assisted radiology and surgery · 2015Article
- 3D preoperative planning in the ER with OsiriX®: when there is no time for neuronavigation.Sensors (Basel, Switzerland) · 2013Article
- A survey of GPU-based medical image computing techniques.Quantitative imaging in medicine and surgery · 2012Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
With the increasing availability of high-resolution isotropic three- or four-dimensional medical datasets from sources such as magnetic resonance imaging, computed tomography, and ultrasound, volumetric image visualization techniques have increased in importance. Over the past two decades, a number of new algorithms and improvements have been developed for practical clinical image display. More recently, further efficiencies have been attained by designing and implementing volume-rendering algorithms on graphics processing units (GPUs). In this paper, we review volumetric image visualization pipelines, algorithms, and medical applications. We also illustrate our algorithm implementation and evaluation results, and address the advantages and drawbacks of each algorithm in terms of image quality and efficiency. Within the outlined literature review, we have integrated our research results relating to new visualization, classification, enhancement, and multimodal data dynamic rendering. Finally, we illustrate issues related to modern GPU working pipelines, and their applications in volume visualization domain.
Indexed as
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.