ReviewBiomedical engineering letters2024
Monte Carlo methods for medical imaging research.
Review in Biomedical engineering letters, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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
7 citing papers in PubMed.
- Complementary roles of GPU-accelerated Monte Carlo and ArcCHECK in TomoTherapy quality assurance.Physical and engineering sciences in medicine · 2026Article
- From Simulation to Therapy: Light Guidance Through Zirconium Dental Implants for Bone-Targeted Photodynamic Inactivation.Bioengineering (Basel, Switzerland) · 2026Article
- Mako robotic-assisted glenoid preparation in reverse shoulder arthroplasty: a tail-risk reduction perspective compared with manual and patient-specific guide techniques.Journal of shoulder and elbow arthroplasty · 2026Article
- Assessment of Radiation Attenuation Properties in Dental Implants Using Monte Carlo Method.Bioengineering (Basel, Switzerland) · 2025Article
- Quantum-enhanced intelligent system for personalized adaptive radiotherapy dose estimation.Scientific reports · 2025Article
- Comparing Auto-Machine Learning and Expert-Designed Models in Diagnosing Vitreomacular Interface Disorders.Journal of clinical medicine · 2025Article
- Monte Carlo Simulations in Nanomedicine: Advancing Cancer Imaging and Therapy.Nanomaterials (Basel, Switzerland) · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In radiation-based medical imaging research, computational modeling methods are used to design and validate imaging systems and post-processing algorithms. Monte Carlo methods are widely used for the computational modeling as they can model the systems accurately and intuitively by sampling interactions between particles and imaging subject with known probability distributions. This article reviews the physics behind Monte Carlo methods, their applications in medical imaging, and available MC codes for medical imaging research. Additionally, potential research areas related to Monte Carlo for medical imaging are discussed.
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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.