| Keyword search (4,163 papers available) | ![]() |
"Roshanfar M" Authored Publications:
| Title | Authors | PubMed ID | |
|---|---|---|---|
| 1 | Emerging Image-Guided Navigation Techniques for Cardiovascular Interventions: A Scoping Review | Roshanfar M; Salimi M; Jang SJ; Sinusas AJ; Kim J; Mosadegh B; | 40428106 ENCS |
| 2 | Advanced Robotics for the Next-Generation of Cardiac Interventions | Roshanfar M; Salimi M; Kaboodrangi AH; Jang SJ; Sinusas AJ; Wong SC; Mosadegh B; | 40283240 ENCS |
| 3 | Design Optimization of a Hybrid-Driven Soft Surgical Robot with Biomimetic Constraints | Roshanfar M; Dargahi J; Hooshiar A; | 38275456 ENCS |
| 4 | Machine Learning-Assisted Short-Wave InfraRed (SWIR) Techniques for Biomedical Applications: Towards Personalized Medicine | Salimi M; Roshanfar M; Tabatabaei N; Mosadegh B; | 38248734 ENCS |
| 5 | Hyperelastic Modeling and Validation of Hybrid-Actuated Soft Robot with Pressure-Stiffening | Roshanfar M; Taki S; Sayadi A; Cecere R; Dargahi J; Hooshiar A; | 37241524 ENCS |
| Title: | Emerging Image-Guided Navigation Techniques for Cardiovascular Interventions: A Scoping Review | ||||
| Authors: | Roshanfar M, Salimi M, Jang SJ, Sinusas AJ, Kim J, Mosadegh B | ||||
| Link: | https://pubmed.ncbi.nlm.nih.gov/40428106/ | ||||
| DOI: | 10.3390/bioengineering12050488 | ||||
| Publication: | Bioengineering (Basel, Switzerland) | ||||
| Keywords: | artificial intelligence; cardiac imaging; image-guided navigation; interventional cardiology; multimodal imaging; | ||||
| PMID: | 40428106 | Category: | Date Added: | 2025-05-28 | |
| Dept Affiliation: |
ENCS
1 Department of Mechanical Engineering, Gina Cody School of Engineering, Concordia University, Montreal, QC H3G 1M8, Canada. 2 Department of Mechanical Engineering, York University, Toronto, ON M3J 1P3, Canada. 3 Section of Cardiovascular Medicine, Department of Medicine, Yale University, New Haven, CT 06519, USA. 4 Department of Medicine, Weill Cornell Medicine, New York, NY 10021, USA. 5 Dalio Institute of Cardiovascular Imaging, Department of Radiology, Weill Cornell Medicine, New York, NY 10021, USA. |
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Description: |
Background: Image-guided navigation has revolutionized precision cardiac interventions, yet current technologies face critical limitations in real-time guidance and procedural accuracy. Method: Here, we comprehensively evaluate state-of-the-art imaging modalities, from conventional fluoroscopy to emerging hybrid systems, analyzing their applications across coronary, structural, and electrophysiological interventions. Results: We demonstrate that novel approaches combining optical coherence tomography with near-infrared spectroscopy or fluorescence achieve unprecedented plaque characterization and procedural guidance through simultaneous structural and molecular imaging. Our analysis reveals key challenges, including imaging artifacts and resolution constraints, while highlighting recent technological solutions incorporating artificial intelligence and robotics. We show that non-imaging alternatives, such as fiber optic real-shape sensing and electromagnetic tracking, complement traditional techniques by providing real-time navigation without radiation exposure. This paper also discusses the integration of image-guided navigation techniques into augmented reality systems and patient-specific modeling, highlighting initial clinical studies that demonstrate their significant promise in reducing procedural times and improving accuracy. These findings establish a framework for next-generation cardiac interventions, emphasizing the critical role of multimodal imaging platforms enhanced by AI-driven decision support. Conclusions: We conclude that continued innovation in hybrid imaging systems, coupled with advances in automation, will be essential for optimizing procedural outcomes and expanding access to complex cardiac interventions. |



