About

Timothy D. Solberg is a medical physicist whose research lies at the forefront of stereotactic radiation therapy, with a particular focus on advancing the precision and efficacy of robotic and conventional linac-based delivery systems. His most influential contribution, a 2010 dosimetric comparison of stereotactic body radiation therapy (SBRT) techniques for lung cancer, has garnered 52 citations and remains a foundational reference for clinicians navigating the choice between CyberKnife and conventional linear accelerator platforms. Building on this work, Solberg has made significant strides in optimizing prescription isodose selection to minimize normal tissue exposure while maximizing tumor dose—a critical challenge in modern radiotherapy planning. His research extends beyond lung cancer into complex neurovascular conditions, including multi-staged robotic radiosurgery for large cerebral arteriovenous malformations, as well as innovative applications in laryngeal cancer treatment. A particularly notable technical achievement is his development of CyberArc-m6, a noncoplanar continuous arc delivery optimization algorithm designed to reduce CyberKnife treatment times. Across his career, Solberg has consistently bridged computational innovation and clinical application, making meaningful contributions to the field of image-guided, hypofractionated radiotherapy with an accumulated body of work that continues to shape treatment planning practices.

Research Focus

Key Achievements

5
H-Index
7
Papers
120
Total Citations
17
Avg Citations/Paper
🏆 Most Cited Paper
A dosimetric comparison of stereotactic body radiation therapy techniques for lung cancer: robotic versus conventional linac‐based systems
52 citations · 2010
📈 Most Prolific Year: 2013 (2 Papers)
🤝 Key Collaborators: 30
🏛 Institutions: The University of Texas Southwestern Medical Center, University of California, San Francisco, University of Pennsylvania, Southwestern Medical Center, Nebraska Medical Center

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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