Papers

2

Total Citations

12

H-Index

2

About

Magnus Dahlbom specializes in nuclear medicine imaging, with a focus on positron emission tomography (PET) and its applications in both phantom development and presurgical planning. His major contributions include pioneering the "Activity Painting" technique, a novel phantom method introduced in 2019 that enables the construction of highly reproducible phantoms with arbitrary activity distributions for PET imaging. This work, cited 10 times, addresses critical questions about texture measurements in PET, offering a standardized approach to validate imaging systems. More recently, in 2025, Dahlbom advanced patient-specific anatomical modeling by developing a free, open-source method for creating 3D virtual reality models from DICOM images, facilitating presurgical planning. Though still early in its impact with 2 citations, this work democratizes access to advanced visualization tools. Dahlbom’s research bridges technical innovation and clinical utility, providing reproducible, accessible solutions for imaging and surgical preparation. His work is particularly notable for its emphasis on open-source methodologies, empowering broader adoption in research and clinical settings.

Research Focus

Key Achievements

2
H-Index
2
Papers
12
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Activity painting: PET images of freely defined activity distributions applying a novel phantom technique
10 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 18
🏛 Institutions: University of California, Los Angeles, Molecular Theranostics (United States)

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago