Boson: A Web-Based Platform for Radiation Dosimetry
Abstract
Purpose
Widely used internal dosimetry tools such as OLINDA/EXM and MIRDcalc provide validated implementations of the MIRD schema but are primarily desktop-based, which can limit accessibility, transparency, and extensibility. This work presents BOSON (Brown’s Online Suite for radiatiON dosimetry), an open, browser-based platform that directly implements ICRP Publication 155 specific absorbed fractions (SAFs) and enables interactive internal dose calculations without dedicated software installation.
Methods
BOSON is implemented as a single-page web application with a modern JavaScript front end and a high-performance computational backend written in Rust and compiled to WebAssembly (WASM). ICRP 155 SAF datasets for photons, electrons, alpha particles, and neutrons were parsed, validated, and converted into compact, indexed binary formats. The platform supports SAF queries by particle type, age, sex, source region, and target region, enabling fully client-side calculation of organ S-values and absorbed dose. BOSON supports user-defined radionuclide data and custom biokinetic models, allowing time–activity curves to be specified and integrated within the MIRD formalism. Clinical-oriented modules include an I-131 patient release calculator and a Y-90 radioembolization dosimetry module supporting activity-to-dose workflows used in nuclear medicine therapy. A browser-based DICOM viewer is also integrated, enabling visualization of imaging data alongside dosimetric calculations.
Results
The complete ICRP 155 SAF dataset (3,397 source–target combinations) was successfully implemented across all supported demographic models and radiation types. WASM-based execution enables rapid calculations without server-side dependencies. Unlike alternatives, BOSON allows direct inspection and visualization of underlying SAF data and imaging context, improving transparency and educational value.
Conclusion
BOSON demonstrates that quality internal dosimetry data can be delivered through an accessible, browser-native platform without sacrificing performance. Future work will include integration of decay data, time–activity modeling, patient-specific and voxel-based dosimetry, and formal benchmarking against established tools, positioning BOSON as a complementary resource for clinical practice, education, and research.