Repository

About This Webpage

This webpage has been created to share concepts and data generated within the framework of microdosimetry research carried out using the ion beams of the MedAustron facility. The original research groups involved, listed here in alphabetical order: MedAustron, Medizinische Universität Wien, and Technische Universität Wien, have collaborated with numerous international partners to adapt microdosimetry to the specific physical characteristics and clinical requirements of ion beams.

All participating groups recognize the importance of open data sharing and the value of critical scientific discussion for advancing the field. Below, you will find a set of tools and resources intended to support these developments and to facilitate further contributions from the broader community.

TOPICS ABOUT MICRODOSIMETRY IN ION-BEAM THERAPY

This collection presents procedural and experimental contributions that help define microdosimetry within the framework of ion beam therapy. Each chapter addresses a specific topic using a step‑by‑step approach, in which one or more contributors articulate a viewpoint intended to stimulate further discussion. The goal is to encourage a broad spectrum of ideas, including diverse and potentially contrasting perspectives.

To ensure clarity and maintain focus, the material is organized into distinct contributions, each conceived as an self‑contained chapter. These chapters are designed to evolve over time, shaped by contributions and feedback from the wider scientific community. Input can be provided through direct discussions with the authors, written submissions, or, when feasible, expanded through live debates. Following these exchanges, the chapters are revised to reflect either a convergence toward a shared understanding or a clear delineation of differing viewpoints.

Chapter Grey - Questions and Answers in various topics (incomplete). Chapter Grey

Additional chapters to be written

MICRODOSIMETRY: COMPUTATIONAL TOOLS

CODES:

1. Python code Distribution of Energy lost:

Visualizing of the density distributions of energy loss in various materials.Download Python code. The code uses Stopping Power and Range tables from the files (StPowRange_proton.xlsx, StPowRange_carbon-ion.xlsx) which must be converted to CSV format and placed in the folder "inputFiles" to be accessed by the code.

INTELLECTUAL PROPERTY STATEMENT:

"These documents and files are the result of collaborative research conducted by the undersigned authors. All intellectual property rights associated with the content herein remain with MedAustron and the Institutions of other contributing authors, and any use, reproduction, or distribution must be authorized by those institutions"