Physical dose conformation
We explore and develop radiation treatment techniques for optimum physical dose conformation to the tumor target volume. Our efforts are focused on proton radiotherapy and advanced photon treatments, as well as on their comparison.
As a basis for treatment optimization we work on a variety of modeling projects including relative biological effectiveness in proton therapy, outcome models for the relationship between the dose distribution and clinical outcome, and spatial modeling of microscopic disease for gliomas.
Intensity modulation is crucial both in photonradiotherapy (IMXT) and in proton radiotherapy (IMPT). In particular, we develop robust optimization methods for handling uncertainty in IMPT, direct aperture optimization algorithms, VMAT plan optimization, and multi-criteria planning methods.
We develop concepts and methods to consider the time component in the whole radiotherapy chain, from imaging over planning and optimization to treatment delivery.
To increase the precision of the dose application we develop new targeting techniques. To increase the accuracy of the dose prediction we perform Monte Carlo simulations.
Videos about our work published on physicsworld.com
1. A pioneering approach to cancer treatment
2. Targeting tumours
3. Proton therapy teams up with PET imaging
4. Fighting cancer with mathematics
Harald Paganetti won the 2012-2013 A. Clifford Barger Excellence in Mentoring Award
The award is given to those who have given exceptional sponsorship, encouragement and support for the career and/or personal development of other faculty, trainees, and students at Harvard Medical School.
More information: http://www.mfdp.med.harvard.edu/awards/mentoring/index.html
Recent papers featured on MedicalPhysicsWeb
April 2013: Monte Carlo techniques in radiation therapy [Link]
April 2013: Limiting interplay effects in proton therapy [Link]
April 2013: In-room PET treatment verification [Link]
January 2013: The interdependence of optimal fractionation schemes and the spatial dose distribution. [Link]
January 2013: The generalization of direct aperture optimization methods to a mult-criteria planning framework. [Link]
December 2012: GPU accelerates proton dose calculations [Link]
May 2012: Reducing out-of-field doses in scanning proton therapy using apertures. [Link]
February 2012: MCO VMAT. [Link]
January 2012: MCO-Robust IMPT planning. [Link]
New: Books by Joao Seco and Harald Paganetti
Monte Carlo Techniques in Radiation Therapy
Publication Date: March 21, 2013
Proton Therapy Physics
Publication Date: December 14, 2011