Michael Lerch

Prof. Dr. Michael Lerch

orcid

Research Focus & Metrics

Academic Career Length

33Years (1994-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 September 2015 in Physica Medica
Verified
Journal Article
Open access
EBElke Bräuer-Krisch
Elke Bräuer-Krisch
JAJean-Francois Adam
Jean-Francois Adam
EAEnver Alagoz
Enver Alagoz
Stefan BartzschStefan Bartzsch
Stefan Bartzsch
JCJeff Crosbie
Jeff Crosbie
BSBjarne Stugu
Bjarne Stugu
Stereotactic Synchrotron Radiotherapy (SSRT) and Microbeam Radiation Therapy (MRT) are both novel approaches to treat brain tumor and potentially other tumors using synchrotron radiation. Although the techniques differ by their principles, SSRT and MRT share certain common aspects with the possibility of combining their advantages in the future. For MRT, the technique uses highly collimated, quasi-parallel arrays of X-ray microbeams between 50 and 600 keV. Important features of highly brilliant Synchrotron sources are a very small beam divergence and an extremely high dose rate. The minimal beam divergence allows the insertion of so called Multi Slit Collimators (MSC) to produce spatially fractionated beams of typically ∼25-75 micron-wide microplanar beams separated by wider (100-400 microns center-to-center(ctc)) spaces with a very sharp penumbra. Peak entrance doses of several hundreds of Gy are extremely well tolerated by normal tissues and at the same time provide a higher therapeutic index for various tumor models in rodents. The hypothesis of a selective radio-vulnerability of the tumor vasculature versus normal blood vessels by MRT was recently more solidified. SSRT (Synchrotron Stereotactic Radiotherapy) is based on a local drug uptake of high-Z elements in tumors followed by stereotactic irradiation with 80 keV photons to enhance the dose deposition only within the tumor. With SSRT already in its clinical trial stage at the ESRF, most medical physics problems are already solved and the implemented solutions are briefly described, while the medical physics aspects in MRT will be discussed in more detail in this paper.

25 March 2003 in Medical Physics
Verified
Journal Article
Closed access
PDF file
EBE. Bräuer‐Krisch
E. Bräuer‐Krisch
ABA. Bravin
A. Bravin
MLMichael Lerch
Michael Lerch
ARAnatoly B. Rosenfeld
Anatoly B. Rosenfeld
JSJ. Stepanek
J. Stepanek
JLJ. A. Laissue
J. A. Laissue

1 November 2016 in Physica Medica
Verified
Journal Article
Closed access
CSCallum Stewart
Callum Stewart
Konstantin KonstantinovKonstantin Konstantinov
Konstantin Konstantinov
SMSally McKinnon
Sally McKinnon
SGSusanna Guatelli
Susanna Guatelli
MLMichael Lerch
Michael Lerch
SCStéphanie Corde
Stéphanie Corde

1 February 2008 in Radiation Measurements
Verified
Journal Article
Closed access
IKI.S. Kwan
I.S. Kwan
ARAnatoly B. Rosenfeld
Anatoly B. Rosenfeld
ZQZ.Y. Qi
Z.Y. Qi
DWDean Wilkinson
Dean Wilkinson
MLMichael Lerch
Michael Lerch
VPV.L. Perevertaylo
V.L. Perevertaylo

17 February 2017 in Physics in Medicine & Biology
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Journal Article
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DBDavid Bolst
David Bolst
SGSusanna Guatelli
Susanna Guatelli
LTLinh Tran
Linh Tran
LCLachlan Chartier
Lachlan Chartier
MLMichael Lerch
Michael Lerch
ARAnatoly B. Rosenfeld
Anatoly B. Rosenfeld
Silicon microdosimetry is a promising technology for heavy ion therapy (HIT) quality assurance, because of its sub-mm spatial resolution and capability to determine radiation effects at a cellular level in a mixed radiation field. A drawback of silicon is not being tissue-equivalent, thus the need to convert the detector response obtained in silicon to tissue. This paper presents a method for converting silicon microdosimetric spectra to tissue for a therapeutic 12 C beam, based on Monte Carlo simulations. The energy deposition spectra in a 10 μ m sized silicon cylindrical sensitive volume (SV) were found to be equivalent to those measured in a tissue SV, with the same shape, but with dimensions scaled by a factor κ equal to 0.57 and 0.54 for muscle and water, respectively. A low energy correction factor was determined to account for the enhanced response in silicon at low energy depositions, produced by electrons. The concept of the mean path length 〈 l P a t h 〉 to calculate the lineal energy was introduced as an alternative to the mean chord length 〈 l 〉 because it was found that adopting Cauchy’s formula for the 〈 l 〉 was not appropriate for the radiation field typical of HIT as it is very directional. 〈 l P a t h 〉 can be determined based on the peak of the lineal energy distribution produced by the incident carbon beam. Furthermore it was demonstrated that the thickness of the SV along the direction of the incident 12 C ion beam can be adopted as 〈 l P a t h 〉 . The tissue equivalence conversion method and 〈 l P a t h 〉 were adopted to determine the RBE 10 , calculated using a modified microdosimetric kinetic model, applied to the microdosimetric spectra resulting from the simulation study. Comparison of the RBE 10 along the Bragg peak to experimental TEPC measurements at HIMAC, NIRS, showed good agreement. Such agreement demonstrates the validity of the developed tissue equivalence correction factors and of the determination of 〈 l P a t h 〉 .

14 February 2018 in Biomedical Physics & Engineering Express
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Journal Article
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PLPeter Lazarakis
Peter Lazarakis
SISebastien Incerti
Sebastien Incerti
VIVladimir Ivanchenko
Vladimir Ivanchenko
Ioanna KyriakouIoanna Kyriakou
Ioanna Kyriakou
DEDIMITRIS EMFIETZOGLOU
DIMITRIS EMFIETZOGLOU
ARAnatoly B Rozenfeld
Anatoly B Rozenfeld
Monte Carlo methods apply various physical models, either condensed history (CH) or track structure (TS), to simulate the passage of radiation through matter. Both CH and TS models continue to be applied to radiation dosimetry investigations on a micro and nano scale. However, as there has been no systematic comparison of the use of these models for such applications there can be no quantification of the uncertainty that is being introduced by the choice of physics model. A comparison of CH and TS models available in Geant4, along with a quantification of the differences in calculated quantities on a micro and nano scale, has been undertaken in this study. A sphere of liquid water was simulated, with an incident beam of monoenergetic electrons with kinetic energy between 50 eV and 10 keV. The energy deposition (typical of microdosimetry) and number of ionisations (typical of nanodosimetry), per incident particle, were recorded in a water sphere with diameter varying between 1 nm and 1 m. The simulations were repeated using the following physics packages: Livermore (CH), Penelope (CH) and Geant4-DNA (TS). Results indicated that substantial differences were present between calculated physical quantities, depending on the physics model, target diameter and ratio of the target diameter and mean track length of the incident electron. In the case of the smallest targets, the calculated energy deposition was higher when using the CH models, while the number of ionisations was typically underestimated. In larger targets the energy deposition was in good agreement for all physics models, however the number of ionisations was significantly underestimated by the CH approach, in some cases by almost two orders of magnitude. Regarding CH models, the parameter that had the greatest impact on the results was found to be the threshold of production of secondary particles; when this was minimised the CH and TS results showed the best agreement.