-transparent.png){kind=logo}
OBJECTIVE The use of motion mitigation techniques such as tracking and gating in particle therapy requires real-time knowledge of tumor position with millimeter precision. The aim of this phantom-based study was to evaluate the option of diagnostic ultrasound (US) imaging (sonography) as real-time motion detection method for scanned heavy ion beam irradiation of moving targets. METHODS For this pilot experiment, a tumor surrogate was moved inside a water bath along two-dimensional trajectories. A rubber ball was used for this purpose. This ball was moved by a robotic arm in two dimensions lateral to the heavy ion beam. Trajectories having a period of 3 s and peak to peak amplitude of 20 mm were used. Square radiation fields of[Formula: see text] were irradiated on radiosensitive films with a 200 MeV/u beam of calcium ions having a FWHM of 6 mm. Pencil beam scanning and beam tracking were employed. The films were attached on the robotic arm and thus moved with the rubber ball. The position of the rubber ball was continuously measured by a US tracking system (Mediri GmbH, Heidelberg) and sent to the GSI therapy control system (TCS). This position was used as tracking vector. Position reconstruction from the US tracking system and data communication introduced a delay leading to a position error of several millimeters. An artificial neural network (ANN) was implemented in the TCS to predict motion from US measurements and thus to compensate for the delay. RESULTS Using ANN delay compensation and large motion amplitudes, the authors could produce irradiation patterns with a few percent inhomogeneity and about 1 mm geometrical conformity. CONCLUSIONS This pilot experiment suggests that diagnostic US should be further investigated as dose-free, high frame-rate, and model-independent motion detection method for scanning heavy ion beam irradiation of moving targets.
M Prall, and
R Kaderka, and
N Saito, and
C Graeff, and
C Bert, and
M Durante, and
K Parodi, and
J Schwaab, and
C Sarti, and
J Jenne
December 2021,
Medical physics,
M Prall, and
R Kaderka, and
N Saito, and
C Graeff, and
C Bert, and
M Durante, and
K Parodi, and
J Schwaab, and
C Sarti, and
J Jenne
July 1998,
Ultrasonic imaging,
M Prall, and
R Kaderka, and
N Saito, and
C Graeff, and
C Bert, and
M Durante, and
K Parodi, and
J Schwaab, and
C Sarti, and
J Jenne
January 2008,
Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention,
M Prall, and
R Kaderka, and
N Saito, and
C Graeff, and
C Bert, and
M Durante, and
K Parodi, and
J Schwaab, and
C Sarti, and
J Jenne
November 2015,
Der Radiologe,
M Prall, and
R Kaderka, and
N Saito, and
C Graeff, and
C Bert, and
M Durante, and
K Parodi, and
J Schwaab, and
C Sarti, and
J Jenne
June 2017,
International journal of computer assisted radiology and surgery,
M Prall, and
R Kaderka, and
N Saito, and
C Graeff, and
C Bert, and
M Durante, and
K Parodi, and
J Schwaab, and
C Sarti, and
J Jenne
March 2020,
Ultrasound in medicine & biology,
M Prall, and
R Kaderka, and
N Saito, and
C Graeff, and
C Bert, and
M Durante, and
K Parodi, and
J Schwaab, and
C Sarti, and
J Jenne
December 2007,
Medical physics,
M Prall, and
R Kaderka, and
N Saito, and
C Graeff, and
C Bert, and
M Durante, and
K Parodi, and
J Schwaab, and
C Sarti, and
J Jenne
March 2024,
Ophthalmology,
M Prall, and
R Kaderka, and
N Saito, and
C Graeff, and
C Bert, and
M Durante, and
K Parodi, and
J Schwaab, and
C Sarti, and
J Jenne
February 2017,
Ultrasonics,
M Prall, and
R Kaderka, and
N Saito, and
C Graeff, and
C Bert, and
M Durante, and
K Parodi, and
J Schwaab, and
C Sarti, and
J Jenne
December 1998,
IEEE transactions on medical imaging,
