Four-dimensional magnetic resonance imaging for the determination of tumour movement and its evaluation using a dynamic porcine lung phantom

A method of four-dimensional (4D) magnetic resonance imaging (MRI) has been implemented and evaluated. It consists of retrospective sorting and slice stacking of two-dimensional (2D) images using an external signal for motion monitoring of the object to be imaged. The presented method aims to determine the tumour trajectories based on a signal that is appropriate for monitoring the movement of the target volume during radiotherapy such that the radiation delivery can be adapted to the movement. For evaluation of the 4D-MRI method, it has been applied to a dynamic lung phantom, which exhibits periodic respiratory movement of a porcine heart-lung explant with artificial pulmonary nodules. Anatomic changes of the lung phantom caused by respiratory motion have been quantified, revealing hysteresis. The results demonstrate the feasibility of the presented method of 4D-MRI. In particular, it enables the determination of trajectories of periodically moving objects with an uncertainty in the order of 1 mm.

[1]  Michael D. Abràmoff,et al.  Image processing with ImageJ , 2004 .

[2]  Robin M Heidemann,et al.  Generalized autocalibrating partially parallel acquisitions (GRAPPA) , 2002, Magnetic resonance in medicine.

[3]  G. Christensen,et al.  A method for the reconstruction of four-dimensional synchronized CT scans acquired during free breathing. , 2003, Medical physics.

[4]  P. Keall 4-dimensional computed tomography imaging and treatment planning. , 2004, Seminars in radiation oncology.

[5]  Suresh Senan,et al.  Four-dimensional CT scans for treatment planning in stereotactic radiotherapy for stage I lung cancer. , 2004, International journal of radiation oncology, biology, physics.

[6]  Steve B. Jiang,et al.  Synchronized moving aperture radiation therapy (SMART): improvement of breathing pattern reproducibility using respiratory coaching , 2006, Physics in medicine and biology.

[7]  Hans-Ulrich Kauczor,et al.  Analysis of intrathoracic tumor mobility during whole breathing cycle by dynamic MRI. , 2004, International journal of radiation oncology, biology, physics.

[8]  M. V. van Herk,et al.  Precise and real-time measurement of 3D tumor motion in lung due to breathing and heartbeat, measured during radiotherapy. , 2002, International journal of radiation oncology, biology, physics.

[9]  Hans-Peter Meinzer,et al.  Quantification of lung tumor volume and rotation at 3D dynamic parallel MR imaging with view sharing: preliminary results. , 2006, Radiology.

[10]  M Heller,et al.  Reproducible Simulation of Respiratory Motion in Porcine Lung Explants , 2006, RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin.

[11]  H. Bolte,et al.  Ex-vivo injection technique for implanting solid pulmonary nodules into porcine lungs for multi-slice CT. , 2004, RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin.

[12]  H. Bolte,et al.  Reproducibility of Computer-Aided Volumetry of Artificial Small Pulmonary Nodules in Ex Vivo Porcine Lungs , 2006, Investigative radiology.

[13]  J. McClelland,et al.  MRI-based measurements of respiratory motion variability and assessment of imaging strategies for radiotherapy planning , 2006, Physics in medicine and biology.

[14]  Hans-Peter Meinzer,et al.  Influence of different breathing maneuvers on internal and external organ motion: use of fiducial markers in dynamic MRI. , 2005, International journal of radiation oncology, biology, physics.

[15]  A. Haase,et al.  FLASH imaging: rapid NMR imaging using low flip-angle pulses. 1986. , 1986, Journal of magnetic resonance.

[16]  George Starkschall,et al.  Evaluation of internal lung motion for respiratory-gated radiotherapy using MRI: Part I--correlating internal lung motion with skin fiducial motion. , 2004, International journal of radiation oncology, biology, physics.

[17]  Jürgen Biederer,et al.  Artificial thorax for MR imaging studies in porcine heart-lung preparations. , 2003, Radiology.

[18]  Hans-Peter Meinzer,et al.  Monitoring of Lung Motion in Patients With Malignant Pleural Mesothelioma Using Two-Dimensional and Three-Dimensional Dynamic Magnetic Resonance Imaging: Comparison With Spirometry , 2006, Investigative radiology.

[19]  Matthias Guckenberger,et al.  Is a single respiratory correlated 4D-CT study sufficient for evaluation of breathing motion? , 2007, International journal of radiation oncology, biology, physics.

[20]  Jan-Jakob Sonke,et al.  Mid-ventilation CT scan construction from four-dimensional respiration-correlated CT scans for radiotherapy planning of lung cancer patients. , 2006, International journal of radiation oncology, biology, physics.

[21]  P Boesiger,et al.  4D MR imaging of respiratory organ motion and its variability , 2007, Physics in medicine and biology.

[22]  R. Mohan,et al.  Acquiring a four-dimensional computed tomography dataset using an external respiratory signal. , 2003, Physics in medicine and biology.

[23]  Steve B. Jiang,et al.  Residual motion of lung tumors in end-of-inhale respiratory gated radiotherapy based on external surrogates. , 2006, Medical physics.

[24]  Martin J Murphy,et al.  Issues in respiratory motion compensation during external-beam radiotherapy. , 2002, International journal of radiation oncology, biology, physics.

[25]  J. Biederer,et al.  Simulated pulmonary nodules implanted in a dedicated porcine chest phantom: sensitivity of MR imaging for detection. , 2003, Radiology.

[26]  George Starkschall,et al.  Evaluation of internal lung motion for respiratory-gated radiotherapy using MRI: Part II-margin reduction of internal target volume. , 2004, International journal of radiation oncology, biology, physics.