Investigating the Feasibility of Rapid MRI for Image-Guided Motion Management in Lung Cancer Radiotherapy

Cycle-to-cycle variations in respiratory motion can cause significant geometric and dosimetric errors in the administration of lung cancer radiation therapy. A common limitation of the current strategies for motion management is that they assume a constant, reproducible respiratory cycle. In this work, we investigate the feasibility of using rapid MRI for providing long-term imaging of the thorax in order to better capture cycle-to-cycle variations. Two nonsmall-cell lung cancer patients were imaged (free-breathing, no extrinsic contrast, and 1.5 T scanner). A balanced steady-state-free-precession (b-SSFP) sequence was used to acquire cine-2D and cine-3D (4D) images. In the case of Patient 1 (right midlobe lesion, ~40 mm diameter), tumor motion was well correlated with diaphragmatic motion. In the case of Patient 2, (left upper-lobe lesion, ~60 mm diameter), tumor motion was poorly correlated with diaphragmatic motion. Furthermore, the motion of the tumor centroid was poorly correlated with the motion of individual points on the tumor boundary, indicating significant rotation and/or deformation. These studies indicate that image quality and acquisition speed of cine-2D MRI were adequate for motion monitoring. However, significant improvements are required to achieve comparable speeds for truly 4D MRI. Despite several challenges, rapid MRI offers a feasible and attractive tool for noninvasive, long-term motion monitoring.

[1]  Fang-Fang Yin,et al.  Four-dimensional magnetic resonance imaging (4D-MRI) using image-based respiratory surrogate: a feasibility study. , 2011, Medical physics.

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

[3]  Steve B. Jiang,et al.  The management of respiratory motion in radiation oncology report of AAPM Task Group 76. , 2006, Medical physics.

[4]  Eric C Ford,et al.  Measurement of lung tumor motion using respiration-correlated CT. , 2004, International journal of radiation oncology, biology, physics.

[5]  Quan Chen,et al.  Objective assessment of deformable image registration in radiotherapy: a multi-institution study. , 2007, Medical physics.

[6]  K. Sheng,et al.  The effect of respiratory motion variability and tumor size on the accuracy of average intensity projection from four-dimensional computed tomography: an investigation based on dynamic MRI. , 2008, Medical physics.

[7]  Hans-Ulrich Kauczor,et al.  Lung MRI at 1.5 and 3 Tesla: Observer Preference Study and Lesion Contrast Using Five Different Pulse Sequences , 2007, Investigative radiology.

[8]  H. Kauczor,et al.  Therapy monitoring using dynamic MRI: Analysis of lung motion and intrathoracic tumor mobility before and after radiotherapy , 2006, European Radiology.

[9]  Timothy D. Solberg,et al.  Phase versus amplitude sorting of 4D‐CT data , 2006, Journal of applied clinical medical physics.

[10]  Rebecca Fahrig,et al.  A study of the effect of in-line and perpendicular magnetic fields on beam characteristics of electron guns in medical linear accelerators. , 2011, Medical physics.

[11]  Quan Chen,et al.  Objective assessment of deformable image registration in radiotherapy: A multi-institution study , 2008 .

[12]  R Mohan,et al.  Quantifying the accuracy of automated structure segmentation in 4D CT images using a deformable image registration algorithm. , 2008, Medical physics.

[13]  Stephen M. Pizer,et al.  SU‐FF‐I‐58: A Software Toolkit for Multi‐Image Registration and Segmentation in IGRT and ART , 2007 .

[14]  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.

[15]  B. Murray,et al.  Investigations in the Design of a Novel Linac-MRI System , 2007 .

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

[17]  B W Raaymakers,et al.  Integrating a MRI scanner with a 6 MV radiotherapy accelerator: dose increase at tissue–air interfaces in a lateral magnetic field due to returning electrons , 2005, Physics in medicine and biology.

[18]  Shinichiro Mori,et al.  Effective doses in four-dimensional computed tomography for lung radiotherapy planning. , 2009, Medical dosimetry : official journal of the American Association of Medical Dosimetrists.

[19]  Stefan Skare,et al.  Comparison of reconstruction accuracy and efficiency among autocalibrating data‐driven parallel imaging methods , 2008, Magnetic resonance in medicine.

[20]  Carsten Brink,et al.  Deviations in delineated GTV caused by artefacts in 4DCT. , 2010, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[21]  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.

[22]  Konstantin Nikolaou,et al.  Time-Resolved 3D Pulmonary Perfusion MRI: Comparison of Different k-Space Acquisition Strategies at 1.5 and 3 T , 2009, Investigative radiology.

[23]  Paul J Keall,et al.  Retrospective analysis of artifacts in four-dimensional CT images of 50 abdominal and thoracic radiotherapy patients. , 2008, International journal of radiation oncology, biology, physics.

[24]  Michael Bock,et al.  4D-Imaging of the lung: reproducibility of lesion size and displacement on helical CT, MRI, and cone beam CT in a ventilated ex vivo system. , 2009, International journal of radiation oncology, biology, physics.