A study on the magnetic resonance imaging (MRI)-based radiation treatment planning of intracranial lesions

2008 ◽  
Vol 53 (13) ◽  
pp. 3579-3593 ◽  
Author(s):  
T Stanescu ◽  
H-S Jans ◽  
N Pervez ◽  
P Stavrev ◽  
B G Fallone
2000 ◽  
Vol 27 (7) ◽  
pp. 1563-1572 ◽  
Author(s):  
Wen-Ching Liu ◽  
Michael Schulder ◽  
Venkat Narra ◽  
Andrew J. Kalnin ◽  
Charles Cathcart ◽  
...  

1988 ◽  
Vol 6 (2) ◽  
pp. 147-155 ◽  
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Brian R. Griffin ◽  
William P. Shuman ◽  
William Wisbeck ◽  
Mitchell Berger ◽  
Alexander Spence

2016 ◽  
Vol 6 (3) ◽  
pp. 201-206
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Daniel G. Tanenbaum ◽  
William A. Hall ◽  
Pardeep Mittal ◽  
Dana C. Nickleach ◽  
John L. Mikell ◽  
...  

2016 ◽  
Vol 15 (6) ◽  
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David C. P. Cobben ◽  
Hans C. J. de Boer ◽  
Rob H. Tijssen ◽  
Emma G. G. M. Rutten ◽  
Marco van Vulpen ◽  
...  

Magnetic resonance imaging (MRI) provides excellent soft-tissue contrast and allows for specific scanning sequences to optimize differentiation between various tissue types and properties. Moreover, it offers the potential for real-time motion imaging. This makes magnetic resonance imaging an ideal candidate imaging modality for radiation treatment planning in lung cancer. Although the number of clinical research protocols for the application of magnetic resonance imaging for lung cancer treatment is increasing ( www.clinicaltrials.gov ) and the magnetic resonance imaging sequences are becoming faster, there are still some technical challenges. This review describes the opportunities and challenges of magnetic resonance imaging for radiation treatment planning in lung cancer.


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