Poster - Thur Eve - 57: Craniospinal irradiation with jagged-junction IMRT approach without beam edge matching for field junctions

2012 ◽  
Vol 39 (7Part3) ◽  
pp. 4635-4635
Author(s):  
F Cao ◽  
R Ramaseshan ◽  
R Corns ◽  
S Harrop ◽  
N Nuraney ◽  
...  
2012 ◽  
Vol 84 (3) ◽  
pp. 648-654 ◽  
Author(s):  
Fred Cao ◽  
Ramani Ramaseshan ◽  
Robert Corns ◽  
Sheryl Harrop ◽  
Nimet Nuraney ◽  
...  

2021 ◽  
Vol 109 (3) ◽  
pp. 712-717
Author(s):  
Arnold C. Paulino ◽  
Hilary S. Suzawa ◽  
ZoAnn E. Dreyer ◽  
Alexander N. Hanania ◽  
Murali Chintagumpala ◽  
...  

2021 ◽  
Vol 13 (10) ◽  
pp. 1903
Author(s):  
Zhihui Li ◽  
Jiaxin Liu ◽  
Yang Yang ◽  
Jing Zhang

Objects in satellite remote sensing image sequences often have large deformations, and the stereo matching of this kind of image is so difficult that the matching rate generally drops. A disparity refinement method is needed to correct and fill the disparity. A method for disparity refinement based on the results of plane segmentation is proposed in this paper. The plane segmentation algorithm includes two steps: Initial segmentation based on mean-shift and alpha-expansion-based energy minimization. According to the results of plane segmentation and fitting, the disparity is refined by filling missed matching regions and removing outliers. The experimental results showed that the proposed plane segmentation method could not only accurately fit the plane in the presence of noise but also approximate the surface by plane combination. After the proposed plane segmentation method was applied to the disparity refinement of remote sensing images, many missed matches were filled, and the elevation errors were reduced. This proved that the proposed algorithm was effective. For difficult evaluations resulting from significant variations in remote sensing images of different satellites, the edge matching rate and the edge matching map are proposed as new stereo matching evaluation and analysis tools. Experiment results showed that they were easy to use, intuitive, and effective.


2020 ◽  
Vol 2 (Supplement_3) ◽  
pp. ii12-ii12
Author(s):  
Tomoya Irikura ◽  
Kohei Fukuoka ◽  
Makiko Mori ◽  
Koichi Oshima ◽  
Yuki Arakawa ◽  
...  

Abstract A novel risk stratification of medulloblastoma has been proposed based on retrospective data from patients undergoing standard treatment. However, it remains unclear whether the classification is applicable to patients receiving reduced-dose craniospinal irradiation (CSI). We performed molecular diagnosis and copy number analysis using methylation array on patients with standard-risk medulloblastoma treated with 18 Gy CSI at our institution. Nine tumor samples were available for analysis from seven patients who had a median age of 7.4 years at disease onset and a median observation period of 73 months. Three patients had recurrence, and another patient developed radiation-induced glioblastoma. From the three recurrent cases, one was molecularly diagnosed as SHH subtype with MYCN amplification; another case was a Group 4 tumor without favorable prognostic chromosomal aberrations, and the remaining patient experienced a very late relapse despite low-risk stratification. Of the recurrence-free cases, one was classified as WNT subtype, and another was a Group 4 tumor with chromosome 7 gain, and loss of chromosomes 8 and 11, both of which were associated with good prognosis. Methylation analysis also unveiled the fact that the recurrent tumor diagnosed as relapsing medulloblastoma by conventional diagnostic tools was in fact a radiation-induced glioblastoma. Our data suggested that the new risk stratification may be useful for cases treated with CSI reduced to 18 Gy. However, due to the presence of the late-relapsed case stratified to low risk, further investigations with a larger cohort should be required to confirm the data.


2016 ◽  
Vol 18 (suppl 3) ◽  
pp. iii98.3-iii98
Author(s):  
Anna Bowzyk Al-Naeeb ◽  
Thankamma Ajithkumar ◽  
Gail Horan

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