scholarly journals Thoracic target volume delineation using various maximum-intensity projection computed tomography image sets for radiotherapy treatment planning

2010 ◽  
Vol 37 (11) ◽  
pp. 5811-5820 ◽  
Author(s):  
David A. Zamora ◽  
Adam C. Riegel ◽  
Xiaojun Sun ◽  
Peter Balter ◽  
George Starkschall ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Maximum Intensity Projection ◽  
Target Volume ◽  
Maximum Intensity ◽  
Radiotherapy Treatment Planning ◽  
Target Volume Delineation ◽  
Volume Delineation ◽  
Tomography Image ◽  
Computed Tomography Image ◽  
Radiotherapy Treatment

scholarly journals Is maximum intensity projection an optimal approach for internal target volume delineation in lung cancer?

2021 ◽  
Vol 46 (2) ◽  
pp. 59
Author(s):  
JaiPrakash Agrawal ◽  
Anil Tibdewal ◽  
Sabheen Bushra ◽  
Naveen Mummudi ◽  
Rajesh Kinhikar ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Maximum Intensity Projection ◽  
Target Volume ◽  
Maximum Intensity ◽  
Internal Target ◽  
Internal Target Volume ◽  
Target Volume Delineation ◽  
Volume Delineation ◽  
Optimal Approach

scholarly journals Radiotherapy treatment planning: Benefits of CT-MR image registration and fusion in tumor volume delineation

2013 ◽  
Vol 70 (8) ◽  
pp. 735-739 ◽  
Author(s):  
Igor Djan ◽  
Borislava Petrovic ◽  
Marko Erak ◽  
Ivan Nikolic ◽  
Silvija Lucic
Keyword(s):  
Image Fusion ◽  
Treatment Planning ◽  
Tumor Volume ◽  
Imaging Techniques ◽  
Target Volume ◽  
Radiotherapy Treatment Planning ◽  
Image Study ◽  
Volume Delineation ◽  
Radiotherapy Treatment ◽  
Mri Image

Background/Aim. Development of imaging techniques, computed tomography (CT), magnetic resonance imaging (MRI), and positron emission tomography (PET), made great impact on radiotherapy treatment planning by improving the localization of target volumes. Improved localization allows better local control of tumor volumes, but also minimizes geographical misses. Mutual information is obtained by registration and fusion of images achieved manually or automatically. The aim of this study was to validate the CT-MRI image fusion method and compare delineation obtained by CT versus CT-MRI image fusion. Methods. The image fusion software (XIO CMS 4.50.0) was applied to delineate 16 patients. The patients were scanned on CT and MRI in the treatment position within an immobilization device before the initial treatment. The gross tumor volume (GTV) and clinical target volume (CTV) were delineated on CT alone and on CT+MRI images consecutively and image fusion was obtained. Results. Image fusion showed that CTV delineated on a CT image study set is mainly inadequate for treatment planning, in comparison with CTV delineated on CT-MRI fused image study set. Fusion of different modalities enables the most accurate target volume delineation. Conclusion. This study shows that registration and image fusion allows precise target localization in terms of GTV and CTV and local disease control.

Sign in / Sign up

Export Citation Format

Share Document