A Simplistic Approach for Registration of Orthogonal Planar Images as a Pre-Preparation for Externally Acquired Cranial Images in Department of Radiation Oncology, Nayati Healthcare and Research Centre
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International Journal of Computer Trends and Technology (IJCTT) | 
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| © 2015 by IJCTT Journal | ||
| Volume-29 Number-1 |
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| Year of Publication : 2015 | ||
| Authors : Sujit Nath Sinha, Santanu Chaudhuri, Somnath Dey | ||
| DOI : 10.14445/22312803/IJCTT-V29P110 |
Sujit Nath Sinha, Santanu Chaudhuri, Somnath Dey "A Simplistic Approach for Registration of Orthogonal Planar Images as a Pre-Preparation for Externally Acquired Cranial Images in Department of Radiation Oncology, Nayati Healthcare and Research Centre". International Journal of Computer Trends and Technology (IJCTT) V29(1):55-59, November 2015. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.
Abstract -
Accurate image registration for CT-CT,
CT-MRI for brain is necessary to obtain clinical
information from diagnostic images and translate the
information to radiotherapy treatment planning CT
images.
Mostly in cases of Post-Surgery cases that have been
operated outside hospitals and are being referred for
Post-Operative adjuvant Radiotherapy to our Centre,
where the pre-operative volume is very importantly
necessary in radiotherapy planning, a pre preparation
was needed.
The intention of the work is two folds. One is to make
the outside clinic diagnostic images with rectangular
matrix dimension compatible with our treatment
planning system (TPS), Eclipse version 11. Second use
point by point registration in three orthogonal planes
as pre-preparation process for specific outside clinic
diagnostic images where registration accuracy was
not the intention. Both the intentions were handled
using in-house developed software in Matlab and the
saved registered images were transferred to TPS for
auto matching the images for fine tune. Visual
inspection of the registration was in good agreement.
The mean variation for the dimension of the
registered phantom images from the Base image of
the phantom were found to be 0.5 mm which was less
than 1 pixel value.
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Keywords
CT-CT, CT-MRI, manual fusion, RT
Planning, treatment planning system (TPS), Base
image, Input image, Matlab.