open access

Vol 21, No 5 (2016)
Original research articles
Published online: 2016-09-01
Submitted: 2015-07-05
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Accuracy in automatic image registration between MV cone beam computed tomography and planning kV computed tomography in image guided radiotherapy

Nithya Kanakavelu, E. James Samuel
DOI: 10.1016/j.rpor.2016.07.001
·
Rep Pract Oncol Radiother 2016;21(5):487-494.

open access

Vol 21, No 5 (2016)
Original research articles
Published online: 2016-09-01
Submitted: 2015-07-05

Abstract

Aim

To verify the accuracy of automatic image registration (IR) between the planning kilo voltage computed tomography (kV CT) and megavoltage cone beam computed tomography (MV CBCT) datasets using phantom and patient images.

Background

The automatic IR between MV CBCT and planning kV CT is a fast solution for performing online image guided radiotherapy (IGRT). The IR accuracy has to be verified periodically as it directly affects patient setup accuracy.

Materials and methods

The automatic IR accuracy was evaluated using image quality phantom acquired with different kV CT slice thickness, different MV CBCT acquisition MUs and reconstruction slice size and thickness. The IR accuracy was also evaluated on patient images on different anatomical sites such as brain, head & neck, thorax and pelvis. The uncertainty in the automatic registration was assessed by introducing known offset to kV CT dataset and compared with the registration results.

Results

The result with the phantom images was within 2[[ce:hsp sp="0.25"/]]mm in all three translational directions. The accuracy in automatic IR using patient images was within 2[[ce:hsp sp="0.25"/]]mm in most of the cases. 3[[ce:hsp sp="0.25"/]]mm planning kV CT slice thickness was sufficient to perform automatic IR successfully within 2[[ce:hsp sp="0.25"/]]mm accuracy. The MV CBCT reconstruction parameters such as slice thickness and slice size had no effect on the registration accuracy.

Conclusion

This study shows that the automatic IR is accurate within 2[[ce:hsp sp="0.25"/]]mm and provides confidence in performing them between planning kV CT and MV CBCT image datasets for online image guided radiotherapy.

Abstract

Aim

To verify the accuracy of automatic image registration (IR) between the planning kilo voltage computed tomography (kV CT) and megavoltage cone beam computed tomography (MV CBCT) datasets using phantom and patient images.

Background

The automatic IR between MV CBCT and planning kV CT is a fast solution for performing online image guided radiotherapy (IGRT). The IR accuracy has to be verified periodically as it directly affects patient setup accuracy.

Materials and methods

The automatic IR accuracy was evaluated using image quality phantom acquired with different kV CT slice thickness, different MV CBCT acquisition MUs and reconstruction slice size and thickness. The IR accuracy was also evaluated on patient images on different anatomical sites such as brain, head & neck, thorax and pelvis. The uncertainty in the automatic registration was assessed by introducing known offset to kV CT dataset and compared with the registration results.

Results

The result with the phantom images was within 2[[ce:hsp sp="0.25"/]]mm in all three translational directions. The accuracy in automatic IR using patient images was within 2[[ce:hsp sp="0.25"/]]mm in most of the cases. 3[[ce:hsp sp="0.25"/]]mm planning kV CT slice thickness was sufficient to perform automatic IR successfully within 2[[ce:hsp sp="0.25"/]]mm accuracy. The MV CBCT reconstruction parameters such as slice thickness and slice size had no effect on the registration accuracy.

Conclusion

This study shows that the automatic IR is accurate within 2[[ce:hsp sp="0.25"/]]mm and provides confidence in performing them between planning kV CT and MV CBCT image datasets for online image guided radiotherapy.

Get Citation

Keywords

Automatic image registration; Cone beam computed tomography (CBCT); Image guided radiotherapy (IGRT)

About this article
Title

Accuracy in automatic image registration between MV cone beam computed tomography and planning kV computed tomography in image guided radiotherapy

Journal

Reports of Practical Oncology and Radiotherapy

Issue

Vol 21, No 5 (2016)

Pages

487-494

Published online

2016-09-01

DOI

10.1016/j.rpor.2016.07.001

Bibliographic record

Rep Pract Oncol Radiother 2016;21(5):487-494.

Keywords

Automatic image registration
Cone beam computed tomography (CBCT)
Image guided radiotherapy (IGRT)

Authors

Nithya Kanakavelu
E. James Samuel

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