open access

Vol 21, No 6 (2016)
Original research articles
Published online: 2016-11-01
Submitted: 2016-02-11
Get Citation

An empirical method for automatic determination of maximum number of segments in DMPO-based IMRT for Head and Neck cases

Vaitheeswaran Ranganathan, K. Joseph Maria Das
DOI: 10.1016/j.rpor.2016.09.004
·
Rep Pract Oncol Radiother 2016;21(6):571-578.

open access

Vol 21, No 6 (2016)
Original research articles
Published online: 2016-11-01
Submitted: 2016-02-11

Abstract

Aim

An empirical scheme called “anatomy-guided segment counting (AGSC)” is proposed for automatic selection of maximum number of segments (NOS) for direct machine parameter optimization (DMPO).

Background

Direct machine parameter optimization (DMPO) requires the user to define the maximum number of segments (NOS) in order to proceed with an optimization process. Till date there is no established approach to arrive at an optimal and case-specific maximum NOS in DMPO, and this step is largely left to the planner's experience.

Materials and methods

The AGSC scheme basically uses the Beam's-eye views (BEVs) and other planning parameters to decide on appropriate number of segments for the beam. The proposed algorithm was tested in eight H&N cases. We used Auto Plan feature available in Pinnacle3 (version 9.10.0) for driving the DMPO optimization.

Results

There is about 13% reduction in the composite objective value in AGSC plans as compared to the plans employing 6 NOS per beam and 10% increase in the composite objective value in AGSC plans as compared to the plans employing 8 NOS per beam. On the delivery efficiency front, there is about 10% increase in NOS in AGSC plans as compared to the plans employing 6 NOS per beam specification. Similarly, there is about 19% reduction in NOS in AGSC plans as compared to the plans employing 8 NOS per beam specification.

Conclusion

The study demonstrates that the AGSC method allows specifying appropriate number of segments into the DMPO module accounting for the complexity of a given case.

Abstract

Aim

An empirical scheme called “anatomy-guided segment counting (AGSC)” is proposed for automatic selection of maximum number of segments (NOS) for direct machine parameter optimization (DMPO).

Background

Direct machine parameter optimization (DMPO) requires the user to define the maximum number of segments (NOS) in order to proceed with an optimization process. Till date there is no established approach to arrive at an optimal and case-specific maximum NOS in DMPO, and this step is largely left to the planner's experience.

Materials and methods

The AGSC scheme basically uses the Beam's-eye views (BEVs) and other planning parameters to decide on appropriate number of segments for the beam. The proposed algorithm was tested in eight H&N cases. We used Auto Plan feature available in Pinnacle3 (version 9.10.0) for driving the DMPO optimization.

Results

There is about 13% reduction in the composite objective value in AGSC plans as compared to the plans employing 6 NOS per beam and 10% increase in the composite objective value in AGSC plans as compared to the plans employing 8 NOS per beam. On the delivery efficiency front, there is about 10% increase in NOS in AGSC plans as compared to the plans employing 6 NOS per beam specification. Similarly, there is about 19% reduction in NOS in AGSC plans as compared to the plans employing 8 NOS per beam specification.

Conclusion

The study demonstrates that the AGSC method allows specifying appropriate number of segments into the DMPO module accounting for the complexity of a given case.

Get Citation

Keywords

IMRT; Number of segments; Aperture-based IMRT; DMPO; Anatomy-guided segments

About this article
Title

An empirical method for automatic determination of maximum number of segments in DMPO-based IMRT for Head and Neck cases

Journal

Reports of Practical Oncology and Radiotherapy

Issue

Vol 21, No 6 (2016)

Pages

571-578

Published online

2016-11-01

DOI

10.1016/j.rpor.2016.09.004

Bibliographic record

Rep Pract Oncol Radiother 2016;21(6):571-578.

Keywords

IMRT
Number of segments
Aperture-based IMRT
DMPO
Anatomy-guided segments

Authors

Vaitheeswaran Ranganathan
K. Joseph Maria Das

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