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EVALUATION OF THE AUTOMATIC IMAGE REGISTRATION FEATURES OF A KV CONE-BEAM CT IMAGING SYSTEM L. Jánváry, N. Jansen, M. Mathot, E. Lenaerts, P. Martinive, P. A. Coucke Department of Radiotherapy, University Hospital Liège, Belgium [email protected] Purpose: As a part of the clinical implementation of a kV cone-beam CT (CBCT) volumetric imaging system for new Elekta Synergy linear accelerators, the automatic image registration (IR) system of the XVI Software was studied. We examined the effect of the variability of matching parameters of the software on the results of the patient position errors. Material and methods: An offline image analysis was performed of 80 CBCT scans on 20 patients for 4 localizations (breast, H&N, pelvis, lung) with 4 possible combinations of 2 sizes of volume of interest (VOI): (Large: L; Small: S) and 2 IR methods: (Bone: B; Grey value: G). The results of a Manual Matching (MM) were chosen as gold standard. The mean displacement vectors of the translational errors (3D vector) were calculated for comparison of the subgroups. We evaluated the serially repeated matching results offered by the software, when launching the automatic IR 3 times without resetting, using exactly the same parameters. All clinical decisions were made based on 2 orthogonal MV EPID images as we considered that CBCT needed validation. Results: The automatic IR was successful in 100% of the pelvis, lung and H&N, but failed in 20% of the measurements of the breast group. The differences between the magnitudes of 3D vectors were significant (p=0.011) when comparing MM with LB (Large-Bone), LG (Large-Grey value), and SG (Small-Grey value). The only preset combination that wasn’t significantly different from MM was SB (Small-Bone). The serially repeated matching results were generally within 1 mm of difference, but there were extreme values: 3.3; 3.1; 2.8; 2.5 mm for breast, lung, H&N and pelvis patients, respectively. The M, Σ and σ for the mean displacement vectors were: 5.9; 3.0; 0.9 mm for breast, 5.5; 3.8; 2.1 mm for lung, 5.2; 2.2; 1.4 mm for pelvis and 2.9; 0.6; 1.5 mm for H&N patient group, respectively, calculated from results of Small-Bone (SB) automatic IR. The M, Σ and σ values of SB CBCT were greater for all translation and rotation errors than that of the 2D portal. The group mean systematic error (M), the SD of systematic error (Σ), and the group mean random error (σ) for all the mean 3D vectors for 4 anatomic localizations, based on the results of the SB matching combinations Comparison of the mean (M), systematic (Σ ) and random (σ) errors of the translation errors of Small-Bone (SB) CBCT and 2D portal Conclusion: The presets for automatic IR strongly influence the position error magnitude calculated by XVI software. We suggest the use of a relatively small VOI and bone matching as a general approach. 2D portal imaging systematically underestimates the position errors. We plan to continue the accrual of patients to refine validation. Upcoming improvements of the XVI software will further ameliorate the reliability of 3D automatic IR, however human confirmation cannot be omitted.

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Page 1: EVALUATION OF THE AUTOMATIC IMAGE REGISTRATION FEATURES OF ... · resetting, using exactly the same parameters. All clinical decisions were made based on 2 orthogonal MV EPID images

EVALUATION OF THE AUTOMATIC IMAGE REGISTRATION FEAT URES

OF A KV CONE-BEAM CT IMAGING SYSTEML. Jánváry, N. Jansen, M. Mathot, E. Lenaerts, P. Ma rtinive, P. A. Coucke

Department of Radiotherapy, University Hospital Liè ge, Belgium

[email protected]

Purpose: As a part of the clinical implementation of a kV con e-beam CT (CBCT) volumetric imaging system for new ElektaSynergy linear accelerators, the automatic image reg istration (IR) system of the XVI Software was studied . We examined the effect of the variability of matching parameter s of the software on the results of the patient pos ition errors.

Material and methods: An offline image analysis was performed of 80 CBCT scans on 20 patients for 4 localizations(breast, H&N, pelvis, lung) with 4 possible combina tions of 2 sizes of volume of interest (VOI): (Larg e: L; Small: S) and 2 IR methods: (Bone: B; Grey value: G). The results o f a Manual Matching (MM) were chosen as gold standa rd. The mean displacement vectors of the translational errors (3 D vector) were calculated for comparison of the sub groups. We evaluated the serially repeated matching results of fered by the software, when launching the automatic IR 3 times without resetting, using exactly the same parameters. All c linical decisions were made based on 2 orthogonal M V EPID images as we considered that CBCT needed validation.

Results: The automatic IR was successful in 100% of the pelv is, lung and H&N, but failed in 20% of the measureme nts of the breast group. The differences between the magni tudes of 3D vectors were significant (p=0.011) when comparing MM with LB (Large-Bone), LG (Large-Grey value), and SG (Small-Grey value). The only preset combination tha t wasn’t significantly different from MM was SB (Small-Bone). The serially repeated matching results were genera lly within 1 mm of difference, but there were extreme values: 3.3; 3.1 ; 2.8; 2.5 mm for breast, lung, H&N and pelvis patie nts, respectively. The M, Σ and σ for the mean displacement vectors were: 5.9; 3.0; 0 .9 mm for breast, 5.5; 3.8; 2.1 mm for lung, 5.2; 2 .2; 1.4 mm for pelvis and 2.9; 0.6; 1.5 mm for H&N patient gro up, respectively, calculated from results of Small-B one (SB) automatic IR. The M, Σ and σ values of SB CBCT were greater for all translation a nd rotation errors than that of the 2D portal.

The group mean systematic error (M), the SD of systematic error (Σ), and the group mean random error (σ) for all the mean 3D vectors for 4 anatomic localizations, based on the results of the SB matching combinations Comparison of the mean (M), systematic (Σ ) and random (σ) errors of

the translation errors of Small-Bone (SB) CBCT and 2D portal

Conclusion: The presets for automatic IR strongly influence the position error magnitude calculated by XVI software. We suggest the use of a relatively small VOI and bone m atching as a general approach. 2D portal imaging sys tematically underestimates the position errors. We plan to cont inue the accrual of patients to refine validation. Upcoming improvements of the XVI software will further amelio rate the reliability of 3D automatic IR, however hu man confirmation cannot be omitted.