Geometric and Dosimetric Validation of Deformable Image Registration for Prostate MR-guided Adaptive Radiotherapy

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Main Authors: Malkov, Victor N., Mansour, Iymad R., Kong, Vickie, Li, Winnie, Dang, Jennifer, Sadeghi, Parisa, Navarro, Inmaculada, Padayachee, Jerusha, Chung, Peter, Winter, Jeff D., Tadic, Tony
Format: Preprint
Published: 2025
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author Malkov, Victor N.
Mansour, Iymad R.
Kong, Vickie
Li, Winnie
Dang, Jennifer
Sadeghi, Parisa
Navarro, Inmaculada
Padayachee, Jerusha
Chung, Peter
Winter, Jeff D.
Tadic, Tony
author_facet Malkov, Victor N.
Mansour, Iymad R.
Kong, Vickie
Li, Winnie
Dang, Jennifer
Sadeghi, Parisa
Navarro, Inmaculada
Padayachee, Jerusha
Chung, Peter
Winter, Jeff D.
Tadic, Tony
contents Objective: Quantify geometric and dosimetric accuracy of a novel prostate MR-to-MR deformable image registration (DIR) approach to support MR-guided adaptive radiation therapy dose accumulation. Approach: We evaluated DIR accuracy in 25 patients treated with 30 Gy in 5 fractions on a 1.5 T MR-linac using an adaptive workflow. A reference MR was used for planning, with three images collected at each fraction: adapt MR for adaptive planning, verify MR for pretreatment position verification and beam-on for capturing anatomy during radiation delivery. We assessed three DIR approaches: intensity-based, intensity-based with controlling structures (CS) and novel intensity based with controlling structures and points of interest (CS+P). DIRs were performed between the reference and fraction images and within fractions. We propagated CTV, bladder, and rectum contours using the DIRs and compared to manual contours using Dice similarity coefficient, mean distance to agreement (DTAmean), and dose-volume metrics. Results: CS and CS+P improved geometric agreement between contours over intensity-only DIR. DTAmean for reference-to-beam-on intensity-only DIR was 0.131+/-0.009cm (CTV), 0.46+/-0.08cm (bladder), and 0.154+/-0.013cm (rectum). For the CS, the values were 0.018+/-0.002cm, 0.388+/-0.14cm, and 0.036+/-0.013cm. For CS+P these values were 0.015+/-0.001cm, 0.025+/-0.004cm, and 0.021+/-0.002cm. Dosimetrically, comparing CS and CS+P for reference to beam-on DIRs resulted in a change of CTV D98% from [-29cGy, 19cGy] to [-18cGy, 26cGy], rectum D1cc from [-106cGy, 72cGy] to [-52cGy, 74cGy], and bladder D5cc from [-51cGy, 544cGy] to [-79cGy, 36cGy]. Significance: CS improved geometric and dosimetric accuracy over intensity-only DIR, with CS+P providing the most consistent performance. However, session image segmentation remains a challenge, which may be addressed with automated contouring.
format Preprint
id arxiv_https___arxiv_org_abs_2504_07933
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Geometric and Dosimetric Validation of Deformable Image Registration for Prostate MR-guided Adaptive Radiotherapy
Malkov, Victor N.
Mansour, Iymad R.
Kong, Vickie
Li, Winnie
Dang, Jennifer
Sadeghi, Parisa
Navarro, Inmaculada
Padayachee, Jerusha
Chung, Peter
Winter, Jeff D.
Tadic, Tony
Medical Physics
Objective: Quantify geometric and dosimetric accuracy of a novel prostate MR-to-MR deformable image registration (DIR) approach to support MR-guided adaptive radiation therapy dose accumulation. Approach: We evaluated DIR accuracy in 25 patients treated with 30 Gy in 5 fractions on a 1.5 T MR-linac using an adaptive workflow. A reference MR was used for planning, with three images collected at each fraction: adapt MR for adaptive planning, verify MR for pretreatment position verification and beam-on for capturing anatomy during radiation delivery. We assessed three DIR approaches: intensity-based, intensity-based with controlling structures (CS) and novel intensity based with controlling structures and points of interest (CS+P). DIRs were performed between the reference and fraction images and within fractions. We propagated CTV, bladder, and rectum contours using the DIRs and compared to manual contours using Dice similarity coefficient, mean distance to agreement (DTAmean), and dose-volume metrics. Results: CS and CS+P improved geometric agreement between contours over intensity-only DIR. DTAmean for reference-to-beam-on intensity-only DIR was 0.131+/-0.009cm (CTV), 0.46+/-0.08cm (bladder), and 0.154+/-0.013cm (rectum). For the CS, the values were 0.018+/-0.002cm, 0.388+/-0.14cm, and 0.036+/-0.013cm. For CS+P these values were 0.015+/-0.001cm, 0.025+/-0.004cm, and 0.021+/-0.002cm. Dosimetrically, comparing CS and CS+P for reference to beam-on DIRs resulted in a change of CTV D98% from [-29cGy, 19cGy] to [-18cGy, 26cGy], rectum D1cc from [-106cGy, 72cGy] to [-52cGy, 74cGy], and bladder D5cc from [-51cGy, 544cGy] to [-79cGy, 36cGy]. Significance: CS improved geometric and dosimetric accuracy over intensity-only DIR, with CS+P providing the most consistent performance. However, session image segmentation remains a challenge, which may be addressed with automated contouring.
title Geometric and Dosimetric Validation of Deformable Image Registration for Prostate MR-guided Adaptive Radiotherapy
topic Medical Physics
url https://arxiv.org/abs/2504.07933