Journal Article

DKFZ-2023-00622

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Biofidelic image registration for head and neck region utilizing an in-silico articulated skeleton as a transformation model.

Bauer, C. (First author)DKFZ* ; Teske, H.DKFZ* ; Walter, A.DKFZ* ; Hoegen, P.DKFZ* ; Adeberg, S. ; Debus, J.DKFZ* ; Jaekel, O.DKFZ* ; Giske, K. (Last author)DKFZ*

2023
IOP Publ. Bristol

Abstract: We propose an integration scheme for a biomechanical motion model into a deformable image registration. We demonstrate its accuracy and reproducibility for adaptive radiation therapy in the head and neck region.
Approach: The novel registration scheme for the bony structures in the head and neck regions is based on a previously developed articulated kinematic skeleton model. The realized iterative single-bone optimization process directly triggers posture changes of the articulated skeleton, exchanging the transformation model within the deformable image registration process.
Accuracy in terms of target registration errors in the bones is evaluated for 18 vector fields of three patients between each planning CT and six fraction CT scans distributed along the treatment course.
Main results: The median of target registration error distribution of the landmark pairs is 1.4 ± 0.3 mm. This is sufficient accuracy for adaptive radiation therapy. The registration performs equally well for all three patients and no degradation of the registration accuracy can be observed throughout the treatment.
Significance: Deformable image registration, despite its known residual uncertainties, is until now the tool of choice towards online re-planning automation. By introducing a biofidelic motion model into the optimization, we provide a viable way towards an in-build quality assurance.&#xD.

Keyword(s): articulated skeleton ; biomechanical model ; bone and joint kinematics ; deformable image registration ; head and neck cancer ; interfractional motion

Note: #EA:E040#LA:E040# / 2023 Apr 19;68(9)

---

Contributing Institute(s):

1. E040 Med. Physik in der Strahlentherapie (E040)
2. E050 KKE Strahlentherapie (E050)
3. DKTK HD zentral (HD01)

Research Program(s):

1. 315 - Bildgebung und Radioonkologie (POF4-315) (POF4-315)

Appears in the scientific report 2023

---

Database coverage:
; BIOSIS Previews ; Biological Abstracts ; Clarivate Analytics Master Journal List ; Current Contents - Life Sciences ; Ebsco Academic Search ; Essential Science Indicators ; IF < 5 ; JCR ; National-Konsortium ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection

---