title: Treatment field shape verification using elliptic Fourier transform.
abstract: An automated field shape correlation technique based on elliptic Fourier transform (EFT) is developed to verify the radiation treatment field in digital portal images. In this method, the edge of the treatment field is initially extracted from the portal image and is then approximated by a polygon. The polygon is further represented with elliptic Fourier coefficients. The invariants to shift, rotation, and scale are computed from the elliptic Fourier coefficients to characterize the genuine shape feature and are used to match the reference treatment field. Invariants calculated from both test and reference field shapes are compared to determine the similarity between two treatment fields. The proposed procedure uses the first approved field shape as the reference for automated comparison with subsequent portal images. This technique not only verifies the shape of each portal field but also provides information about relative shift, rotation, and scale. A set of generic shapes is simulated to test the robustness of the algorithm and to determine the parameters used in the decision procedure. Experimental results on the simulated shapes show that this method can detect shape distortions of 2% in area and the standard deviations are 0 for shifting, 0.24 degrees for rotation, and 0.0031 for scaling. Preliminary tests on clinical portal images indicated that this technique is potentially useful for automated real-time portal verification.
authors.affiliation: Department of Radiation Oncology, Henry Ford Hospital, Detroit, Michigan, USA.
authors.forename: Q
authors.initials: Q
authors.lastname: Gao
authors.forename: F F
authors.initials: FF
authors.lastname: Yin
authors.forename: K
authors.initials: K
authors.lastname: Nie
mesh_terms: D000465:Algorithms; D005583:Fourier Analysis; D006801:Humans; D008962:Models, Theoretical; D010388:Pelvis / Q000000981:diagnostic imaging; D011859:Radiography; D011878:Radiotherapy / Q000379:methods*