title: Technical note: deformable image registration on partially matched images for radiotherapy applications.
abstract: In radiation therapy applications, deformable image registrations (DIRs) are often carried out between two images that only partially match. Image mismatching could present as superior-inferior coverage differences, field-of-view (FOV) cutoffs, or motion crossing the image boundaries. In this study, the authors propose a method to improve the existing DIR algorithms so that DIR can be carried out in such situations. The basic idea is to extend the image volumes and define the extension voxels (outside the FOV or outside the original image volume) as NaN (not-a-number) values that are transparent to all floating-point computations in the DIR algorithms. Registrations are then carried out with one additional rule that NaN voxels can match any voxels. In this way, the matched sections of the images are registered properly, and the mismatched sections of the images are registered to NaN voxels. This method makes it possible to perform DIR on partially matched images that otherwise are difficult to register. It may also improve DIR accuracy, especially near or in the mismatched image regions.
authors.affiliation: Department of Radiation Oncology, Washington University, Saint Louis, Missouri 63110, USA.
authors.forename: Deshan
authors.initials: D
authors.lastname: Yang
authors.forename: S Murty
authors.initials: SM
authors.lastname: Goddu
authors.forename: Wei
authors.initials: W
authors.lastname: Lu
authors.forename: Olga L
authors.initials: OL
authors.lastname: Pechenaya
authors.forename: Yu
authors.initials: Y
authors.lastname: Wu
authors.forename: Joseph O
authors.initials: JO
authors.lastname: Deasy
authors.forename: Issam
authors.initials: I
authors.lastname: El Naqa
authors.forename: Daniel A
authors.initials: DA
authors.lastname: Low
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D006801:Humans; D010363:Pattern Recognition, Automated / Q000379:methods*; D011856:Radiographic Image Enhancement / Q000379:methods; D011857:Radiographic Image Interpretation, Computer-Assisted / Q000379:methods*; D011881:Radiotherapy, Computer-Assisted / Q000379:methods*; D020266:Radiotherapy, Conformal / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted; D013382:Subtraction Technique; D014057:Tomography, X-Ray Computed / Q000379:methods*