Gaussian primitives for deformable image registration [PDF]
Physics and Imaging in Radiation OncologyBackground and Purpose:: Deformable image registration (DIR) plays a critical role in radiotherapy by compensating for anatomical deformations. However, existing iterative and data-driven methods are often hindered by computational inefficiency or ...
Jihe Li +6 more
doaj +5 more sources
Efficient cosine-windowed cross-correlation for intermediate deformable image registration [PDF]
Scientific ReportsDeformable image registration is commonly included in population and longitudinal medical imaging analysis pipelines. Initializing deformable registration with the results of affine registration, where global misalignments have been reduced, can improve ...
Iman Aganj
doaj +2 more sources
Application of radiomics-based image filtering to improve deformable image registration accuracy in thoracic images [PDF]
Physics and Imaging in Radiation OncologyBackground and purpose: Deformable image registration (DIR) is an important technique in radiation therapy. To improve DIR accuracy, we applied radiomics-based image filtering as a preprocessing step before DIR.
Yoshiro Ieko +2 more
doaj +2 more sources
Benchmarking and performance evaluation of a novel deformable image registration software for radiotherapy CT images [PDF]
Technical Innovations & Patient Support in Radiation OncologyPurpose: We evaluated and benchmarked a novel deformable image registration (DIR) software functionality (DirOne, Cosylab d.d., Ljubljana, Slovenia) by comparing it to two commercial systems, MIM and VelocityAI, following AAPM task group 132 (TG-132 ...
Shorug S. Alshammari +8 more
doaj +2 more sources
INSPIRE: Intensity and spatial information-based deformable image registration. [PDF]
PLoS ONE, 2023 We present INSPIRE, a top-performing general-purpose method for deformable image registration. INSPIRE brings distance measures which combine intensity and spatial information into an elastic B-splines-based transformation model and incorporates an ...
Johan Öfverstedt +2 more
doaj +2 more sources
Vector field attention for deformable image registration. [PDF]
J Med Imaging (Bellingham)Deformable image registration establishes non-linear spatial correspondences between fixed and moving images. Deep learning-based deformable registration methods have been widely studied in recent years due to their speed advantage over traditional algorithms as well as their better accuracy.
Liu Y +4 more
europepmc +4 more sources
Unsupervised cycle-consistent network for 3D pelvic mono- or multimodal deformable image registration [PDF]
Radiation OncologyBackground To develop a novel deformable image registration method aimed at improving the accuracy of multimodal image registration in radiotherapy.
Xin Zhang +5 more
doaj +2 more sources
Generalized div-curl based regularization for physically constrained deformable image registration [PDF]
Scientific ReportsVariational image registration methods commonly employ a similarity metric and a regularization term that renders the minimization problem well-posed.
Paris Tzitzimpasis +3 more
doaj +2 more sources
CycleMorph: Cycle consistent unsupervised deformable image registration [PDF]
Medical Image Analysis, 2021 Image registration is a fundamental task in medical image analysis. Recently, deep learning based image registration methods have been extensively investigated due to their excellent performance despite the ultra-fast computational time. However, the existing deep learning methods still have limitation in the preservation of original topology during ...
Boah Kim +5 more
openaire +3 more sources
F3RNet: full-resolution residual registration network for deformable image registration [PDF]
International Journal of Computer Assisted Radiology and Surgery, 2021 Deformable image registration (DIR) is essential for many image-guided therapies. Recently, deep learning approaches have gained substantial popularity and success in DIR. Most deep learning approaches use the so-called mono-stream "high-to-low, low-to-high" network structure, and can achieve satisfactory overall registration results. However, accurate
Zhe Xu +4 more
openaire +3 more sources