000000369 001__ 369
000000369 005__ 20260219144726.0
000000369 0247_ $$2DOI$$a10.6083/M45X26WK
000000369 037__ $$aETD
000000369 245__ $$aNon-rigid image registration regularization, algorithms and applications
000000369 260__ $$bOregon Health and Science University
000000369 269__ $$a2010
000000369 336__ $$aThesis
000000369 502__ $$bPh.D.
000000369 502__ $$gComputer Science & Electrical Engineering (sunsetting)
000000369 520__ $$aImage registration aligns multiple images of the same scene so they can be compared and analyzed, yet automated correspondence detection—especially under non‑rigid deformation—remains challenging. This dissertation presents several contributions to non‑rigid image registration. First, a new intensity‑based similarity measure, Residual Complexity (RC), is introduced to handle spatially varying intensity distortions common in microscopy and MRI. Second, a novel rigid and non‑rigid point‑set registration method, the Coherent Point Drift (CPD) algorithm, is developed to jointly estimate point correspondences and transformations. Finally, a fully automated motion‑estimation framework for 3D+T echocardiography is proposed, incorporating ultrasound‑specific similarity measures and biomechanical constraints to generate dense deformation fields for quantifying myocardial strain and torsion. Validation using implanted marker data demonstrates the accuracy and clinical potential of the approach.
000000369 540__ $$fCC BY
000000369 542__ $$fIn copyright - single owner
000000369 650__ $$aMathematics$$021883
000000369 650__ $$aAlgorithms$$014437
000000369 650__ $$aImage Enhancement$$020648
000000369 650__ $$aMagnetic Resonance Imaging$$021747
000000369 650__ $$aImage Processing, Computer-Assisted$$020650
000000369 6531_ $$anon-rigid image registration
000000369 691__ $$aSchool of Medicine$$041369
000000369 692__ $$aDepartment of Science and Engineering$$041447
000000369 7001_ $$aMyronenko, Andriy$$uOregon Health and Science University$$041354
000000369 7201_ $$aSong, Xubo$$uOregon Health and Science University$$041354$$7Personal$$eAdvisor
000000369 8564_ $$9783479fd-f34c-4503-b7f7-c6e44e9ca7bd$$s20411443$$uhttps://digitalcollections.ohsu.edu/record/369/files/370_etd.pdf$$ePublic$$299db1dc1d40889b38fe0951579797883$$31
000000369 905__ $$a/rest/prod/4x/51/hj/05/4x51hj05x
000000369 909CO $$ooai:digitalcollections.ohsu.edu:369$$pstudent-work
000000369 956__ $$aGet Accessible Copy$$uhttps://ohsu.libwizard.com/f/requestaccessibledocument
000000369 980__ $$aTheses and Dissertations