Comparing regularized Kelvinlet functions and the finite element method for registration of medical images to sparse organ data.

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Bibliographic Details
Title: Comparing regularized Kelvinlet functions and the finite element method for registration of medical images to sparse organ data.
Authors: Ringel MJ; Vanderbilt University, Department of Biomedical Engineering, Nashville, TN, USA; Vanderbilt Institute for Surgery and Engineering, Nashville, TN, USA. Electronic address: morgan.j.ringel@Vanderbilt.edu., Heiselman JS; Vanderbilt University, Department of Biomedical Engineering, Nashville, TN, USA; Vanderbilt Institute for Surgery and Engineering, Nashville, TN, USA; Memorial Sloan-Kettering Cancer Center, Department of Surgery, New York, NY, USA., Richey WL; Vanderbilt University, Department of Biomedical Engineering, Nashville, TN, USA; Vanderbilt Institute for Surgery and Engineering, Nashville, TN, USA., Meszoely IM; Vanderbilt University Medical Center, Division of Surgical Oncology, Nashville, TN, USA., Jarnagin WR; Memorial Sloan-Kettering Cancer Center, Department of Surgery, New York, NY, USA., Miga MI; Vanderbilt University, Department of Biomedical Engineering, Nashville, TN, USA; Vanderbilt Institute for Surgery and Engineering, Nashville, TN, USA.
Source: Medical image analysis [Med Image Anal] 2024 Aug; Vol. 96, pp. 103221. Date of Electronic Publication: 2024 May 26.
Publication Type: Journal Article; Comparative Study; Research Support, N.I.H., Extramural
Journal Info: Publisher: Elsevier Country of Publication: Netherlands NLM ID: 9713490 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1361-8423 (Electronic) Linking ISSN: 13618415 NLM ISO Abbreviation: Med Image Anal Subsets: MEDLINE
Database: MEDLINE Ultimate
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