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3D medical objects processing and retrieval using spherical harmonics: a case study with congestive heart failure MRI exams

Published: 09 April 2018 Publication History

Abstract

Spherical Harmonics (SPHARMs) have been widely used in the three-dimensional (3D) object processing domain. The harmonic coefficients generated by this mathematical theory are considered a robust source of information about 3D objects analyzed. This information is used for different purposes like 3D modeling, lighting, and objects description. Some works already use SPHARMs to compare 3D objects, but their application in the medical object retrieval domain is innovative. This work presents the use of SPHARMs to aid the diagnosis of Congestive Heart Failure (CHF) disease, by retrieving similar cases, given a 3D model of the heart as a query argument. After implementing SPHARMs using 3D objects reconstructed from Magnetic Resonance Imaging exams, we validated our approach by executing retrievals from objects with and without CHF. The results indicated an average precision of 80%. In addition, the execution time was 60% lower than some descriptors previously tested. Robustness of SPHARMs in a specific application domain is corroborated, showing that they can be a promising descriptor for 3D medical objects.

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Cited By

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  • (2022)Left Ventricle Segmentation in Cardiac MR: A Systematic Mapping of the Past DecadeACM Computing Surveys10.1145/351719054:11s(1-38)Online publication date: 9-Sep-2022
  • (2022)A systematic review of multi-slice and multi-frame descriptors in cardiac MRI examsComputer Methods and Programs in Biomedicine10.1016/j.cmpb.2022.106889221(106889)Online publication date: Jun-2022
  • (2022)A Comprehensive Survey on Two and Three-Dimensional Fourier Shape Descriptors: Biomedical ApplicationsArchives of Computational Methods in Engineering10.1007/s11831-022-09750-729:7(4643-4681)Online publication date: 30-Apr-2022
  • Show More Cited By

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cover image ACM Conferences
SAC '18: Proceedings of the 33rd Annual ACM Symposium on Applied Computing
April 2018
2327 pages
ISBN:9781450351911
DOI:10.1145/3167132
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 09 April 2018

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Author Tags

  1. 3D object retrieval
  2. 3D signal-based analysis
  3. congestive heart failure
  4. content-based image retrieval
  5. left ventricle
  6. spherical harmonics

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SAC 2018
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SAC 2018: Symposium on Applied Computing
April 9 - 13, 2018
Pau, France

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Overall Acceptance Rate 1,650 of 6,669 submissions, 25%

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Cited By

View all
  • (2022)Left Ventricle Segmentation in Cardiac MR: A Systematic Mapping of the Past DecadeACM Computing Surveys10.1145/351719054:11s(1-38)Online publication date: 9-Sep-2022
  • (2022)A systematic review of multi-slice and multi-frame descriptors in cardiac MRI examsComputer Methods and Programs in Biomedicine10.1016/j.cmpb.2022.106889221(106889)Online publication date: Jun-2022
  • (2022)A Comprehensive Survey on Two and Three-Dimensional Fourier Shape Descriptors: Biomedical ApplicationsArchives of Computational Methods in Engineering10.1007/s11831-022-09750-729:7(4643-4681)Online publication date: 30-Apr-2022
  • (2021)Spatial-Slepian Transform on the SphereIEEE Transactions on Signal Processing10.1109/TSP.2021.309326069(4474-4485)Online publication date: 2021
  • (2021)Parametric-based feature selection via spherical harmonic coefficients for the left ventricle myocardial infarction screeningMedical & Biological Engineering & Computing10.1007/s11517-021-02372-459:6(1261-1283)Online publication date: 13-May-2021
  • (2020)Optimal Window Design for Joint Spatial-Spectral Domain Filtering of Signals on the SphereICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)10.1109/ICASSP40776.2020.9054085(5785-5789)Online publication date: May-2020

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