Rapidly converging 3D iterative deconvolution method for image improvement from different clinical modalities

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Purpose: To demonstrate an application of rapidly converging, 3D iterative deconvolution method [1] with a novel resolution subsets-based (Richardson-Lucy like algorithm [2-3] with multiple resolution levels) approach RSEMD that operates on DICOM images to improve the image resolution and contrast. Materials and Methods: The RSEMD method was tested on phantoms, pre-clinical and clinical imaging data from different imaging scanners [4-8] (PET, CT, MRI, X-RAY, PEM, DBT, MBI). This method was applied to images previously reconstructed with conventional software to determine improvements in image resolution, SNR and CNR. The blurred clinical image is iterated against different resolution kernels to maximize SNR. Results: In the entire phantom, pre-clinical and clinical studies the improved images proved to have higher resolution, contrast and lower noise as compared with images reconstructed by conventional FBP, MLEM, EMSM, EMBD or OSEM software. Conclusions: The proposed RSEMD method can be applied to clinical images to further improve image quality in order to aid in the diagnosis of cancer at the earliest stages.

Original languageEnglish (US)
Title of host publicationComputational Optical Sensing and Imaging, COSI 2020
PublisherThe Optical Society
ISBN (Electronic)9781557528209
StatePublished - 2020
EventComputational Optical Sensing and Imaging, COSI 2020 - Part of Imaging and Applied Optics Congress 2020 - Virtual, Online, United States
Duration: Jun 22 2020Jun 26 2020

Publication series

NameOptics InfoBase Conference Papers

Conference

ConferenceComputational Optical Sensing and Imaging, COSI 2020 - Part of Imaging and Applied Optics Congress 2020
Country/TerritoryUnited States
CityVirtual, Online
Period6/22/206/26/20

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Mechanics of Materials

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