Detection and tracking volumes of interest in 3D printed tissue engineering scaffolds using 4D imaging modalities

DOI: 10.1109/EMBC46164.2021.9630587

Authors: A. I. Kondarage (University of Moratuwa) , B. Gayani (University of Moratuwa) , G. Poologasundarampillai (University of Birmingham) , A. Nommeots-Nomm (Imperial College London) , P. D. Lee (University College London) , T. D. Lalitharatne (University College London) , N.d. Nanayakkara (University of Moratuwa) , J. R. Jones (Imperial College London) , A. Karunaratne (University of Moratuwa)
Co-authored by industrial partner: No

Type: Conference Paper
Conference: 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
Peer Reviewed: No

State: Published (Approved)
Published: November 2021
Diamond Proposal Number(s): 13241

Abstract: Additive manufacturing (AM) platforms allow the production of patient tissue engineering scaffolds with desirable architectures. Although AM platforms offer exceptional control on architecture, post-processing methods such as sintering and freeze-drying often deform the printed scaffold structure. In-situ 4D imaging can be used to analyze changes that occur during post-processing. Visualization and analysis of changes in selected volumes of interests (VOIs) over time are essential to understand the underlining mechanisms of scaffold deformations. Yet, automated detection and tracking of VOIs in the 3D printed scaffold over time using 4D image data is currently an unsolved image processing task. This paper proposes a new image processing technique to segment, detect and track volumes of interest in 3D printed tissue engineering scaffolds. The method is validated using a 4D synchrotron sourced microCT image data captured during the sintering of bioactive glass scaffolds in-situ. The proposed method will contribute to the development of scaffolds with controllable designs and optimum properties for the development of patient-specific scaffolds.

Journal Keywords: Image segmentation; Three-dimensional displays; Tissue engineering; Synchrotrons; Sintering; Production; Three-dimensional printing

Diamond Keywords: Additive Manufacturing

Subject Areas: Biology and Bio-materials


Instruments: I13-2-Diamond Manchester Imaging

Added On: 14/12/2021 09:43

Discipline Tags:

Biomaterials Health & Wellbeing Materials Science Life Sciences & Biotech

Technical Tags:

Imaging Tomography