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Introducing ARONG, A 3D Reconstruction Method for Highly Deformed Histology.

Yurim Lee1, Kwangok P Nickel2, Maxwell J Kiernan3

  • 1Medical Physics, University of Wisconsin School of Medicine and Public Health (UW-SMPH), Madison, WI, USA. ylee739@wisc.edu.

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Summary
This summary is machine-generated.

A new pipeline, ARONG (Artifact-correcting Reconstruction Of Nonrigidly-deformed Geometries), enables 3D reconstruction of highly deformed tissues. This method improves accuracy for complex samples like carotid plaques, outperforming existing 3D reconstruction techniques.

Keywords:
Digital histopathologyHistopathologyHistopathology alignmentHistopathology reconstruction

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Area of Science:

  • Biomedical Engineering
  • Digital Pathology
  • Medical Imaging

Background:

  • Three-dimensional (3D) histopathology offers enhanced diagnostic and treatment insights but faces challenges with highly deformable tissues.
  • Existing 3D reconstruction methods struggle with significant deformations and spatially disconnected components common in tissues like carotid plaques.

Purpose of the Study:

  • To develop a novel 3D reconstruction pipeline, ARONG (Artifact-correcting Reconstruction Of Nonrigidly-deformed Geometries), specifically for highly deformed histology.
  • To address challenges in reconstructing complex, non-rigid tissue structures and artifacts inherent in histological processing.

Main Methods:

  • ARONG employs iterative alignment of 2D histology slides using affine transformations.
  • The pipeline incorporates context-dependent artifact correction and specific matching criteria for distorted local features.
  • It provides guidance on artifact correction mechanisms and their priority for complex tissue samples.

Main Results:

  • ARONG successfully reconstructed 3D histology from twenty human atheromatous carotid plaques.
  • The pipeline achieved a Jaccard index of 0.64 ± 0.19 when compared with ex vivo ultrasound for four specimens.
  • ARONG demonstrated superior performance over the state-of-the-art CODA method, achieving approximately 14% higher Jaccard index.

Conclusions:

  • ARONG provides a robust solution for 3D reconstruction of highly deformed histology, including samples with disconnected components.
  • The pipeline's effectiveness was validated across various tissue types, including human tumors, murine hearts, and arteries.
  • ARONG represents a significant advancement in 3D histopathology, enabling more accurate reconstructions for challenging biological samples.