Abstract

Background

The effects of reduced radiation dose CT for the generation of maxillofacial bone STL models for 3D printing is currently unknown. Images of two full-face transplantation patients scanned with non-contrast 320-detector row CT were reconstructed at fractions of the acquisition radiation dose using noise simulation software and both filtered back-projection (FBP) and Adaptive Iterative Dose Reduction 3D (AIDR3D). The maxillofacial bone STL model segmented with thresholding from AIDR3D images at 100 % dose was considered the reference. For all other dose/reconstruction method combinations, a “residual STL volume” was calculated as the topologic subtraction of the STL model derived from that dataset from the reference and correlated to radiation dose.

Results

The residual volume decreased with increasing radiation dose and was lower for AIDR3D compared to FBP reconstructions at all doses. As a fraction of the reference STL volume, the residual volume decreased from 2.9 % (20 % dose) to 1.4 % (50 % dose) in patient 1, and from 4.1 % to 1.9 %, respectively in patient 2 for AIDR3D reconstructions. For FBP reconstructions it decreased from 3.3 % (20 % dose) to 1.0 % (100 % dose) in patient 1, and from 5.5 % to 1.6 %, respectively in patient 2. Its morphology resembled a thin shell on the osseous surface with average thickness <0.1 mm.

Conclusion

The residual volume, a topological difference metric of STL models of tissue depicted in DICOM images supports that reduction of CT dose by up to 80 % of the clinical acquisition in conjunction with iterative reconstruction yields maxillofacial bone models accurate for 3D printing.

Details

Title
The residual STL volume as a metric to evaluate accuracy and reproducibility of anatomic models for 3D printing: application in the validation of 3D-printable models of maxillofacial bone from reduced radiation dose CT images
Author
Cai Tianrun 1 ; Rybicki, Frank J 2 ; Giannopoulos, Andreas A 1 ; Schultz, Kurt 3 ; Kumamaru, Kanako K 4 ; Liacouras, Peter 5 ; Shadpour, Demehri 6 ; Shu Small Kirstin M 7 ; Mitsouras Dimitris 8 

 Brigham and Women’s Hospital, Applied Imaging Science Lab, Department of Radiology, Boston, USA (GRID:grid.62560.37) (ISNI:0000000403788294) 
 The Ottawa Hospital Research Institute and Medical Imaging, Ottawa, Canada (GRID:grid.412687.e) (ISNI:0000000096065108); University of Ottawa, Department of Radiology, Ottawa, Canada (GRID:grid.28046.38) (ISNI:0000000121822255) 
 Toshiba Medical Research Institute USA, Vernon Hills, USA (GRID:grid.472849.4) (ISNI:0000 0004 0491 650X) 
 Juntendo University, Department of Radiology, Tokyo, Japan (GRID:grid.258269.2) (ISNI:0000000417622738) 
 Walter Reed National Military Medical Center, Department of Radiology, Bethesda, USA (GRID:grid.414467.4) (ISNI:0000000105606544) 
 Johns Hopkins University, School of Medicine, Division of Musculoskeletal Radiology, Russell H. Morgan Department of Radiology and Radiological Sciences, Baltimore, USA (GRID:grid.21107.35) (ISNI:0000000121719311) 
 Brigham and Women’s Hospital, Department of Radiology, Boston, USA (GRID:grid.62560.37) (ISNI:0000000403788294) 
 Brigham and Women’s Hospital, Department of Radiology, Boston, USA (GRID:grid.62560.37) (ISNI:0000000403788294); Brigham and Women’s Hospital, Applied Imaging Science Lab, Department of Radiology, Boston, USA (GRID:grid.62560.37) (ISNI:0000000403788294) 
Publication year
2015
Publication date
Dec 2015
Publisher
Springer Nature B.V.
e-ISSN
23656271
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2389516955
Copyright
© The Author(s) 2015. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.