Framework for photon counting quantitative material decomposition |
|
Author: | Juntunen, Mikael A. K.1; Inkinen, Satu I.1; Ketola, Juuso H.1; |
Organizations: |
1Research Unit of Medical Imaging, Physics and Technology, University of Oulu, 5A, FI - 90220 Oulu, Finland 2Medical Research Center, University of Oulu and Oulu University Hospital, Oulu, Finland 3Department of Diagnostic Radiology, Oulu University Hospital, POB 50, FI - 90029, Oulu, Finland
4Detection Technology Oyj., Elektroniikkatie 10, FI - 90590 Oulu, Finland
5Detection Technology Oyj., Ahventie 4B, FI - 02170, Espoo, Finland |
Format: | article |
Version: | published version |
Access: | open |
Online Access: | PDF Full Text (PDF, 2.8 MB) |
Persistent link: | http://urn.fi/urn:nbn:fi-fe2019091628289 |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers,
2020
|
Publish Date: | 2019-09-16 |
Description: |
AbstractIn this work, the accuracy of material decomposition (MD) using an energy discriminating photon counting detector was studied. An MD framework was established and validated using calcium hydroxyapatite (CaHA) inserts of known densities (50 mg/cm³, 100 mg/cm³, 250 mg/cm³, 400 mg/cm³), and diameters (1.2 mm, 3.0 mm, 5.0 mm). These inserts were placed in a cardiac rod phantom that mimics a tissue equivalent heart and measured using an experimental photon counting detector cone beam computed tomography (PCD-CBCT) setup. The quantitative coronary calcium scores (density, mass, and volume) obtained from the MD framework were compared with the nominal values. Additionally, three different calibration techniques, signal-toequivalent thickness calibration (STC), polynomial correction (PC), and projected equivalent thickness calibration (PETC) were compared to investigate the effect of the calibration method on the quantitative values. The obtained MD estimates agreed well with the nominal values for density (mass) with mean absolute percent errors (MAPEs) 8 ± 11% (9 ± 15%) and 4 ± 6% (9 ± 14%) for STC and PETC calibration methods, respectively. PC displayed large MAPEs for density (27 ± 9%), and mass (25 ± 12%). Volume estimation resulted in large deviations between true and measured values with notable MAPEs for STC (40 ± 90%), PC (40 ± 80%), and PETC (40 ± 90%). The framework demonstrated the feasibility of quantitative CaHA mass and density scoring using PCD-CBCT. see all
|
Series: |
IEEE transactions on medical imaging |
ISSN: | 0278-0062 |
ISSN-E: | 1558-254X |
ISSN-L: | 0278-0062 |
Volume: | 39 |
Issue: | 1 |
Pages: | 35 - 47 |
DOI: | 10.1109/TMI.2019.2914370 |
OADOI: | https://oadoi.org/10.1109/TMI.2019.2914370 |
Type of Publication: |
A1 Journal article – refereed |
Field of Science: |
114 Physical sciences 217 Medical engineering |
Subjects: | |
Copyright information: |
© 2019 The Authors. This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see http://creativecommons.org/licenses/by/4.0/ |
https://creativecommons.org/licenses/by/4.0/ |