University of Oulu

M. A. K. Juntunen et al., "Framework for Photon Counting Quantitative Material Decomposition," in IEEE Transactions on Medical Imaging, vol. 39, no. 1, pp. 35-47, Jan. 2020. doi: 10.1109/TMI.2019.2914370

Framework for photon counting quantitative material decomposition

Saved in:
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:
Language: English
Published: Institute of Electrical and Electronics Engineers, 2020
Publish Date: 2019-09-16


In 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
Type of Publication: A1 Journal article – refereed
Field of Science: 114 Physical sciences
217 Medical engineering
Copyright information: © 2019 The Authors. This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see