PMID- 30891466
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20200928
IS  - 2329-4302 (Print)
IS  - 2329-4310 (Electronic)
IS  - 2329-4302 (Linking)
VI  - 6
IP  - 1
DP  - 2019 Jan
TI  - Impact of prior information on material decomposition in dual- and multienergy 
      computed tomography.
PG  - 013503
LID - 10.1117/1.JMI.6.1.013503 [doi]
LID - 013503
AB  - Prior information is often included in the basis material decomposition to solve 
      the quantification problem of three-material mixtures in dual-energy computed 
      tomography (DECT). Multienergy computed tomography (MECT) with more than two 
      energy bins can provide a sufficient solution to this problem without invoking 
      additional prior information. However, a question remains as to whether the prior 
      information should still be included in the material decomposition process using 
      MECT to improve the quantification accuracy and control noise amplification. This 
      study aims to evaluate the impact of the prior information on noise and 
      quantification bias in both DECT and MECT. The material decomposition tasks we 
      used in this study are to quantify water/iodine, water/iodine/gadolinium, and 
      water/ iodine/calcium in two- and three-material decompositions, under the 
      assumption that the object to be decomposed consists of the basis materials and 
      their mixtures. We performed phantom simulation and experimental studies using a 
      clinical DECT system and a research photon-counting-detector-based MECT system. 
      Results in the current phantom studies show that the prior information can still 
      improve the noise performance without substantially affecting the basis material 
      quantitative accuracy during the material decomposition process, even when the 
      number of x-ray energy beams/bins is equal or greater than the number of basis 
      materials.
FAU - Ren, Liqiang
AU  - Ren L
AUID- ORCID: 0000-0002-4095-7486
AD  - Mayo Clinic, Department of Radiology, Rochester, Minnesota, United States.
FAU - Tao, Shengzhen
AU  - Tao S
AD  - Mayo Clinic, Department of Radiology, Rochester, Minnesota, United States.
FAU - Rajendran, Kishore
AU  - Rajendran K
AUID- ORCID: 0000-0002-8314-3642
AD  - Mayo Clinic, Department of Radiology, Rochester, Minnesota, United States.
FAU - McCollough, Cynthia H
AU  - McCollough CH
AUID- ORCID: 0000-0002-5346-332X
AD  - Mayo Clinic, Department of Radiology, Rochester, Minnesota, United States.
FAU - Yu, Lifeng
AU  - Yu L
AD  - Mayo Clinic, Department of Radiology, Rochester, Minnesota, United States.
LA  - eng
GR  - C06 RR018898/RR/NCRR NIH HHS/United States
GR  - R01 EB016966/EB/NIBIB NIH HHS/United States
GR  - R21 EB024071/EB/NIBIB NIH HHS/United States
PT  - Journal Article
DEP - 20190314
PL  - United States
TA  - J Med Imaging (Bellingham)
JT  - Journal of medical imaging (Bellingham, Wash.)
JID - 101643461
PMC - PMC6416528
OTO - NOTNLM
OT  - dual-energy computed tomography
OT  - material decomposition
OT  - multienergy computed tomography
OT  - photon-counting-detector computed tomography
OT  - prior information
OT  - volume conservation
EDAT- 2019/03/21 06:00
MHDA- 2019/03/21 06:01
PMCR- 2020/03/14
CRDT- 2019/03/21 06:00
PHST- 2018/09/11 00:00 [received]
PHST- 2019/02/12 00:00 [accepted]
PHST- 2019/03/21 06:00 [entrez]
PHST- 2019/03/21 06:00 [pubmed]
PHST- 2019/03/21 06:01 [medline]
PHST- 2020/03/14 00:00 [pmc-release]
AID - 18200RR [pii]
AID - 10.1117/1.JMI.6.1.013503 [doi]
PST - ppublish
SO  - J Med Imaging (Bellingham). 2019 Jan;6(1):013503. doi: 10.1117/1.JMI.6.1.013503. 
      Epub 2019 Mar 14.