TY - JOUR
T1 - A new image quality measure in CT
T2 - feasibility of a contrast-detail measurement method
AU - DAVIDSON, Rob
AU - Alsleem, Haney
AU - Floor, M.
AU - van der Burght, R.
PY - 2016
Y1 - 2016
N2 - Purpose To develop a new method of evaluating image quality in computed tomography (CT) using an objective measure of low contrast-detail (LCD). Method To achieve this aim a new LCD-CT (CDCT) phantom needed to be designed and developed. A CT inverse image quality figure (CT-IQFinv) value, based on the planar radiography LCD method, was also devised. Validation of the CDCT phantom design and CT-IQFinv calculations were undertaken using 67 observers and software methods. The CDCT phantom was scanned on three multi-detector CT systems using variable factors of kVp, mAs and slice thickness. Results The results were compared to an a priori knowledge that image quality improves with increased photons reaching the detectors. Observer CT-IQFinv scores for the phantom's peripheral region were consistent with the a priori knowledge and generally consistent in the inner region, with one exception. The software CT-IQFinv scores for the phantom's peripheral region were also consistent with the a priori knowledge, however there were some inconsistencies. Software and observer CT-IQFinv score differed significantly (p < 0.05) however both were consistent with the a priori knowledge. Conclusions The work reported is designed as proof of concept of development of LCD measure in CT. CT-IQFinv can be used as a measure of LCD image quality in CT when evaluating CT parameter of mAs, kVp and slice thickness. The results demonstrate potential for use of CT IQFinv, however at present further work is needed to overcome design and technical issue encountered in this project.
AB - Purpose To develop a new method of evaluating image quality in computed tomography (CT) using an objective measure of low contrast-detail (LCD). Method To achieve this aim a new LCD-CT (CDCT) phantom needed to be designed and developed. A CT inverse image quality figure (CT-IQFinv) value, based on the planar radiography LCD method, was also devised. Validation of the CDCT phantom design and CT-IQFinv calculations were undertaken using 67 observers and software methods. The CDCT phantom was scanned on three multi-detector CT systems using variable factors of kVp, mAs and slice thickness. Results The results were compared to an a priori knowledge that image quality improves with increased photons reaching the detectors. Observer CT-IQFinv scores for the phantom's peripheral region were consistent with the a priori knowledge and generally consistent in the inner region, with one exception. The software CT-IQFinv scores for the phantom's peripheral region were also consistent with the a priori knowledge, however there were some inconsistencies. Software and observer CT-IQFinv score differed significantly (p < 0.05) however both were consistent with the a priori knowledge. Conclusions The work reported is designed as proof of concept of development of LCD measure in CT. CT-IQFinv can be used as a measure of LCD image quality in CT when evaluating CT parameter of mAs, kVp and slice thickness. The results demonstrate potential for use of CT IQFinv, however at present further work is needed to overcome design and technical issue encountered in this project.
KW - Computed tomography
KW - CT-IQFinv
KW - Image quality
KW - Low contrast detail
UR - http://www.scopus.com/inward/record.url?scp=84964849285&partnerID=8YFLogxK
UR - http://www.mendeley.com/research/new-image-quality-measure-ct-feasibility-contrastdetail-measurement-method
U2 - 10.1016/j.radi.2016.04.003
DO - 10.1016/j.radi.2016.04.003
M3 - Article
SN - 1078-8174
VL - 22
SP - 274
EP - 281
JO - Radiography
JF - Radiography
IS - 4
ER -