Affiliations: [a]
Department of Radiological Technology, School of Health Sciences, Niigata University, Asahimachi-dori, Chuo-ku, Niigata, Niigata, Japan
| [b]
Department of Medical Radiological Technology, School of Health Sciences, Fukushima Medical University, Sakae-machi, Fukushima, Fukushima, Japan
| [c]
Department of Radiology and Nuclear Medicine, Research Institute for Brain and Blood Vessels-Akita, Senshu-kubota-machi, Akita, Japan
Correspondence:
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Corresponding author: Mitsuru Sato, Department of Radiological Technology, School of Health Sciences, Niigata University, 2-746 Asahimachi-dori, Chuo-ku, Niigata, Niigata, 951-8518, Japan. Tel.: +81 90 6136 3412; E-mail: [email protected].
Abstract: BACKGROUND:Head computed tomography (CT) is a commonly used imaging modality in radiology facilities. Since multiplanar reconstruction (MPR) processing can produce different results depending on the medical staff in charge, there is a possibility that the antemortem and postmortem images of the same person could be assessed and identified differently. OBJECTIVE:To propose and test a new automatic MPR method in order to address and overcome this limitation. METHODS:Head CT images of 108 cases are used. We employ the standardized transformation of statistical parametric mapping 8. The affine transformation parameters are obtained by standardizing the captured CT images. Automatic MPR processing is performed by using this parameter. The sphenoidal sinus of the orbitomeatal cross section of the automatic MPR processing of this study and the conventional manual MPR processing are cropped with a matrix size of 128×128, and the value of zero mean normalized correlation coefficient is calculated. RESULTS:The computed zero mean normalized cross-correlation coefficient (Rzncc) of≥0.9, 0.8≤Rzncc < 0.9 and 0.7≤Rzncc < 0.8 are achieved in 105 cases (97.2%), 2 cases (1.9%), and 1 case (0.9%), respectively. The average Rzncc was 0.96±0.03. CONCLUSION:Using the proposed new method in this study, MPR processing with guaranteed accuracy is efficiently achieved.
Keywords: Automatic multi planar reconstruction, radiological identification, head computed tomography, forensic radiology, orbitomeatal base line, brain template.
