Purpose: In synthetic q-space learning (synQSL), which uses deep learning to infer the diffusional kurtosis (K), a bias that depends on the noise level added to the synthetic training data occurs. The purpose of this study was to evaluate K inference using synQSL and bias correction. Methods: Using the synthetic test data and the real image data, K was inferred by synQSL, and bias correction was performed. Then, those results were compared with K inferred by fitting by the least-squares fitting (LSF) method. At this time, the noise level of the training data was set to 3 types, the noise level of the synthesis test data was set to 5 types, and the number of excitation (NEX) of the real image data was set to 4 types. Robustness of inference was evaluated by the outlier rate, which is the ratio of K outliers to the whole brain. We also evaluated the root mean square error (RMSE) of the inferred K. Results: The outlier rate inferred by synQSL without correction was significantly lower in the test data of each noise level than that by the LSF method and was further reduced by correction. In addition, the RMSE of NEX 1 with NEX 4 as the correct answer based on the real image data had the smallest correction result of K by synQSL. Conclusion: Inferring K using synQSL and bias correction is a robust and small error method compared to that using the LSF method.

Purpose: This study investigated the effectiveness of assistive work of radiological technologists (RTs) in conducting computed tomography (CT)/magnetic resonance imaging (MRI) during emergencies. Methods: In total, 2681 examinations in 2294 patients who underwent CT or MRI during our after-hours clinic hours were conducted. The emergency of the diseases was classified into three categories: emergency diseases, semi-emergency diseases, and non-emergency diseases. The reading report of the RTs group, resident physicians (RPs) group, and senior physicians (SPs) group were used to calculate the sensitivity, specificity, and accuracy. Results: The RTs group had an accuracy of 87.0% for emergency and semi-emergency diseases. The sensitivity of the combined RTs/RPs/SPs group was higher than that of the RPs and SPs group alone. Conclusion: After-hours help from RTs for emergency and semi-emergency diseases enhanced sensitivity and thus demonstrated the effectiveness in emergency care.

Purpose: To evaluate the accuracy of a bone coordinate system constructed using MR image composing. Method: A femoral coordinate system constructed using image composing of MR images of a whole bovine femur was evaluated using CT images. The MR images were acquired by moving the table and were processed with 3D distortion correction and composing. To evaluate the reproducibility of the measurements, the same operator repeated the construction of the femoral coordinate system. In addition, distortions in the MR images were evaluated in comparison with those in the CT images. Result: The center position of the femoral coordinate system constructed using the MR image composing was 1.6±0.9 mm on the X-axis, 1.5±0.8 mm on the Y-axis, and 0.2±0.3 mm on the Z-axis, and the rotation of each axis was 1° or less. The distortion of the composed MR image was about 0.3%. Conclusion: The femoral coordinate system constructed using MR image composing had the same accuracy as a system constructed with CT images. The effect of MR image composing on the construction of the femoral coordinate system was small.

We published a report entitled “Creation of a stereo-paired bone anatomical chart using human bone specimen for radiation education” in this journal in order to accurately understand the surface structure and three-dimensional structure of bones, and assist in bone image interpretation. However, some people cannot see stereoscopically with the naked eye. Therefore, we created anaglyph three-dimensional (3D) images from stereo-paired images of the stereo X-ray anatomical chart of the bone specimen. The anaglyph of the bone surface and X-ray images facilitates stereoscopic viewing with red-blue 3D glasses. The stereo X-ray anatomical chart of the bone specimen with anaglyph 3D images was converted into an electronic data file in the same manner as the stereo X-ray anatomical chart of the bone specimen, which can be easily used in any radiological examination rooms or at home through an electronic medium. We made it possible to perform correlative stereoscopic observations of the bone surface and X-ray images using red-blue 3D glasses.

Senior radiological technologists have made various improvements and have supported the clinical and educational fields by explaining bone X-ray radiography to students and junior radiological technologists to understand the procedure using illustrations, X-ray images, and photographs in a way that corresponds to the design software available for that era. Because human bone specimens are only available in the anatomy laboratory of medical schools, they could not be used for the explanation of bone X-ray radiography until now. Therefore, we have developed a bone X-ray radiography manual using bone specimens for the bone X-ray radiography education, which helps students to understand the procedure of bone X-ray radiography. Previous bone X-ray radiography manuals had not been illustrated by bone specimens and bone specimen X-ray images, but this bone X-ray radiography manual using bone specimens has made it possible to understand the surface morphology of bone specimens and X-ray images of them. In addition, the data of bone X-ray radiography using this bone specimen were made into an electronic file, which can be easily used at the place of radiological examination or at home through electronic media.

Purpose: In radiotherapy, deformable image registration (DIR) has been frequently used in different imaging examinations in recent years. However, no phantom has been established for quality assurance for DIR. In order to develop a non-rigid phantom for accuracy control between CT and MRI images, we investigated the suitability of 3D printing materials and gel materials in this study. Methods: We measured CT values, T₁ values, T₂ values, and the proton densities of 31 3D printer materials—purchased from three manufacturers—and one gel material. The dice coefficient after DIR was calculated for the CT-MRI images using a prototype phantom made of a gel material compatible with CT-MRI. Results: The CT number of the 3D printing materials ranged from −6.8 to 146.4 HU. On MRI, T₁ values were not measurable in most cases, whereas T₂ values were not measurable in all cases; proton density (PD) ranged from 2.51% to 4.9%. The gel material had a CT number of 111.16 HU, T₁ value of 813.65 ms, and T₂ value of 27.19 ms. The prototype phantom was flexible, and the usefulness of DIR with CT and MRI images was demonstrated using this phantom. Conclusion: The CT number and T₁ and T₂ values of the gel material are close to those of the human body and may therefore be developed as a DIR verification phantom between CT and MRI. These findings may contribute to the development of non-rigid phantoms for DIR in the future.