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1

Tsujioka, Katsumi, Hirofumi Anno, Kazuhiro Katada, Yoshihiro Ida, and Takeshi Sawada. "188. Basic Study of Subtraction Helical Scan with Fast CT : Sequential Subtraction Helical Scan." Japanese Journal of Radiological Technology 47, no. 8 (1991): 1221. http://dx.doi.org/10.6009/jjrt.kj00003323930.

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2

Lingaiah, Ramaa, Md Abbas Ali, Ummay Kulsum, Muhtasim Aziz Muneem, Karthick Raj Mani, Sharif Ahmed, Md Shakilur Rahman, and M. Salahuddin. "GTV volume estimation using different mode of computer tomography for lung tumors in stereotactic body radiation therapy." Polish Journal of Medical Physics and Engineering 25, no. 1 (March 1, 2019): 29–34. http://dx.doi.org/10.2478/pjmpe-2019-0005.

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Abstract Aim: To estimate the Gross Tumor Volume (GTV) using different modes (axial, helical, slow, KV-CBCT & 4D-CT) of computed tomography (CT) in pulmonary tumors. Materials & Methods: We have retrospectively included ten previously treated case of carcinoma of primary lung or metastatic lung using Stereotactic Body Radiation Therapy (SBRT) in this study. All the patients underwent 4 modes of CT scan Axial, Helical, Slow & 4D-CT using GE discovery 16 Slice PET-CT scanner and daily KV-CBCT for the daily treatment verification. For standardization, all the patients underwent different modes of scan using 2.5 mm slice thickness, 16 detectors rows and field of view of 400mm. Slow CT was performed using axial mode scan by increasing the CT tube rotation time (typically 3 – 4 sec.) as per the breathing period of the patients. 4D-CT scans were performed and the entire respiratory cycle was divided into ten phases. Maximum Intensity Projections (MIP), Minimum Intensity Projections (MinIP) and Average Intensity Projections (AvIP) were derived from the 10 phases. GTV volumes were delineated for all the patients in all the scanning modes (GTVAX - Axial, GTVHL - Helical, GTVSL – Slow, GTVMIP -4DCT and GTVCB – KV-CBCT) in the Eclipse treatment planning system version 11.0 (M/S Varian Medical System, USA). GTV volumes were measured, documented and compared with the different modes of CT scans. Results: The mean ± standard deviation (range) for MIP, slow, axial, helical & CBCT were 36.5 ± 40.5 (2.29 – 87.0), 35.38 ± 39.52 (2.1 – 82), 31.95 ± 37.29 (1.32 – 66.9), 28.98 ± 33.36 (1.01 – 65.9) & 37.16 ± 42.23 (2.29 – 92). Overall underestimation of helical scan and axial scan compared to MIP is 21% and 12.5%. CBCT and slow CT volume has a good correlation with the MIP volume. Conclusion: For SBRT in lung tumors better to avoid axial and helical scan for target delineation. MIP is a still a golden standard for the ITV delineation, but in the absence of 4DCT scanner, Slow CT and KV-CBCT data may be considered for ITV delineation with caution.
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3

Constanta-Fanourakis, P., K. Kaczar, G. Oleynik, D. Petravick, M. Votava, V. White, G. Hockney, S. Bracker, and J. M. de Miranda. "Exabyte helical scan devices at Fermilab." IEEE Transactions on Nuclear Science 36, no. 5 (1989): 1696–700. http://dx.doi.org/10.1109/23.41131.

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4

TSUJIOKA, KATSUMI, YOSHIHIRO IDA, HIRONORI OHTSUBO, YASUKATA TAKAHASHI, and MASAYOSHI NIWA. "Concept and Development of Measurement Method of Time Sensitivity profile (TSP) in X-ray CT : Comparison of Non-helical, Single-slice Helical, and Multi-slice Helical Scans." Japanese Journal of Radiological Technology 56, no. 12 (2000): 1461–69. http://dx.doi.org/10.6009/jjrt.kj00003110936.

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5

Tang, Xiangyang, Jiang Hsieh, Roy A. Nilsen, and Scott M. McOlash. "Extending Three-Dimensional Weighted Cone Beam Filtered Backprojection (CB-FBP) Algorithm for Image Reconstruction in Volumetric CT at Low Helical Pitches." International Journal of Biomedical Imaging 2006 (2006): 1–8. http://dx.doi.org/10.1155/ijbi/2006/45942.

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A three-dimensional (3D) weighted helical cone beam filtered backprojection (CB-FBP) algorithm (namely, original 3D weighted helical CB-FBP algorithm) has already been proposed to reconstruct images from the projection data acquired along a helical trajectory in angular ranges up to[0,2π]. However, an overscan is usually employed in the clinic to reconstruct tomographic images with superior noise characteristics at the most challenging anatomic structures, such as head and spine, extremity imaging, and CT angiography as well. To obtain the most achievable noise characteristics or dose efficiency in a helical overscan, we extended the 3D weighted helical CB-FBP algorithm to handle helical pitches that are smaller than1:1(namely extended 3D weighted helical CB-FBP algorithm). By decomposing a helical over scan with an angular range of[0,2π+Δβ]into a union of full scans corresponding to an angular range of[0,2π], the extended 3D weighted function is a summation of all 3D weighting functions corresponding to each full scan. An experimental evaluation shows that the extended 3D weighted helical CB-FBP algorithm can improve noise characteristics or dose efficiency of the 3D weighted helical CB-FBP algorithm at a helical pitch smaller than1:1, while its reconstruction accuracy and computational efficiency are maintained. It is believed that, such an efficient CB reconstruction algorithm that can provide superior noise characteristics or dose efficiency at low helical pitches may find its extensive applications in CT medical imaging.
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6

Hu, Xiao-Yu, Jun Ouyang, Guo-Chang Liu, Meng-Juan Gao, Lai-Bo Song, Jianfeng Zang, and Wei Chen. "Synthesis and Characterization of the Conducting Polymer Micro-Helix Based on the Spirulina Template." Polymers 10, no. 8 (August 7, 2018): 882. http://dx.doi.org/10.3390/polym10080882.

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As one of the most interesting naturally-occurring geometries, micro-helical structures have attracted attention due to their potential applications in fabricating biomedical and microelectronic devices. Conventional processing techniques for manufacturing micro-helices are likely to be limited in cost and mass-productivity, while Spirulina, which shows natural fine micro-helical forms, can be easily mass-reproduced at an extremely low cost. Furthermore, considering the extensive utility of conducting polymers, it is intriguing to synthesize conducting polymer micro-helices. In this study, PPy (polypyrrole), PANI (polyaniline), and PEDOT (poly(3,4-ethylenedioxythiophene)) micro-helices were fabricated using Spirulinaplatensis as a bio-template. The successful formations of the conducting polymer micro-helix were confirmed using scanning electron microscopy (SEM). Fourier transform infrared spectroscopy (FTIR) and Raman and X-ray diffraction (XRD) were employed to characterize the molecular structures of the conducting polymer in micro-helical forms. In the electrochemical characterization, the optimized specific capacitances for the PPy micro-helix, the PANI micro-helix, and the PEDOT micro-helix were found to be 234 F/g, 238 F/g at the scan rate of 5 mV/s, and 106.4 F/g at the scan rate of 10 mV/s, respectively. Therefore, it could be expected that other conducting polymer micro-helices with Spirulina as a bio-template could be also easily synthesized for various applications.
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7

NAKANISHI, Akihito, Yasunobu NAKO, Miho KOHDA, Eichi INOUE, Hiroshi TAKEUCHI, Naomoto MATSUMOTO, Kuninori KOBAYASHI, and Hiromi ITOH. "36. Usefulness of Helical scan in larynx." Japanese Journal of Radiological Technology 50, no. 2 (1994): 155. http://dx.doi.org/10.6009/jjrt.kj00003534518.

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8

Osaki, Hiroyuki, and Tetsuo Endo. "Tribology of helical scan tape drive systems." Tribology International 38, no. 6-7 (June 2005): 616–24. http://dx.doi.org/10.1016/j.triboint.2005.01.010.

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9

Hoshino, Susumu, Masashi Ohtani, Masayuki Sekiguchi, Katsuhiro Hanmura, Kyouji Higashimura, Kouzou Hanai, Takashi Tanaka, and Mitsuhiro Anan. "182. Performance evaluation of helical scan CT." Japanese Journal of Radiological Technology 47, no. 8 (1991): 1215. http://dx.doi.org/10.6009/jjrt.kj00003323924.

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10

Ozue, T., T. Shirai, Y. Kamatani, H. Kano, Y. Ikeda, S. Onodera, and T. Kawana. "Magnetoresistive heads for helical-scan tape systems." IEEE Transactions on Magnetics 35, no. 2 (March 1999): 729–33. http://dx.doi.org/10.1109/20.750636.

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11

Yeh, N. H., R. Niedermeyer, and C. R. Olson. "Nonlinear distortion in helical-scan tape recorders." IEEE Transactions on Magnetics 28, no. 5 (September 1992): 2707–9. http://dx.doi.org/10.1109/20.179603.

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12

Wakabayashi, Katsuyuki, Yoshihiro Kouda, Akira Onoda, Masamichi Makishima, Junko Fukuda, Masahiro Nakayama, Nobuhito Katayama, and Kiyoshi Mori. "429. Usefulness of Helical Scan in abdomen." Japanese Journal of Radiological Technology 48, no. 8 (1992): 1512. http://dx.doi.org/10.6009/jjrt.kj00003500825.

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13

Kubota, K., T. Horiuchi, M. Terada, N. Kawauchi, K. Shimada, K. Takeda, Y. Takase, and T. Koyama. "Advantage of Helical Scan for Posterior Fossa." Japanese Journal of Radiological Technology 52, no. 9 (1996): 1066. http://dx.doi.org/10.6009/jjrt.kj00001354808.

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14

Hu, Hui. "Multi-slice helical CT: Scan and reconstruction." Medical Physics 26, no. 1 (January 1999): 5–18. http://dx.doi.org/10.1118/1.598470.

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15

Kaaden, J., and J. B. Albertini. "Thin-film heads for helical scan recording." IEEE Transactions on Consumer Electronics 43, no. 3 (1997): 366–69. http://dx.doi.org/10.1109/30.628640.

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16

Yang, Chengwen, Ransheng Liu, Xin Ming, Ningbo Liu, Yong Guan, and Yuanming Feng. "Thoracic Organ Doses and Cancer Risk from Low Pitch Helical 4-Dimensional Computed Tomography Scans." BioMed Research International 2018 (September 24, 2018): 1–6. http://dx.doi.org/10.1155/2018/8927290.

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Purpose. To investigate the dose depositions to organs at risk (OARs) and associated cancer risk in cancer patients scanned with 4-dimensional computed tomography (4DCT) as compared with conventional 3DCT. Methods and Materials. The radiotherapy treatment planning CT image and structure sets of 102 patients were converted to CT phantoms. The effective diameters of those patients were computed. Thoracic scan protocols in 4DCT and 3DCT were simulated and verified with a validated Monte Carlo code. The doses to OARs (heart, lungs, esophagus, trachea, spinal cord, and skin) were calculated and their correlations with patient effective diameter were investigated. The associated cancer risk was calculated using the published models in BEIR VII reports. Results. The average of mean dose to thoracic organs was in the range of 7.82-11.84 cGy per 4DCT scan and 0.64-0.85 cGy per 3DCT scan. The average dose delivered per 4DCT scan was 12.8-fold higher than that of 3DCT scan. The organ dose was linearly decreased as the function of patients’ effective diameter. The ranges of intercept and slope of the linear function were 17.17-30.95 and -0.0278--0.0576 among patients’ 4DCT scans, and 1.63-2.43 and -0.003--0.0045 among patients’ 3DCT scans. Relative risk of cancer increased (with a ratio of 15.68:1) resulting from 4DCT scans as compared to 3DCT scans. Conclusions. As compared to 3DCT, 4DCT scans deliver more organ doses, especially for pediatric patients. Substantial increase in lung cancer risk is associated with higher radiation dose from 4DCT and smaller patients’ size as well as younger age.
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17

Ninomiya, Shinichi, Manabu Iwai, Kazuyoshi Takano, Tokiteru Ueda, and Kiyoshi Suzuki. "Application of 3D-CAD Random Model to Prediction of Ground Surfaces by Helical Scan Grinding." Key Engineering Materials 516 (June 2012): 142–47. http://dx.doi.org/10.4028/www.scientific.net/kem.516.142.

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This paper deals with prediction of improvement in surface roughness in helical scan grinding by simulation of virtual ground surface with a 3D-CAD model. It has been found that, by choosing the value of parameters of several grit conditions such as grit arrangement, protrusion height, inclination angle and so on, randomly for a real wheel, the maximum unevenness of the virtual ground surface and tendency of its change with feed angle nearly coincide with the surface roughness in the experiment of helical scan grinding. It is found that this simulation method is effective for the prediction of a surface ground by helical scan grinding.
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18

Platte, H. J., H. W. Keesen, and D. Uhde. "Matrix scan recording, a new alternative to helical scan recording on videotape." IEEE Transactions on Consumer Electronics 34, no. 3 (1988): 606–11. http://dx.doi.org/10.1109/30.20160.

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19

Iwai, Manabu, Yoichi Shiraishi, Shinichi Ninomiya, Tetsutaro Uematsu, and Kiyoshi Suzuki. "Prediction of Surface Roughness by 3D-CAD Model in Helical Scan Grinding and Groove Grinding." Advanced Materials Research 76-78 (June 2009): 101–6. http://dx.doi.org/10.4028/www.scientific.net/amr.76-78.101.

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This paper deals with prediction of improvement in surface roughness in helical scan grinding by simulation of virtual ground surface with a 3D-CAD model. It has been found that, by choosing the value of parameters of four grit conditions such as grit arrangement, protrusion height, apex angle and inclination angle randomly to a real wheel, the maximum unevenness of the virtual ground surface and tendency of its change with feed angle nearly coincide with the surface roughness in the experiment of helical scan grinding. Furthermore, it is demonstrated that this analyzing method can be applied to R-shaped groove grinding and suggested that helical scan grinding is effective in grinding bearing grooves.
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20

Tsujioka, Katsumi, Hirofumi Anno, Kazuhiro Katada, Yoshihiro Ida, Akihito Yamamoto, Yasukuni Hibino, Shinji Sato, Yoshiki Tamamura, and Takeshi Sawada. "322. Basic Examination of Helical Scan with Fast CT : (No-9) : Study of Slice Appraisal Method in Helical Scan." Japanese Journal of Radiological Technology 49, no. 8 (1993): 1346. http://dx.doi.org/10.6009/jjrt.kj00003324909.

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21

Iwai, Manabu, Tetsutaro Uematsu, Li Lin, Anurag Sharma, and Kiyoshi Suzuki. "A Study on the Helical Scan Groove Grinding." Key Engineering Materials 257-258 (February 2004): 501–4. http://dx.doi.org/10.4028/www.scientific.net/kem.257-258.501.

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22

Zhang, Bo. "Helical scan grinding of brittle and ductile materials." Journal of Materials Processing Technology 91, no. 1-3 (June 1999): 196–205. http://dx.doi.org/10.1016/s0924-0136(98)00420-8.

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23

Prabhakaran, Vijay, Soo Kyung Kim, and Frank E. Talke. "Tribology of the helical scan head tape interface." Wear 215, no. 1-2 (March 1998): 91–97. http://dx.doi.org/10.1016/s0043-1648(97)00274-3.

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24

Torbati, Sam S., and Theodore C. Chan. "Classic helical CT scan findings of acute appendicitis." Journal of Emergency Medicine 18, no. 1 (January 2000): 101. http://dx.doi.org/10.1016/s0736-4679(99)00181-x.

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25

Yao, Rutao, Xiao Deng, Qingyang Wei, Tiantian Dai, Tianyu Ma, and Roger Lecomte. "Multipinhole SPECT helical scan parameters and imaging volume." Medical Physics 42, no. 11 (October 22, 2015): 6599–609. http://dx.doi.org/10.1118/1.4933421.

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26

Chintapalli, Kedar N. "Basic Principles and Clinical Applications of Helical Scan." Radiology 193, no. 1 (October 1994): 48. http://dx.doi.org/10.1148/radiology.193.1.48.

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27

Miyoshi, Fumihiko, Tadashi Tachibana, Syuji Masutani, and Katsutoshi Tomozawa. "Evaluation of Helical Scan Technique for Lung Nodule." Japanese Journal of Radiological Technology 52, no. 10 (1996): 1335. http://dx.doi.org/10.6009/jjrt.kj00001353796.

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28

Hirano, Yuushi, Masashi Sakai, Tohru Hirano, Souji Miyashita, and Shinichi Kakimoto. "Examination of 3-Dimensional artifact on helical scan." Japanese Journal of Radiological Technology 52, no. 10 (1996): 1392. http://dx.doi.org/10.6009/jjrt.kj00001353853.

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29

Tsujioka, Katsumi, Hirofumi Anno, Kazuhiro Katada, Yoshihiro Ida, and Takeshi Sawada. "128. Usefullness of Volume Study using Helical Scan : Comparison with Conventional Method Scan." Japanese Journal of Radiological Technology 48, no. 2 (1992): 253. http://dx.doi.org/10.6009/jjrt.kj00003533313.

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30

Yamaguchi, Isao, Takeshi Miyashita, Kazuhiko Syouga, Shinji Hashimura, and Masayuki Kudo. "Usefulness of High pitch Helical scan technique with Subsecond scan time in Hepatic tumor." Japanese Journal of Radiological Technology 54, no. 1 (1998): 136. http://dx.doi.org/10.6009/jjrt.kj00001351806.

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31

Suzuki, Kiyoshi, Yoichi Shiraishi, Shinichi Ninomiya, Manabu Iwai, and Tetsutaro Uematsu. "Geometrical Simulation of Surface Finish Improvement in Helical Scan Grinding Method by Means of 3D-CAD Model." Key Engineering Materials 389-390 (September 2008): 126–31. http://dx.doi.org/10.4028/www.scientific.net/kem.389-390.126.

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Estimation of mechanism of surface finish improvement in helical scan grinding, a method in which a good surface finish is obtained besides keeping a high grinding efficiency, is performed based on the virtual grinding trace using a 3D-CAD model. In three grit models, (a) a single grit on a wheel, (b) plural grits arrangement on a helical line on the wheel circumference, and (c) multiple grit arrangement in a triangular pattern, virtual grinding traces and their unevenness or surface roughness are investigated. The virtual grinding trace in helical scan grinding is made by interference of grit trajectories, and the results of the analysis are very similar to experimental results.
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32

Takeda, Y., M. Takase, N. Kawauchi, K. Shimada, T. Koyama, M. Terada, S. Azemoto, and K. Kubota. "Evaluation of Clinical Imaging with 0.8 second Helical Scan CT." Japanese Journal of Radiological Technology 52, no. 9 (1996): 1059. http://dx.doi.org/10.6009/jjrt.kj00001354801.

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33

Pan, Xiaochuan, Yu Zou, Dan Xia, and Emil Y. Sidky. "Reconstruction of 3D Regions-of-Interest from Data in Reduced Helical Cone-beam Scans." Technology in Cancer Research & Treatment 4, no. 2 (April 2005): 143–50. http://dx.doi.org/10.1177/153303460500400203.

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The suffciency conditions are derived for exact image reconstruction of a 3D ROI from projections acquired with a reduced helical scan over an angular range considerably smaller than that required by image reconstruction in, e.g., the conventional long object problem, for which the scanned angular range is often more than 2π. ROI reconstruction is investigated by a recently developed filtered-backprojection algorithm that can make use of data acquired with a reduced helical scan. Preliminary numerical studies demonstrate and validate the ROI reconstruction. This work may have significant practical implications because a reduced scan in CT often translates to reduced motion artifacts and reduced radiation dose delivered to the subject.
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34

Rogalev, Andrei, Vincent Gotte, Jose´ Goulon, Christophe Gauthier, Joel Chavanne, and Pascal Elleaume. "XAFS and X-MCD spectroscopies with undulator gap scan." Journal of Synchrotron Radiation 5, no. 3 (May 1, 1998): 989–91. http://dx.doi.org/10.1107/s0909049597014702.

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The first experimental applications of the undulator gap-scan technique in X-ray absorption spectroscopy are reported. The key advantage of this method is that during EXAFS scans the undulator is permanently tuned to the maximum of its emission peak in order to maximize the photon statistics. In X-MCD or spin-polarized EXAFS studies with a helical undulator of the Helios type, the polarization rate can also be kept almost constant over a wide energy range.
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35

Yamauchi-Kawaura, C., K. Fujii, M. Yamauchi, K. Imai, M. Ikeda, K. Narai, and H. Shimizu. "DEVELOPMENT OF A JAPANESE INFANT HEAD–CHEST PHANTOM AND INVESTIGATION OF THE CURRENT STATUS OF INFANT HEAD CT EXAMINATIONS IN JAPAN." Radiation Protection Dosimetry 188, no. 1 (December 13, 2019): 65–72. http://dx.doi.org/10.1093/rpd/ncz261.

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Abstract The aim of this study was to develop a head–chest phantom that could mimic the physique of a Japanese 0.5-year-old child and to investigate the current status of exposure dose in infant head computed tomography examinations in Japan. The phantom was produced by machine processing, and radiophotoluminescence glass dosemeters were installed in the phantom for dose measurement. Organ doses were measured for seven different head scan protocols routinely used in three hospitals. In this study, the average dose of the brain and lens within the scan region was equivalent to that measured using infant phantoms in previous studies. In contrast, the doses of both salivary glands and thyroid glands adjacent to the scan region were 1.4–1.8 times higher than those in previous studies. Expansion of the scan area accompanied by a transition of the scan mode from non-helical to helical may have resulted in the differences in organ doses.
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36

Ida, Yoshihiro, Takeshi Sawada, Katsumi Tsujioka, Hirofumi Anno, and Kazuhiro Katada. "90. Basic Examination of Helical Scan with Fast CT." Japanese Journal of Radiological Technology 46, no. 8 (1990): 1064. http://dx.doi.org/10.6009/jjrt.kj00003322215.

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37

OHTANI, MASASHI, SUSUMU HOSHINO, MASAYUKI SEKIGUCHI, MASAHARU HANMURA, KYOUJI HIGASHIMURA, KOUZOU HANAI, TAKASHI TANAKA, and MITSUHIRO ANAN. "34. An applicatin of helical scan to chest CT." Japanese Journal of Radiological Technology 47, no. 2 (1991): 145. http://dx.doi.org/10.6009/jjrt.kj00003322820.

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38

Nakabayashi, T., H. Isobe, M. Harada, T. Ishioka, T. Arisue, T. Sida, and Y. Araya. "Screening trial for lung cancer by helical CT scan." Lung Cancer 21 (September 1998): S42. http://dx.doi.org/10.1016/s0169-5002(98)90094-0.

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39

TANAKA, TAKASHI, SUSUMU HOSHINO, MASAYUKI SEKIGUCHI, MASAHARU HANMURA, KYOUJI HIGASHIMURA, MASASHI OHTANI, KOUZOU HANAI, and MITSUHIRO ANAN. "187. An application of helical scan to abdomen CT." Japanese Journal of Radiological Technology 47, no. 8 (1991): 1220. http://dx.doi.org/10.6009/jjrt.kj00003323929.

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40

Baba, Hitoshi, Satoshi Hirowatari, Hiroyuki Nishimura, Kazuhisa Ogawa, and Shinzoh Takagi. "320. Slicethickness measurment of Helical scan with airgap method." Japanese Journal of Radiological Technology 49, no. 8 (1993): 1344. http://dx.doi.org/10.6009/jjrt.kj00003324907.

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41

Fujimoto, Keiji, Kouki Kurita, Norio Nishii, and Mitsuo Fujita. "93. Optimization of 3D-CT Cholangiography Using Helical scan." Japanese Journal of Radiological Technology 50, no. 8 (1994): 1012. http://dx.doi.org/10.6009/jjrt.kj00003325896.

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42

Watanabe, Hiroyuki, Syunichi Ogawa, Toshiyuki Uekawa, Tadamasa Yasunaga, and Masanori Matsumoto. "440. Evaluation of 3D images using helical CT scan." Japanese Journal of Radiological Technology 50, no. 8 (1994): 1355. http://dx.doi.org/10.6009/jjrt.kj00003326239.

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43

Nastasa, C., and J. L. Sullivan. "Transfer film formation on helical scan data recording heads." Tribology International 36, no. 4-6 (April 2003): 247–54. http://dx.doi.org/10.1016/s0301-679x(02)00194-9.

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44

Matsumoto, Masato, Naoki Sato, Masayuki Nakano, Youichi Watanabe, and Namio Kodama. "Helical CT scan for emergent patients with cerebrovascular diseases." Nosotchu 17, no. 4 (1995): 348–55. http://dx.doi.org/10.3995/jstroke.17.348.

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45

YUSA, T., T. KATAKURA, K. SUZUKI, S. SEINO, K. MURAKAMI, K. SATOH, and R. ITOH. "A study of exposure Dose with Helical Scan CT." Japanese Journal of Radiological Technology 52, no. 2 (1996): 125. http://dx.doi.org/10.6009/jjrt.kj00001354046.

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46

Imamura, Hirotuka, Satoru Kamiya, and Katumi Tujioka. "Evaluation to decrease motion artifact in Helical scan imaging." Japanese Journal of Radiological Technology 52, no. 10 (1996): 1320. http://dx.doi.org/10.6009/jjrt.kj00001353781.

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47

Muftu, S., and R. C. Benson. "Numerical simulation of tape dynamics in helical-scan recording." IEEE Transactions on Magnetics 29, no. 6 (November 1993): 3927–29. http://dx.doi.org/10.1109/20.281345.

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48

Hayakawa, Mamoru, Shu Ikeda, Kunihiro Yoshida, and Fumio Kawamata. "484 Study of usefulness for Segment Scan in Helical CT." Japanese Journal of Radiological Technology 53, no. 8 (1997): 1353. http://dx.doi.org/10.6009/jjrt.kj00001356325.

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49

MATSUMOTO, Masato, Naoki SATOH, Touru KOBAYASHI, Namio KODAMA, Masayuki NAKANO, Youichi WATANABE, and Masayuki FUJII. "Helical CT for Emergency Patients with Cerebrovascular Diseases." Surgery for Cerebral Stroke 24, no. 3 (1996): 177–85. http://dx.doi.org/10.2335/scs1987.24.3_177.

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50

Scaife, Jessica Elizabeth, Karl Harrison, Amelia Drew, Xiaohao Cai, Juheon Lee, Carola-Bibiane Schonlieb, Michael Sutcliffe, et al. "Accuracy of manual and automated rectal contours using helical tomotherapy image guidance scans during prostate radiotherapy." Journal of Clinical Oncology 33, no. 7_suppl (March 1, 2015): 94. http://dx.doi.org/10.1200/jco.2015.33.7_suppl.94.

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Abstract:
94 Background: Prostate radiotherapy can be delivered using daily image-guided helical tomotherapy. Previous work has shown that contouring the rectum on the kV planning CT scan has a Jaccard conformity index (JCI) of 0.78 for different oncologists (inter-observer variability) and 0.82 for a single oncologist (intra-observer variability) (Lutgendorf-Caucig C et al. Feasibility of CBCT-based target and normal structure delineation in prostate cancer radiotherapy: multi-observer and image multi-modality study. Radiother Oncol. 2011;98(2):154-61.). Using the daily image guidance MV CT scan we have developed automated methods to contour the rectum in order to investigate the dose delivered over a course of treatment. We sought to quantify the accuracy of MV manual and automated contours. Methods: A single oncologist (JES) contoured the rectum on 370 MV scans for 10 participants treated with helical tomotherapy to prostate and pelvic lymph nodes. Accuracy of MV manual contours was tested using a scalar algorithm to enlarge and reduce the contours and intra-observer re-contouring at a 3-month interval. Automated contouring, incorporating the Chan-Vese algorithm, was developed and outputs were compared with manual contours. Results: JES could identify differences in MV manual contour size at the level of ±2.2 mm, equivalent to 1.7 pixels. The median JCI for MV re-contouring was 0.87 with inter-quartile range (IQR) 0.78 to 0.90. When compared with manual contours, automated outputs had a median JCI of 0.79 (IQR 0.74 to 0.79). These results were obtained after 3 iterations, each taking less than 10 seconds. Conclusions: Manual contouring using MV scans was accurate, at a level of approximately 2 mm, and reproducible, with JCI of 0.87. The time taken to contour was approximately 20 minutes per scan. Automated contouring was also reproducible with JCI of 0.79 and, in contrast, took less than a minute per scan. Both manual and automated methods produced results comparable to those for contouring using kV scans. We plan to use auto-contouring to calculate accumulated dose to the rectum in an initial cohort of 100 participants. These doses will be correlated with toxicity as part of the VoxTox Study.
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