Nihon Hoshasen Gijutsu Gakkai zasshi最新文献

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[Basic MRI Study in the Imaging Direction of a Diffusion-weighted Whole Body Imaging with Background Body Signal Suppression]. [带背景体信号抑制的弥散加权全身成像方向的基础磁共振成像研究]。
Nihon Hoshasen Gijutsu Gakkai zasshi Pub Date : 2024-07-20 Epub Date: 2024-06-12 DOI: 10.6009/jjrt.2024-1449
Shota Katsumata, Toshiyuki Takahashi, Shuko Nishimura, Tetsuichi Hondera, Mitsuyoshi Yasuda, Kyoichi Kato
{"title":"[Basic MRI Study in the Imaging Direction of a Diffusion-weighted Whole Body Imaging with Background Body Signal Suppression].","authors":"Shota Katsumata, Toshiyuki Takahashi, Shuko Nishimura, Tetsuichi Hondera, Mitsuyoshi Yasuda, Kyoichi Kato","doi":"10.6009/jjrt.2024-1449","DOIUrl":"10.6009/jjrt.2024-1449","url":null,"abstract":"<p><p>A diffusion-weighted whole body imaging with background body signal suppression (DWIBS) is usually imaged as a whole body with Transverse (Tra). However, Tra has a large number of stations and a larger number than Coronal (Cor), so the scan time is longer. There are also drawbacks, such as signal unevenness between series. It is known that the effect of distortion is large in Cor. There is no report on it in Sagittal (Sag). Therefore, in this study, we focused on Sag and examined the imaging time, image distortion, fat suppression effect, and continuity between stations. In the examination by the phantom, the scan time was the shortest for Cor and the longest for Sag. In the strain evaluation, the effect of strain could be suppressed compared to Cor by using a rectangle field of view (FOV) in the anterior to posterior (AP) direction in Tra and Sag. There was no difference in the fat suppression effect depending on the imaging direction. Similar results were obtained in a study of 10 healthy volunteers, with Sag having the best continuity between stations.</p>","PeriodicalId":74309,"journal":{"name":"Nihon Hoshasen Gijutsu Gakkai zasshi","volume":" ","pages":"741-749"},"PeriodicalIF":0.0,"publicationDate":"2024-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141312455","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
[Comparison of Bladder Volume Measurement Accuracy between Portable Ultrasound Diagnostic Equipment and CBCT for Pelvic Prostate Radiotherapy]. [便携式超声诊断设备与 CBCT 在盆腔前列腺放射治疗中的膀胱容积测量精度比较]。
Nihon Hoshasen Gijutsu Gakkai zasshi Pub Date : 2024-07-20 Epub Date: 2024-06-26 DOI: 10.6009/jjrt.2024-1461
Takahiro Saika, Kenji Matsumoto
{"title":"[Comparison of Bladder Volume Measurement Accuracy between Portable Ultrasound Diagnostic Equipment and CBCT for Pelvic Prostate Radiotherapy].","authors":"Takahiro Saika, Kenji Matsumoto","doi":"10.6009/jjrt.2024-1461","DOIUrl":"10.6009/jjrt.2024-1461","url":null,"abstract":"<p><strong>Purpose: </strong>We evaluated the measurement accuracy of the CubeScan BioCon-900 (here after BioCon-900), a portable ultrasound imaging diagnostic device capable of measuring bladder volume, to determine if it can accurately assess bladder volume before intensity-modulated radiation therapy (IMRT) for prostate cancer.</p><p><strong>Methods: </strong>Bladder volume was measured from kV-Cone Beam computed tomography (CBCT) images obtained immediately before the administration of IMRT for prostate cancer using Halcyon. The bladder volume measured from kV-CBCT images (23 patients, total number of scans: 139) immediately before the IMRT procedure was used as the reference value. The difference between the bladder volume measured by the BioCon-900 was then calculated.</p><p><strong>Results: </strong>The bladder volume measured from kV-CBCT images was 117.5±49.4 cc. In contrast, the bladder volume obtained with BioCon-900 was 104.1±48.6 ml, resulting in an absolute mean difference of 18.4% and a correlation coefficient of 0.881. The measurements by BioCon-900 tended to be, on average, 11% smaller than the bladder volume measured by kV-CBCT imaging.</p><p><strong>Conclusion: </strong>kV-CBCT images demonstrated a strong positive correlation between bladder volume and bladder urine output obtained with BioCon-900. BioCon-900 can be used before kV-CBCT imaging to accurately and conveniently assess bladder volume.</p>","PeriodicalId":74309,"journal":{"name":"Nihon Hoshasen Gijutsu Gakkai zasshi","volume":" ","pages":"760-765"},"PeriodicalIF":0.0,"publicationDate":"2024-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141461108","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
[Examination of Optimal Frequency Processing in X-ray Images for Occult Femoral Neck Fractures]. [研究 X 射线图像中隐匿性股骨颈骨折的最佳频率处理]。
Nihon Hoshasen Gijutsu Gakkai zasshi Pub Date : 2024-07-20 Epub Date: 2024-06-07 DOI: 10.6009/jjrt.2024-1447
Makoto Yoshida, Yusuke Saeki, Masahiro Miyai, Hiroki Shirono, Katsuya Kato
{"title":"[Examination of Optimal Frequency Processing in X-ray Images for Occult Femoral Neck Fractures].","authors":"Makoto Yoshida, Yusuke Saeki, Masahiro Miyai, Hiroki Shirono, Katsuya Kato","doi":"10.6009/jjrt.2024-1447","DOIUrl":"10.6009/jjrt.2024-1447","url":null,"abstract":"<p><strong>Purpose: </strong>Osteosclerotic images are known as an image appearance of occult femoral neck fractures in X-ray images. The aim of this study is to investigate frequency enhancement processing that improves the visibility of the osteosclerotic image.</p><p><strong>Methods: </strong>We acquired three sclerotic bone images with different thicknesses, and self-made bone equivalent phantoms were set up on a pelvic phantom. The frequency processing type and high-density enhancement coefficients were applied to the X-ray images taken at RF-A(1.0, 2.0), C(2.0, 4.0), D(1.0), and H(2.0, 4.0). For the physical index, we compared the difference in signal values between the sclerotic and background normal bone. We evaluated the preference using Scheffé's paired comparison methods for the visual index.</p><p><strong>Results: </strong>For the physical index, RF-C(4.0) had the most significant signal value difference for all 3 bone stiffness images. For the visual index, RF-C(4.0) showed the highest preference.</p><p><strong>Conclusion: </strong>Using frequency-enhanced processing, RF-C(4.0) was suggested to improve the visibility of the osteosclerosis image.</p>","PeriodicalId":74309,"journal":{"name":"Nihon Hoshasen Gijutsu Gakkai zasshi","volume":" ","pages":"731-740"},"PeriodicalIF":0.0,"publicationDate":"2024-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141297460","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
[A Study on the Uncertainty of the Average Glandular Dose in Quality Control of Mammographic X-ray Units]. [关于乳腺 X 射线装置质量控制中平均腺体剂量不确定性的研究]。
Nihon Hoshasen Gijutsu Gakkai zasshi Pub Date : 2024-07-20 Epub Date: 2024-05-30 DOI: 10.6009/jjrt.2024-1448
Tomoyo Takizawa, Michiharu Sekimoto, Naoki Kodama
{"title":"[A Study on the Uncertainty of the Average Glandular Dose in Quality Control of Mammographic X-ray Units].","authors":"Tomoyo Takizawa, Michiharu Sekimoto, Naoki Kodama","doi":"10.6009/jjrt.2024-1448","DOIUrl":"10.6009/jjrt.2024-1448","url":null,"abstract":"<p><p>【Purpose】 Accurate control of X-ray units and dosimeters and analysis of the uncertainties associated with the accurate measurement of radiation doses are essential for the effective establishment and application of diagnostic reference levels. In this study, the uncertainty of the average glandular dose (AGD) in the quality control of mammography equipment was evaluated in detail, and recommendations were provided to improve the accuracy and safety of radiological practice. 【Methods】 In the uncertainty analysis of the AGD, the relative standard uncertainties in the measurements of the half-value layer, the incident air kerma, and the conversion factor were considered and finally expressed as expanded uncertainties, the intervals of which were clearly defined. 【Results】 From the AGD measurements using two types of dosimeters, it was found that the primary sources of uncertainty are the uncertainty of the calibration factors of the dosimeters and the uncertainty of the conversion factors.【Conclusion】 To reduce uncertainty, the use of regularly calibrated dosimeters is effective and reliable. Two types of dosimeters are commonly used; the results of this study may serve as a reference value for the uncertainty of AGD in quality control in medical facilities.</p>","PeriodicalId":74309,"journal":{"name":"Nihon Hoshasen Gijutsu Gakkai zasshi","volume":" ","pages":"721-730"},"PeriodicalIF":0.0,"publicationDate":"2024-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141176801","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
[Development of a Deep Learning Model for Judging Late Gadolinium-enhancement in Cardiac MRI]. [开发用于判断心脏 MRI 中晚期钆增强的深度学习模型]。
Nihon Hoshasen Gijutsu Gakkai zasshi Pub Date : 2024-07-20 Epub Date: 2024-06-20 DOI: 10.6009/jjrt.2024-1421
Akihiro Kasahara, Takahiro Iwasaki, Takuya Mizutani, Tsuyoshi Ueyama, Yoshiharu Sekine, Masae Uehara, Satoshi Kodera, Wataru Gonoi, Hideyuki Iwanaga, Osamu Abe
{"title":"[Development of a Deep Learning Model for Judging Late Gadolinium-enhancement in Cardiac MRI].","authors":"Akihiro Kasahara, Takahiro Iwasaki, Takuya Mizutani, Tsuyoshi Ueyama, Yoshiharu Sekine, Masae Uehara, Satoshi Kodera, Wataru Gonoi, Hideyuki Iwanaga, Osamu Abe","doi":"10.6009/jjrt.2024-1421","DOIUrl":"10.6009/jjrt.2024-1421","url":null,"abstract":"<p><strong>Purpose: </strong>To verify the usefulness of a deep learning model for determining the presence or absence of contrast-enhanced myocardium in late gadolinium-enhancement images in cardiac MRI.</p><p><strong>Methods: </strong>We used 174 late gadolinium-enhancement myocardial short-axis images obtained from contrast-enhanced cardiac MRI performed using a 3.0T MRI system at the University of Tokyo Hospital. Of these, 144 images were used for training, extracting a region of interest targeting the heart, scaling signal intensity, and data augmentation were performed to obtain 3312 training images. The interpretation report of two cardiology specialists of our hospital was used as the correct label. A learning model was constructed using a convolutional neural network and applied to 30 test data. In all cases, the acquired mean age was 56.4±12.1 years, and the male-to-female ratio was 1 : 0.82.</p><p><strong>Results: </strong>Before and after data augmentation, sensitivity remained consistent at 93.3%, specificity improved from 0.0% to 100.0%, and accuracy improved from 46.7% to 96.7%.</p><p><strong>Conclusion: </strong>The prediction accuracy of the deep learning model developed in this research is high, suggesting its high usefulness.</p>","PeriodicalId":74309,"journal":{"name":"Nihon Hoshasen Gijutsu Gakkai zasshi","volume":" ","pages":"750-759"},"PeriodicalIF":0.0,"publicationDate":"2024-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141428410","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
[Research Study on the Effects of Disinfectants on Medical Images and Medical Equipment in Infection Control Measures]. [感染控制措施中消毒剂对医学影像和医疗设备影响的研究]。
Nihon Hoshasen Gijutsu Gakkai zasshi Pub Date : 2024-06-20 Epub Date: 2024-04-17 DOI: 10.6009/jjrt.2024-1425
Takahiro Araki, Toshiki Tateishi, Takayuki Kobayashi, Masaaki Taura, Natsue Matsuta, Nobuhiro Akagi, Tsutomu Kanazawa
{"title":"[Research Study on the Effects of Disinfectants on Medical Images and Medical Equipment in Infection Control Measures].","authors":"Takahiro Araki, Toshiki Tateishi, Takayuki Kobayashi, Masaaki Taura, Natsue Matsuta, Nobuhiro Akagi, Tsutomu Kanazawa","doi":"10.6009/jjrt.2024-1425","DOIUrl":"10.6009/jjrt.2024-1425","url":null,"abstract":"<p><p>In this study, we investigated the effects of various disinfectants used to prevent infectious diseases on medical images and medical equipment. First, we investigated the effect of residual disinfectant on medical images in CT, mammography (MMG), and general imaging systems. Acrylic discs with various disinfectants attached were photographed using each imaging device, and visual evaluation and changes in image signal values were evaluated. We also conducted a questionnaire survey of each manufacturer regarding cleaning methods for medical devices. With CT/MMG, residual disinfectant could be visually confirmed on the image. Although this could not be confirmed with the general imaging system, a significant difference was confirmed in the image signal values of the general imaging system through statistical analysis. This is thought to be largely due to the influence of nonlinearity in the short-time imaging range of general imaging equipment. In addition, from the responses to a questionnaire survey of each medical device manufacturer, we were able to understand detailed cleaning methods that are not covered in medical device instruction manuals.</p>","PeriodicalId":74309,"journal":{"name":"Nihon Hoshasen Gijutsu Gakkai zasshi","volume":" ","pages":"649-657"},"PeriodicalIF":0.0,"publicationDate":"2024-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140869020","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
[New Method of Paired Comparison for Improved Observer Shortage Using Deep Learning Models]. [利用深度学习模型改进观察者短缺的成对比较新方法]。
Nihon Hoshasen Gijutsu Gakkai zasshi Pub Date : 2024-06-20 Epub Date: 2024-05-17 DOI: 10.6009/jjrt.2024-1446
Nariaki Tabata, Tetsuya Ijichi, Hirotaka Itai, Masaru Tateishi, Kento Kita, Asami Obata, Yuna Kawahara, Lisa Sonoda, Shinichi Katou, Toshirou Inoue, Tadamitsu Ideguchi
{"title":"[New Method of Paired Comparison for Improved Observer Shortage Using Deep Learning Models].","authors":"Nariaki Tabata, Tetsuya Ijichi, Hirotaka Itai, Masaru Tateishi, Kento Kita, Asami Obata, Yuna Kawahara, Lisa Sonoda, Shinichi Katou, Toshirou Inoue, Tadamitsu Ideguchi","doi":"10.6009/jjrt.2024-1446","DOIUrl":"10.6009/jjrt.2024-1446","url":null,"abstract":"<p><strong>Purpose: </strong>The aim of this study was to validate the potential of substituting an observer in a paired comparison with a deep-learning observer.</p><p><strong>Methods: </strong>Phantom images were obtained using computed tomography. Imaging conditions included a standard setting of 120 kVp and 200 mA, with tube current variations ranging from 160 mA, 120 mA, 80 mA, 40 mA, and 20 mA, resulting in six different imaging conditions. Fourteen radiologic technologists with >10 years of experience conducted pairwise comparisons using Ura's method. After training, VGG16 and VGG19 models were combined to form deep learning models, which were then evaluated for accuracy, recall, precision, specificity, and F<sub>1</sub>value. The validation results were used as the standard, and the results of the average degree of preference and significance tests between images were compared to the standard if the results of deep learning were incorporated.</p><p><strong>Results: </strong>The average accuracy of the deep learning model was 82%, with a maximum difference of 0.13 from the standard regarding the average degree of preference, a minimum difference of 0, and an average difference of 0.05. Significant differences were observed in the test results when replacing human observers with AI counterparts for image pairs with tube currents of 160 mA vs. 120 mA and 200 mA vs. 160 mA.</p><p><strong>Conclusion: </strong>In paired comparisons with a limited phantom (7-point noise evaluation), the potential use of deep learning was suggested as one of the observers.</p>","PeriodicalId":74309,"journal":{"name":"Nihon Hoshasen Gijutsu Gakkai zasshi","volume":" ","pages":"605-615"},"PeriodicalIF":0.0,"publicationDate":"2024-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141066371","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
[Development of Auto Dense-breast Classification on Mammography Images Using Image Similarity]. [利用图像相似性在乳腺 X 射线照相图像上开发自动致密乳腺分类]。
Nihon Hoshasen Gijutsu Gakkai zasshi Pub Date : 2024-06-20 Epub Date: 2024-05-22 DOI: 10.6009/jjrt.2024-1442
Takuji Tsuchida, Toru Negishi, Masato Takahashi, Kazuya Mori, Ryuko Nishimura
{"title":"[Development of Auto Dense-breast Classification on Mammography Images Using Image Similarity].","authors":"Takuji Tsuchida, Toru Negishi, Masato Takahashi, Kazuya Mori, Ryuko Nishimura","doi":"10.6009/jjrt.2024-1442","DOIUrl":"10.6009/jjrt.2024-1442","url":null,"abstract":"<p><strong>Purpose: </strong>In Japan, radiologists perform qualitative visual classification to define four categories of mammary gland density. However, an objective estimation of mammary gland density is necessary. To address this, we developed an automatic classification software using image similarity.</p><p><strong>Methods: </strong>We prepared 741 cases of mediolateral oblique images (MLO) for evaluation, and they were diagnosed as normal among the mammography images taken at our hospital. Image matching was performed using the evaluation images and an image database for breast density determination. In this study, the image similarity used zero normalized cross-correlation (ZNCC) as an index. In addition, if the breast thickness is less than 30 mm and each breast density category ZNNC has the same value, the category is evaluated on the fat side. We compared the results of qualitative visual classification and automatic classification methods to assess consistency.</p><p><strong>Results: </strong>The agreement with the subjective breast composition classification was 78.5%, and the weighted kappa coefficient was 0.98. One mismatched case was evaluated on the higher density side with the same ZNCC value between categories and a breast thickness greater than 30 mm.</p><p><strong>Conclusion: </strong>Image similarity provides an excellent estimation of quantification of breast density. This system could contribute to improving the efficiency of the mammography screening system.</p>","PeriodicalId":74309,"journal":{"name":"Nihon Hoshasen Gijutsu Gakkai zasshi","volume":" ","pages":"616-625"},"PeriodicalIF":0.0,"publicationDate":"2024-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141082935","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
[Validation of Optimal Imaging Conditions for Coronary Computed Tomography Angiography Using High-definition Mode and Deep Learning Image Reconstruction Algorithm]. [利用高清模式和深度学习图像重建算法验证冠状动脉计算机断层扫描血管造影的最佳成像条件]。
Nihon Hoshasen Gijutsu Gakkai zasshi Pub Date : 2024-05-20 Epub Date: 2024-03-21 DOI: 10.6009/jjrt.2024-1353
Nobuo Kitera, Chikako Fujioka, Toru Higaki, Eiji Nishimaru, Kazushi Yokomachi, Yoriaki Matsumoto, Masao Kiguchi, Kazuya Ohashi, Harumasa Kasai, Kazuo Awai
{"title":"[Validation of Optimal Imaging Conditions for Coronary Computed Tomography Angiography Using High-definition Mode and Deep Learning Image Reconstruction Algorithm].","authors":"Nobuo Kitera, Chikako Fujioka, Toru Higaki, Eiji Nishimaru, Kazushi Yokomachi, Yoriaki Matsumoto, Masao Kiguchi, Kazuya Ohashi, Harumasa Kasai, Kazuo Awai","doi":"10.6009/jjrt.2024-1353","DOIUrl":"10.6009/jjrt.2024-1353","url":null,"abstract":"<p><strong>Purpose: </strong>To verify the optimal imaging conditions for coronary computed tomography angiography (CCTA) examinations when using high-definition (HD) mode and deep learning image reconstruction (DLIR) in combination.</p><p><strong>Method: </strong>A chest phantom and an in-house phantom using 3D printer were scanned with a 256-row detector CT scanner. The scan parameters were as follows - acquisition mode: ON (HD mode) and OFF (normal resolution [NR] mode), rotation time: 0.28 s/rotation, beam coverage width: 160 mm, and the radiation dose was adjusted based on CT-AEC. Image reconstruction was performed using ASiR-V (Hybrid-IR), TrueFidelity Image (DLIR), and HD-Standard (HD mode) and Standard (NR mode) reconstruction kernels. The task-based transfer function (TTF) and noise power spectrum (NPS) were measured for image evaluation, and the detectability index (d') was calculated. Visual evaluation was also performed on an in-house coronary phantom.</p><p><strong>Result: </strong>The in-plane TTF was better for the HD mode than for the NR mode, while the z-axis TTF was lower for DLIR than for Hybrid-IR. The NPS values in the high-frequency region were higher for the HD mode compared to those for the NR mode, and the NPS was lower for DLIR than for Hybrid-IR. The combination of HD mode and DLIR showed the best value for in-plane d', whereas the combination of NR mode and DLIR showed the best value for z-axis d'. In the visual evaluation, the combination of NR mode and DLIR showed the best values from a noise index of 45 HU.</p><p><strong>Conclusion: </strong>The optimal combination of HD mode and DLIR depends on the image noise level, and the combination of NR mode and DLIR was the best imaging condition under noisy conditions.</p>","PeriodicalId":74309,"journal":{"name":"Nihon Hoshasen Gijutsu Gakkai zasshi","volume":" ","pages":"499-509"},"PeriodicalIF":0.0,"publicationDate":"2024-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140178118","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
[Usefulness of Delay Time Setting in Computed Tomography Pulmonary Angiography]. [延迟时间设置在计算机断层扫描肺血管造影术中的实用性]。
Nihon Hoshasen Gijutsu Gakkai zasshi Pub Date : 2024-05-20 Epub Date: 2024-03-27 DOI: 10.6009/jjrt.2024-1385
Kenji Kuramochi, Taichi Sakashita, Yasuyoshi Ogawa
{"title":"[Usefulness of Delay Time Setting in Computed Tomography Pulmonary Angiography].","authors":"Kenji Kuramochi, Taichi Sakashita, Yasuyoshi Ogawa","doi":"10.6009/jjrt.2024-1385","DOIUrl":"10.6009/jjrt.2024-1385","url":null,"abstract":"<p><strong>Purpose: </strong>During computed tomography pulmonary angiography (CTPA), a decrease in the CT value of the pulmonary artery may be observed due to poor contrast enhancement, even though the imaging is performed at the optimum timing while continuously injecting a contrast medium. This study focused on the increase in blood flow in the superior and inferior vena cava during inspiration that affects the decrease in the CT value of the pulmonary artery and investigated a radiography method in which a delay time was set after inspiration in clinical cases.</p><p><strong>Methods: </strong>A total of 50 patients who underwent CTPA for suspected pulmonary thromboembolism were included. Using the bolus tracking method, we monitored the pulmonary arteries before and after inspiration, and investigated the CT value changes.</p><p><strong>Results: </strong>A decrease in the CT value of the pulmonary artery after inspiration was observed in approximately 30% of cases. By setting the delay time, the contrast enhancement effect before and after inspiration became equivalent.</p><p><strong>Conclusion: </strong>As a result of this study, avoiding a decrease in the CT value of the pulmonary artery is possible by setting a delay time after inspiration, which is considered useful during CTPA.</p>","PeriodicalId":74309,"journal":{"name":"Nihon Hoshasen Gijutsu Gakkai zasshi","volume":" ","pages":"539-546"},"PeriodicalIF":0.0,"publicationDate":"2024-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140308144","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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