(最終更新日:2024-11-06 14:58:44)
  マスダ タカノリ   Takanori Masuda
  舛田 隆則
   所属   川崎医療福祉大学  医療技術学部 診療放射線技術学科
   職種   講師
■ 現在の専門分野
放射線科学 (キーワード:CT) 
■ 著書
1. 2023/09/20 部分執筆  「CT縦横無尽」 
■ 学術雑誌
1. 2024/11 その他 Effectiveness of the air-gap method for reducing radiation dose in neonate CT examinations  Link
2. 2024/09 原著 Comparison of the equivalent doses of the eye lenses, thyroid, and mammary gland among three pediatric and one adult anthropomorphic phantom during the chest CT examinations using a 40 mm volume helical scan  Link
3. 2024/09 原著 Computed tomography numbers obtained for varying iodine contrast concentrations by different-generation dual-energy computed tomography scanners  Link
4. 2024/05/21 原著 Comparison of pediatric lens scattered dose measurements between axial 40-mm and helical 160-mm detector width computed tomography scan modes  Link
5. 2024/05/02 原著 Prediction of endovascular leaks after thoracic endovascular aneurysm repair though machine learning applied to pre-procedural computed tomography angiographs  Link
全件表示(73件)
■ 学会発表
1. 2023/12/01 Usefulness of the air gap methods during pediatric computed tomography (ポスター掲示,一般) 
2. 2022/11/28 Optimization For the Contrast Enhancement at Head Computed Tomography Angiography by Using the Patient Body Size Indexes (ポスター掲示,一般) 
3. 2021/11/28 Machine learning of the patient characteristics and of vascular features observed on pre-procedural computed tomography angiographs helps to predict endovascular leaks after thoracic endovascular aneurysm repair (ポスター掲示,一般) 
4. 2020/11/30 Analysis of the Machine-Learning Integration of the Patient Characteristics, Stent Graft Device, and Vessel Parameters Examined on Computed Tomography Angiographs Obtained Before Endovascular Aortic Repair: Can Endoleaks Be Predicted? (ポスター掲示,一般) 
5. 2020/11/30 Deep-learning with convolutional neural network integration to evaluate the composition of atherosclerotic plaques: Validation with integrated backscatter intravascular ultrasonography (ポスター掲示,一般) 
全件表示(36件)
■ 所属学会
1. 放射線技師会
2. 放射線技術学会