Development of positron sensor for multi-modal endoscopy

被引:0
|
作者
Shimazoe, Kenji [1 ]
Takahashi, Hiroyuki [2 ]
Fujita, Kaoru [3 ]
Mori, Hiroshi [1 ]
Momose, Toshimitsu [1 ]
机构
[1] Univ Tokyo, Dept Bioengn, Bunkyo Ku, Tokyo 1138656, Japan
[2] Univ Tokyo, Dept Nucl Engn & Management, Bunkyo Ku, Tokyo 1138656, Japan
[3] Japan Atom Energy Agcy, Ibaraki 3191184, Japan
关键词
Positron; Endoscopy; Si; Gamma;
D O I
10.1016/j.nima.2010.12.079
中图分类号
TH7 [仪器、仪表];
学科分类号
0804 ; 080401 ; 081102 ;
摘要
Endoscopy is an important inspection device to detect cancers in the human body, but there exists the case of cancer that is hard to detect with only an optical device. Double inspection with optical and radio images is preferable for high accuracy diagnosis, and real time radio imaging is also promising for real time surgery with an endoscope. We have simulated, designed and fabricated a Si-based positron imaging probe for more accurate cancer detection in multi-modality endoscope systems. The fabricated Si-based detector with 2 mm diameter and 1 mm thickness was tested with gamma and positron sources, and also tested to detect cancers in a tumor bearing mouse. The direct positron imaging could have an advantage over gamma imaging in its high sensitivity and resolution. (C) 2011 Elsevier B.V. All rights reserved.
引用
收藏
页码:S116 / S118
页数:3
相关论文
共 50 条
  • [31] Multi-Modal Sensor Fusion and Selection for Enhanced Situational Awareness
    Reily, Brian
    Reardon, Christopher
    Zhang, Hao
    [J]. VIRTUAL, AUGMENTED, AND MIXED REALITY (XR) TECHNOLOGY FOR MULTI-DOMAIN OPERATIONS II, 2021, 11759
  • [32] Driver drowsiness detection using multi-modal sensor fusion
    Andreeva, E
    Aarabi, P
    Philiastides, MG
    Mohajer, K
    Emami, M
    [J]. MULTISENSOR, MULTISOURCE INFORMATION FUSION: ARCHITECTURES, ALGORITHMS, AND APPLICATONS 2004, 2004, 5434 : 380 - 390
  • [33] Multi-modal Sensor and Data Processing for Comprehensive Skin Evaluation
    Wang, Song
    Xi, Ning
    [J]. 2021 IEEE SENSORS, 2021,
  • [34] Multi-Modal 2020: Multi-Modal Argumentation 30 Years Later
    Gilbert, Michael A.
    [J]. INFORMAL LOGIC, 2022, 42 (03): : 487 - 506
  • [35] Multi-modal Target Tracking using Heterogeneous Sensor Networks
    Kushwaha, Manish
    Amundson, Isaac
    Volgyesi, Peter
    Ahammad, Parvez
    Simon, Gyula
    Koutsoukos, Xenofon
    Ledeczi, Akos
    Sastry, Shankar
    [J]. 2008 PROCEEDINGS OF 17TH INTERNATIONAL CONFERENCE ON COMPUTER COMMUNICATIONS AND NETWORKS, VOLS 1 AND 2, 2008, : 136 - +
  • [36] Spherical Multi-Modal Place Recognition for Heterogeneous Sensor Systems
    Bernreiter, Lukas
    Ott, Lionel
    Nieto, Juan
    Siegwart, Roland
    Cadena, Cesar
    [J]. 2021 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA 2021), 2021, : 1743 - 1750
  • [37] Multi-modal sensor localization using a mobile access point
    Sadler, BM
    Kozick, RJ
    Tong, L
    [J]. 2005 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS 1-5: SPEECH PROCESSING, 2005, : 753 - 756
  • [38] Development of an experimental prototype multi-modal netted sensor fence for homeland defense and border integrity
    Shi, Weiqun
    Arabadjis, Gus
    Bishop, Brett
    Hill, Peter
    Plasse, Rich
    [J]. 2007 IEEE CONFERENCE ON TECHNOLOGIES FOR HOMELAND SECURITY: ENHANCING CRITICAL INFRASTRUCTURE DEPENDABILITY, 2007, : 221 - +
  • [39] Multi-Modal Sensor and HMI Integration with Applications in Personal Robotics
    Alonzo, Rommel
    Cremer, Sven
    Mirza, Fahad
    Gowda, Sandesh
    Mastromoro, Larry
    Popa, Dan O.
    [J]. NEXT-GENERATION ROBOTICS II; AND MACHINE INTELLIGENCE AND BIO-INSPIRED COMPUTATION: THEORY AND APPLICATIONS IX, 2015, 9494
  • [40] Multi-modal sensor system for plant water stress assessment
    Kim, James Y.
    Glenn, David M.
    [J]. COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2017, 141 : 27 - 34