Abstract
During angiographic examinations, interventional radiologists need various image manipulations such as paging, roaming, zooming, windowing, fusion, summation, subtraction, image enhancement, and reference image display in order to assess forward vessels, nidus conditions, and sources of bleeding. However, radiologists cannot touch the screen by hand because their gloves must always be kept clean. Usually, radiologists provide verbal instructions to technologists, who may operate the workstation to display appropriate images with various types of image processing. However, if a technologist is not at the console because of preparation of the catheter or contrast agent, a quick operation may not be performed. Therefore, we developed an image operation system that uses a motion sensor for angiography. With this motion-sensor workstation, radiologists can give instructions for image display and manipulation merely with movements of the fingers. This is a new technology for angiography in operating rooms. For proper display of simulated viewing for the sequence of clinical digital subtraction angiography (DSA) images, we investigated a comparison of the average time required by the conventional method using the mouse and the finger operating method with a motion sensor. After practice of a total of 30 min, the average operation time by the finger method was significantly shorter than that by the mouse method. This motion sensor method with appropriate training about finger movements can provide a better operating performance than the conventional mouse method.
Similar content being viewed by others
References
Janssen JP, Rares A, Tuinenburg JC, Koning G, Lansky AJ, Reiber JH. New approaches for the assessment of vessel sizes in quantitative (cardio-)vascular X-ray analysis. Int J Cardiovasc Imaging. 2010;26:259–71.
Sapoval M, Pellerin O, Rehel JL, Houdoux N, Rahmoune G, Aubert B, et al. Uterine artery embolization for leiomyomata: optimization of the radiation dose to the patient using a flat-panel detector angiographic suite. Cardiovasc Interv Radiol. 2010;33:949–54.
Wang X, Shah RP, Maybody M, Brown KT, Getrajdman GI, Stevenson C, et al. Cystic artery localization with a three-dimensional angiography vessel tracking system compared with conventional two-dimensional angiography. J Vasc Interv Radiol. 2011;22:1414–9.
Söderman M, Holmin S, Andersson T, Palmgren C, Babic D, Hoornaert B. Image noise reduction algorithm for digital subtraction angiography: clinical results. Radiol. 2013;269:553–60.
Nakano J, Okabayashi H, Noma H, Sato T, Sakata R. Early angiographic evaluation after off-pump coronary artery bypass grafting. J Thorac Cardiovasc Surg. 2013;146:1119–25.
Yoshimitsu K, Muragaki Y, Maruyama T, Saito T, Suzuki T, Ikuta S, et al. Clinical trials of the non-touch intraoperative image controllable interface system using KINECT(TM). IJCARS. 2012;7:S209–10.
Hatta T, Yamamoto T, Suzuki Y, Kiyono K, Nomura T. Marker-less motion capture system with kinect and foot pressure distribution measurement. Trans Jpn Soc Med Biol Eng. 2013;51:296.
Jin M, Choi C, Ahn B, Kim S, Chung K. The development of interactive ski-simulation system by physics-based analysis. Jpn J Ergon. 2013;49:432–43.
Miyajima H, Yamamoto M. Personal identification based on skeletal movement using kinect. J Inst Image Inf Telev Eng. 2013;67:417–20 (in japanese).
Strickland M, Tremaine J, Brigley G, Law C. Using a depth-sensing infrared camera system to access and manipulate medical imaging from within the sterile operating field. Can J Surg. 2013;56:E1–6.
Ogura T, Ishida Y, Tsutsumi S, Hayashi N, Doi K.: Development of a image operation system using a kinect sensor for angiography. In: Proceedings of JAMIT annual meeting 2013, vol. 1–20, pp. 1–4 (in japanese) (2013).
Ishida Y, Ogura T, Hayashi N, Sato M, Okajima M, Doi K.: Development of a new image operation system with hand movements using a kinect sensor for angiography. Presented (SSG15-02) at the 99th Scientific Asssembly and Annual Meeting of the Radiological Society of North America, Chicago, IL 30 Nov–7 Dec, 2013.
Acknowledgments
The authors wish to thank Yoshiaki Yasumoto, Shoko Tsutsumi, and Mika Okajima of the Gunma Prefectural College of Health Sciences for their helpful assistance with the measurements. They also wish to acknowledge Masumi Uehara, Yasuyuki Takahashi, Toru Negishi, Syuhei Hoshino, Hiroyuki Nagashima, Kyoko Saito, Yoshiko Nishimura, Aoki Rika, Daisuke Ozaki, and Ayaka Nemoto for their participation in this observer study. We are grateful to Mrs. Lanzl for her helpful suggestions in improving the manuscript.
Conflict of interest
The authors declare that they have no conflict of interest for this study.
Author information
Authors and Affiliations
Corresponding author
About this article
Cite this article
Ogura, T., Sato, M., Ishida, Y. et al. Development of a novel method for manipulation of angiographic images by use of a motion sensor in operating rooms. Radiol Phys Technol 7, 228–234 (2014). https://doi.org/10.1007/s12194-014-0259-0
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12194-014-0259-0