{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,3,29]],"date-time":"2022-03-29T07:17:01Z","timestamp":1648538221561},"reference-count":7,"publisher":"World Scientific Pub Co Pte Lt","issue":"02","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Image Grap."],"published-print":{"date-parts":[[2001,4]]},"abstract":"<jats:p> Vessel tracking is usually needed for various medical usages such as clinical diagnosis and surgery planning. A clear understanding of the patient's actual vessel morphology is very important in planning the surgery. Tracking the vessels\/bronchia from scanned medical images such as CT or MRI manually is very tedious and labor-intensive. On the other hand, a fully automatic tracking algorithm may not be very reliable. It may be sensitive to the noise in the volume data. In this paper, we propose a vessel tracking method that finds air-way paths using three-dimensional intelligent scissors. 3D Intelligent Scissors has the ability to extract hollow vessels by climbing along surfaces. Thus, a rough path can be found if the end points of a narrow tunnel are selected. Another advantage of using 3D Intelligent Scissors is that it can successfully extract the path even the actual path is broken. Very often the diameter of a blood vessel may be sometimes smaller than one voxel. Since our algorithm is semi-automatic, it provides sufficient control to accurately find out the desired paths with only minimal user intervention. We have applied the proposed 3D Intelligent Scissors for the application of tracking lung air-ways. A 3D stylus and cutting planes in the virtual volume space are used for selecting the end nodes of vessel paths and revealing the local details on the texture-mapped plane. Our system also provides advanced navigation features to guide visual examination and diagnosis of volumetric air-way paths. These include interactive control of incremental forward, backward, and rotating navigation in reference to the viewing frustum and 3D real-time input. <\/jats:p>","DOI":"10.1142\/s0219467801000177","type":"journal-article","created":{"date-parts":[[2002,7,27]],"date-time":"2002-07-27T10:59:39Z","timestamp":1027767579000},"page":"273-285","source":"Crossref","is-referenced-by-count":0,"title":["INTERACTIVE NAVIGATION OF VIRTUAL VESSEL TRACKING WITH 3D INTELLIGENT SCISSORS"],"prefix":"10.1142","volume":"01","author":[{"given":"PHENG-ANN","family":"HENG","sequence":"first","affiliation":[{"name":"Dept. of Computer Science &amp; Engineering, The Chinese University of Hong Kong, Hong Kong, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"HANQIU","family":"SUN","sequence":"additional","affiliation":[{"name":"Dept. of Computer Science &amp; Engineering, The Chinese University of Hong Kong, Hong Kong, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"KWONG-WAI","family":"CHEN","sequence":"additional","affiliation":[{"name":"Dept. of Computer Science &amp; Engineering, The Chinese University of Hong Kong, Hong Kong, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"TIEN-TSIN","family":"WONG","sequence":"additional","affiliation":[{"name":"Dept. of Computer Science &amp; Engineering, The Chinese University of Hong Kong, Hong Kong, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2011,11,20]]},"reference":[{"key":"p_1","doi-asserted-by":"publisher","DOI":"10.1016\/0097-8493(94)90040-X"},{"key":"p_2","doi-asserted-by":"publisher","DOI":"10.1016\/0097-8493(94)00124-H"},{"key":"p_4","doi-asserted-by":"publisher","DOI":"10.1109\/38.481625"},{"key":"p_5","doi-asserted-by":"publisher","DOI":"10.1007\/BF01386390"},{"key":"p_8","doi-asserted-by":"publisher","DOI":"10.1145\/28869.28874"},{"key":"p_10","doi-asserted-by":"publisher","DOI":"10.1109\/2945.722298"},{"key":"p_13","doi-asserted-by":"publisher","DOI":"10.1111\/1467-8659.00146"}],"container-title":["International Journal of Image and Graphics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S0219467801000177","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,7]],"date-time":"2019-08-07T01:01:42Z","timestamp":1565139702000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S0219467801000177"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2001,4]]},"references-count":7,"journal-issue":{"issue":"02","published-online":{"date-parts":[[2011,11,20]]},"published-print":{"date-parts":[[2001,4]]}},"alternative-id":["10.1142\/S0219467801000177"],"URL":"https:\/\/doi.org\/10.1142\/s0219467801000177","relation":{},"ISSN":["0219-4678","1793-6756"],"issn-type":[{"value":"0219-4678","type":"print"},{"value":"1793-6756","type":"electronic"}],"subject":[],"published":{"date-parts":[[2001,4]]}}}