{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T14:10:34Z","timestamp":1742998234175,"version":"3.40.3"},"publisher-location":"Cham","reference-count":24,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030875947"},{"type":"electronic","value":"9783030875954"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-030-87595-4_28","type":"book-chapter","created":{"date-parts":[[2021,9,15]],"date-time":"2021-09-15T06:13:22Z","timestamp":1631686402000},"page":"376-391","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A New Technique of the Virtual Reality Visualization of Complex Volume Images from the Computer Tomography and Magnetic Resonance Imaging"],"prefix":"10.1007","author":[{"given":"Iva","family":"Vasic","sequence":"first","affiliation":[]},{"given":"Roberto","family":"Pierdicca","sequence":"additional","affiliation":[]},{"given":"Emanuele","family":"Frontoni","sequence":"additional","affiliation":[]},{"given":"Bata","family":"Vasic","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,9,16]]},"reference":[{"doi-asserted-by":"publisher","unstructured":"Suttor, J., Marin, J., Verbus, E., Su, M.: Implement AI service into VR training, SPML. In: 2nd International Conference on Signal Processing and Machine Learning, pp. 114\u2013121. Association for Computing Machinery (2019). https:\/\/doi.org\/10.1145\/3372806.3374909","key":"28_CR1","DOI":"10.1145\/3372806.3374909"},{"doi-asserted-by":"publisher","unstructured":"Gluck, A., Chen, J., Paul, R.: Artificial intelligence assisted virtual reality warfighter training system. In: 2020 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR). Utrecht, Netherlands, vol. 1, pp. 386\u2013389. IEEE Computer Society (2020). https:\/\/doi.org\/10.1109\/AIVR50618.2020.00080","key":"28_CR2","DOI":"10.1109\/AIVR50618.2020.00080"},{"issue":"4","key":"28_CR3","doi-asserted-by":"publisher","first-page":"554","DOI":"10.1016\/j.cag.2009.04.006","volume":"33","author":"J Klein","year":"2009","unstructured":"Klein, J., et al.: Technical section: visual computing for medical diagnosis and treatment. Comput. Graph. 33(4), 554\u2013565 (2009). https:\/\/doi.org\/10.1016\/j.cag.2009.04.006","journal-title":"Comput. Graph."},{"doi-asserted-by":"publisher","unstructured":"Xia, J., et al.: Three-dimensional virtual-reality surgical planning and soft-tissue prediction for orthognathic surgery. IEEE Trans. Inf. Technol. Biomed. 5(2), 97\u2013107. IEEE (2001). https:\/\/doi.org\/10.1109\/4233.924800","key":"28_CR4","DOI":"10.1109\/4233.924800"},{"doi-asserted-by":"publisher","unstructured":"Ullrich, S., Kuhlen, T.: Haptic palpation for medical simulation in virtual environments. IEEE Trans. Vis. Comput. Graph. 18(4), 617\u2013625. IEEE (2012). https:\/\/doi.org\/10.1109\/TVCG.2012.46","key":"28_CR5","DOI":"10.1109\/TVCG.2012.46"},{"unstructured":"Chang, G., Morreale, P., Medicherla, P.: Applications of augmented reality systems in education. In: Gibson, D., Dodge, B. (eds.) Proceedings of SITE 2010--Society for Information Technology & Teacher Education International Conference, pp. 1380\u20131385. Association for the Advancement of Computing in Education (AACE), Waynesville, NC USA (2010)","key":"28_CR6"},{"doi-asserted-by":"publisher","unstructured":"Jeena, R.S., Kumar, S.: A comparative analysis of MRI and CT brain images for stroke diagnosis. In: 2013 Annual International Conference on Emerging Research Areas and 2013 International Conference on Microelectronics, Communications and Renewable Energy, pp. 1\u20135. IEEE, Kanjirapally, India (2013). https:\/\/doi.org\/10.1109\/AICERA-ICMiCR.2013.6575935","key":"28_CR7","DOI":"10.1109\/AICERA-ICMiCR.2013.6575935"},{"key":"28_CR8","doi-asserted-by":"publisher","first-page":"20","DOI":"10.1016\/j.media.2019.02.008","volume":"54","author":"N Karani","year":"2019","unstructured":"Karani, N., Zhang, L., Tanner, C., Konukoglu, E.: An image interpolation approach for acquisition time reduction in navigator-based 4D MRI. Med. Image Anal. 54, 20\u201329 (2019). https:\/\/doi.org\/10.1016\/j.media.2019.02.008","journal-title":"Med. Image Anal."},{"key":"28_CR9","volume-title":"The Radon Transform - Theory and Implementation","author":"PA Toft","year":"1996","unstructured":"Toft, P.A.: The Radon Transform - Theory and Implementation. Technical University of Denmark, Kgs. Lyngby, Denmark (1996)"},{"doi-asserted-by":"publisher","unstructured":"Fradi, A., Louhichi, B., Mahjoub, M.A, Eynard, B.: 3D Object retrieval based on similarity calculation in 3D computer aided design systems. In: 2017 IEEE\/ACS 14th International Conference on Computer Systems and Applications (AICCSA), pp. 160\u2013165. IEEE, Hammamet, Tunisia (2017). https:\/\/doi.org\/10.1109\/AICCSA.2017.101","key":"28_CR10","DOI":"10.1109\/AICCSA.2017.101"},{"unstructured":"Cheng, P.C: Handbook of Vascular Motion. Stanford University, CA, United States, Academic Press (2019)","key":"28_CR11"},{"unstructured":"ITK-SNAP: Imaging ToolKit-SNAP, University of Pennsylvania, Philadelphia, Pennsylvania, University of Utah, Salt Lake City, Utah. http:\/\/www.itksnap.org","key":"28_CR12"},{"unstructured":"MITK: Medical Imaging Interaction ToolKit, German Cancer Research Center Division of Medical Image Computing, Heidelberg, Germany","key":"28_CR13"},{"unstructured":"3D Slicer, Harvard University, Cambridge, Massachusetts. https:\/\/www.slicer.org","key":"28_CR14"},{"issue":"4","key":"28_CR15","doi-asserted-by":"publisher","first-page":"25","DOI":"10.4316\/AECE.2012.04004","volume":"12","author":"B Vasic","year":"2012","unstructured":"Vasic, B.: Ordered Statistics Vertex Extraction and Tracing Algorithm (OSVETA). Adv. Electr. Comput. Eng. 12(4), 25\u201332 (2012). https:\/\/doi.org\/10.4316\/AECE.2012.04004","journal-title":"Adv. Electr. Comput. Eng."},{"doi-asserted-by":"publisher","unstructured":"Marks, P.: Deep Learning Speeds MRI Scans. Commun. ACM 64(4), 12\u201314 (2021). https:\/\/doi.org\/10.1145\/3449060","key":"28_CR16","DOI":"10.1145\/3449060"},{"key":"28_CR17","doi-asserted-by":"publisher","first-page":"352","DOI":"10.3233\/978-1-60750-873-1-352","volume":"29","author":"J Kerr","year":"1996","unstructured":"Kerr, J., Ratiu, P., Sellberg, M.: Volume rendering of visible human data for an anatomical virtual environment. Stud. Health Technol. Inf. 29, 352\u2013370 (1996). https:\/\/doi.org\/10.3233\/978-1-60750-873-1-352","journal-title":"Stud. Health Technol. Inf."},{"unstructured":"Kauffman, M.: Optimizing Your Autodesk\u00ae 3ds Max\u00ae Design Models for Project Newport. Autodesk University 2009 (2019). http:\/\/au.autodesk.com\/?nd=material&session_material_id=6296","key":"28_CR18"},{"doi-asserted-by":"crossref","unstructured":"Faletra, F., Pandian, N., Yen Ho, S.: Anatomy of the Heart by Multislice Computed Tomography. Wiley-Blackwell (2008)","key":"28_CR19","DOI":"10.1002\/9781444300550"},{"unstructured":"Vasic, I.: Virtual heart application. http:\/\/iva.silicon-studio.com\/Heartapp.zip","key":"28_CR20"},{"unstructured":"Unity: Multiplatform, Unity Technologies. https:\/\/unity.com","key":"28_CR21"},{"issue":"2","key":"28_CR22","first-page":"247","volume":"8","author":"DJ Aronberg","year":"1984","unstructured":"Aronberg, D.J., Glazer, H.S., Madsen, K., Sagel, S.S.: Normal thoracic aortic diameters by computed tomography. J. Comput. Assist. Tomogr. 8(2), 247 (1984). PMID: 6707274","journal-title":"J. Comput. Assist. Tomogr."},{"key":"28_CR23","doi-asserted-by":"publisher","first-page":"322","DOI":"10.1007\/s00276-003-0140-z","volume":"25","author":"JM Garcier","year":"2003","unstructured":"Garcier, J.M., Petitcolin, V., Filaire, M., et al.: Normal diameter of the thoracic aorta in adults: a magnetic resonance imaging study. Surg. Radiol. Anat. 25, 322\u2013329 (2003). https:\/\/doi.org\/10.1007\/s00276-003-0140-z","journal-title":"Surg. Radiol. Anat."},{"unstructured":"https:\/\/www.embodi3d.com\/files\/","key":"28_CR24"}],"container-title":["Lecture Notes in Computer Science","Augmented Reality, Virtual Reality, and Computer Graphics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-87595-4_28","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,9,15]],"date-time":"2021-09-15T06:19:17Z","timestamp":1631686757000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-87595-4_28"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030875947","9783030875954"],"references-count":24,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-87595-4_28","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"16 September 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"AVR","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Augmented Reality, Virtual Reality and Computer Graphics","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7 September 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"10 September 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"avr2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.salentoavr.it\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"OCS","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"69","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"38","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"14","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"55% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}