eprintid: 1363080 rev_number: 59 eprint_status: archive userid: 608 dir: disk0/01/36/30/80 datestamp: 2012-09-26 15:37:04 lastmod: 2021-09-23 22:41:10 status_changed: 2012-09-26 15:37:04 type: book_section metadata_visibility: show item_issues_count: 0 creators_name: Roth, H creators_name: Boone, D creators_name: Halligan, S creators_name: Hampshire, T creators_name: McClelland, J creators_name: Hu, M creators_name: Punwani, S creators_name: Taylor, S creators_name: Hawkes, D title: External Clinical Validation of Prone and Supine CT Colonography Registration ispublished: pub divisions: UCL divisions: B02 divisions: C10 divisions: D17 divisions: FI6 divisions: B04 divisions: C05 divisions: F42 keywords: Computer Science note: The final publication is available at www.springerlink.com abstract: This paper provides an external validation of a prone-supine registration algorithm for CT colonography (CTC). A validation sample of 49 patient cases with 66 polyps (6 to 30 mm) was selected from a publicly available, anonymized CTC archive. To enhance generalizability, no case was excluded due to poor preparation or inadequate distension. Corresponding prone and supine polyp coordinates were recorded and the endoluminal surfaces registered: a Markov Random Field technique was used to find feature matches between prone/supine acquisitions and following mapping of the endoluminal surface to a cylinder, dense surface correspondence was achieved via cylindrical non-rigid registration. The polyp registration error was determined and a subjective assessment of registration made for 2D slice-based and 3D endoluminal data display using a pre-specified scoring system. Results were compared to using “normalized distance along the colon centerline” (NDACC) which approximates to the method currently employed to match colonic positions using proprietary CT colonography interpretation software. Registration was possible in all 49 cases. Overall mean 3D polyp registration error was significantly smaller with 19.9 mm in comparison to 27.7 mm using NDACC (p=0.001). 82.7% of polyp matches were defined as “successful” in comparison to 37.1% using NDACC according to the pre-specified criteria. Similarly, using 2D visualization, 62.1% registrations were “successful” and only 22.7% using NDACC. Full surface-based prone-to-supine registration can successfully map the location of a polyp identified on one acquisition to the corresponding endoluminal surface in the opposing acquisition, greatly facilitating polyp matching and aiding interpretation. Our method compares favorably to using NDACC. date: 2012 publisher: Springer Verlag official_url: http://dx.doi.org/10.1007/978-3-642-33612-6_2 vfaculties: VGHCSCI vfaculties: VENG oa_status: green language: eng primo: open primo_central: open_green verified: verified_manual elements_source: Manually entered elements_id: 442959 doi: 10.1007/978-3-642-33612-6_2 isbn_13: 978-3-642-33611-9 lyricists_name: Boone, Darren lyricists_name: Halligan, Michael Stephen lyricists_name: Hampshire, Thomas lyricists_name: Hawkes, David lyricists_name: Hu, Mingxing lyricists_name: McClelland, James lyricists_name: Punwani, Shonit lyricists_name: Roth, Holger lyricists_name: Taylor, Stuart lyricists_id: DJBOO90 lyricists_id: HALLI02 lyricists_id: TEHAM08 lyricists_id: DJHAW78 lyricists_id: MHUXX13 lyricists_id: JRMCC68 lyricists_id: SPUNW14 lyricists_id: HRROT46 lyricists_id: STAYL70 full_text_status: public series: Lecture Notes in Computer Science volume: 7601 place_of_pub: Berlin / Heidelberg, Germany pagerange: 10-19 book_title: Abdominal Imaging. Computational and Clinical Applications: 4th InternationalWorkshop Held in Conjunction with MICCAI 2012 Nice, France, October 1, 2012 Proceedings editors_name: Yoshida, H editors_name: Hawkes, D editors_name: Vannier, M citation: Roth, H; Boone, D; Halligan, S; Hampshire, T; McClelland, J; Hu, M; Punwani, S; ... Hawkes, D; + view all <#> Roth, H; Boone, D; Halligan, S; Hampshire, T; McClelland, J; Hu, M; Punwani, S; Taylor, S; Hawkes, D; - view fewer <#> (2012) External Clinical Validation of Prone and Supine CT Colonography Registration. In: Yoshida, H and Hawkes, D and Vannier, M, (eds.) Abdominal Imaging. Computational and Clinical Applications: 4th InternationalWorkshop Held in Conjunction with MICCAI 2012 Nice, France, October 1, 2012 Proceedings. (pp. 10-19). Springer Verlag: Berlin / Heidelberg, Germany. Green open access document_url: https://discovery.ucl.ac.uk/id/eprint/1363080/1/HRRoth2012%20-%20External%20Clinical%20Validation%20of%20Prone%20and%20Supine%20CT%20Colonography%20Registration%20-%20preprint.pdf