Visibility Map

A New Method in Evaluation Quality of Optical Colonoscopy

Ali ARMIN, Hans De Visser, Girija CHETTY, Cedric Dumas, David Conlan, Florian Grimpen, olivier salvado

Research output: A Conference proceeding or a Chapter in BookConference contribution

3 Citations (Scopus)

Abstract

Optical colonoscopy is performed by insertion of a long flexible endoscope into the colon. Inspecting the whole colonic surface for abnormalities has been a main concern in estimating quality of a colonoscopy procedure. In this paper we aim to estimate areas that have not been inspected thoroughly as a quality metric by generating a visibility map of the colon surface. The colon was modeled as a cylinder. By estimating the camera motion parameters between each consecutive frame, circumferential bands from the cylinder of the colon surface were extracted. Registering these extracted band images from adjacent video frames provide a visibility map, which could reveal uncovered areas by clinicians from colonoscopy videos. The method was validated using a set of realistic videos generated using a colonoscopy simulator for which the ground truth was known, and by analyzing results from processing actual colonoscopy videos by a clinical expert. Our method was able to identify 100% of uncovered areas on simulated data and achieved with sensitivity of 96% and precision of 74% on real videos. The results suggest that visibility map can increase clinicians’ awareness of uncovered areas, and would reduce the chance of missed polyps
Original languageEnglish
Title of host publicationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2015)
EditorsNassir Navab, Joachim Hornegger, William Wells, Alejandro Frangi
Place of PublicationMunich, Germany
PublisherSpringer
Pages396-404
Number of pages9
Volume9349
ISBN (Electronic)9783319245539
ISBN (Print)9783319245522
DOIs
Publication statusPublished - 2015
Event18th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2015 - Munich, Munich, Germany
Duration: 5 Oct 20159 Oct 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9349
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference18th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2015
Abbreviated titleMICCAI 2015
CountryGermany
CityMunich
Period5/10/159/10/15

Fingerprint

Quality Evaluation
Visibility
Endoscopy
Endoscope
Simulators
Cameras
Insertion
Consecutive
Simulator
Adjacent
Camera
Processing
Metric
Motion
Estimate

Cite this

ARMIN, A., De Visser, H., CHETTY, G., Dumas, C., Conlan, D., Grimpen, F., & salvado, O. (2015). Visibility Map: A New Method in Evaluation Quality of Optical Colonoscopy. In N. Navab, J. Hornegger, W. Wells, & A. Frangi (Eds.), International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2015) (Vol. 9349, pp. 396-404). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9349). Munich, Germany: Springer. https://doi.org/10.1007/978-3-319-24553-9_49
ARMIN, Ali ; De Visser, Hans ; CHETTY, Girija ; Dumas, Cedric ; Conlan, David ; Grimpen, Florian ; salvado, olivier. / Visibility Map : A New Method in Evaluation Quality of Optical Colonoscopy. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2015). editor / Nassir Navab ; Joachim Hornegger ; William Wells ; Alejandro Frangi. Vol. 9349 Munich, Germany : Springer, 2015. pp. 396-404 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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abstract = "Optical colonoscopy is performed by insertion of a long flexible endoscope into the colon. Inspecting the whole colonic surface for abnormalities has been a main concern in estimating quality of a colonoscopy procedure. In this paper we aim to estimate areas that have not been inspected thoroughly as a quality metric by generating a visibility map of the colon surface. The colon was modeled as a cylinder. By estimating the camera motion parameters between each consecutive frame, circumferential bands from the cylinder of the colon surface were extracted. Registering these extracted band images from adjacent video frames provide a visibility map, which could reveal uncovered areas by clinicians from colonoscopy videos. The method was validated using a set of realistic videos generated using a colonoscopy simulator for which the ground truth was known, and by analyzing results from processing actual colonoscopy videos by a clinical expert. Our method was able to identify 100{\%} of uncovered areas on simulated data and achieved with sensitivity of 96{\%} and precision of 74{\%} on real videos. The results suggest that visibility map can increase clinicians’ awareness of uncovered areas, and would reduce the chance of missed polyps",
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ARMIN, A, De Visser, H, CHETTY, G, Dumas, C, Conlan, D, Grimpen, F & salvado, O 2015, Visibility Map: A New Method in Evaluation Quality of Optical Colonoscopy. in N Navab, J Hornegger, W Wells & A Frangi (eds), International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2015). vol. 9349, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9349, Springer, Munich, Germany, pp. 396-404, 18th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2015, Munich, Germany, 5/10/15. https://doi.org/10.1007/978-3-319-24553-9_49

Visibility Map : A New Method in Evaluation Quality of Optical Colonoscopy. / ARMIN, Ali; De Visser, Hans; CHETTY, Girija; Dumas, Cedric; Conlan, David; Grimpen, Florian; salvado, olivier.

International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2015). ed. / Nassir Navab; Joachim Hornegger; William Wells; Alejandro Frangi. Vol. 9349 Munich, Germany : Springer, 2015. p. 396-404 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9349).

Research output: A Conference proceeding or a Chapter in BookConference contribution

TY - GEN

T1 - Visibility Map

T2 - A New Method in Evaluation Quality of Optical Colonoscopy

AU - ARMIN, Ali

AU - De Visser, Hans

AU - CHETTY, Girija

AU - Dumas, Cedric

AU - Conlan, David

AU - Grimpen, Florian

AU - salvado, olivier

PY - 2015

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N2 - Optical colonoscopy is performed by insertion of a long flexible endoscope into the colon. Inspecting the whole colonic surface for abnormalities has been a main concern in estimating quality of a colonoscopy procedure. In this paper we aim to estimate areas that have not been inspected thoroughly as a quality metric by generating a visibility map of the colon surface. The colon was modeled as a cylinder. By estimating the camera motion parameters between each consecutive frame, circumferential bands from the cylinder of the colon surface were extracted. Registering these extracted band images from adjacent video frames provide a visibility map, which could reveal uncovered areas by clinicians from colonoscopy videos. The method was validated using a set of realistic videos generated using a colonoscopy simulator for which the ground truth was known, and by analyzing results from processing actual colonoscopy videos by a clinical expert. Our method was able to identify 100% of uncovered areas on simulated data and achieved with sensitivity of 96% and precision of 74% on real videos. The results suggest that visibility map can increase clinicians’ awareness of uncovered areas, and would reduce the chance of missed polyps

AB - Optical colonoscopy is performed by insertion of a long flexible endoscope into the colon. Inspecting the whole colonic surface for abnormalities has been a main concern in estimating quality of a colonoscopy procedure. In this paper we aim to estimate areas that have not been inspected thoroughly as a quality metric by generating a visibility map of the colon surface. The colon was modeled as a cylinder. By estimating the camera motion parameters between each consecutive frame, circumferential bands from the cylinder of the colon surface were extracted. Registering these extracted band images from adjacent video frames provide a visibility map, which could reveal uncovered areas by clinicians from colonoscopy videos. The method was validated using a set of realistic videos generated using a colonoscopy simulator for which the ground truth was known, and by analyzing results from processing actual colonoscopy videos by a clinical expert. Our method was able to identify 100% of uncovered areas on simulated data and achieved with sensitivity of 96% and precision of 74% on real videos. The results suggest that visibility map can increase clinicians’ awareness of uncovered areas, and would reduce the chance of missed polyps

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T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 396

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BT - International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2015)

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PB - Springer

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ER -

ARMIN A, De Visser H, CHETTY G, Dumas C, Conlan D, Grimpen F et al. Visibility Map: A New Method in Evaluation Quality of Optical Colonoscopy. In Navab N, Hornegger J, Wells W, Frangi A, editors, International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2015). Vol. 9349. Munich, Germany: Springer. 2015. p. 396-404. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-319-24553-9_49