Automatic classification of small bowel mucosa alterations in celiac disease for confocal laser endomicroscopy

Conference paper


Boschetto, D, Di Claudio, G, Mirzaei, H, Leong, R and Grisan, E (2016). Automatic classification of small bowel mucosa alterations in celiac disease for confocal laser endomicroscopy. Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging. San Diego, United States 27 Feb - 03 Mar 2016 SPIE. doi:10.1117/12.2217183
AuthorsBoschetto, D, Di Claudio, G, Mirzaei, H, Leong, R and Grisan, E
TypeConference paper
Abstract

Celiac disease (CD) is an immune-mediated enteropathy triggered by exposure to gluten and similar proteins, affecting genetically susceptible persons, increasing their risk of different complications. Small bowels mucosa damage due to CD involves various degrees of endoscopically relevant lesions, which are not easily recognized: their overall sensitivity and positive predictive values are poor even when zoom-endoscopy is used. Confocal Laser Endomicroscopy (CLE) allows skilled and trained experts to qualitative evaluate mucosa alteration such as a decrease in goblet cells density, presence of villous atrophy or crypt hypertrophy. We present a method for automatically classifying CLE images into three different classes: normal regions, villous atrophy and crypt hypertrophy. This classification is performed after a features selection process, in which four features are extracted from each image, through the application of homomorphic filtering and border identification through Canny and Sobel operators. Three different classifiers have been tested on a dataset of 67 different images labeled by experts in three classes (normal, VA and CH): linear approach, Naive-Bayes quadratic approach and a standard quadratic analysis, all validated with a ten-fold cross validation. Linear classification achieves 82.09% accuracy (class accuracies: 90.32% for normal villi, 82.35% for VA and 68.42% for CH, sensitivity: 0.68, specificity 1.00), Naive Bayes analysis returns 83.58% accuracy (90.32% for normal villi, 70.59% for VA and 84.21% for CH, sensitivity: 0.84 specificity: 0.92), while the quadratic analysis achieves a final accuracy of 94.03% (96.77% accuracy for normal villi, 94.12% for VA and 89.47% for CH, sensitivity: 0.89, specificity: 0.98). © 2016 SPIE.

Year2016
PublisherSPIE
Journal citation9788
Digital Object Identifier (DOI)doi:10.1117/12.2217183
Web address (URL)https://www.scopus.com/inward/record.uri?eid=2-s2.0-84978910539&doi=10.1117%2f12.2217183&partnerID=40&md5=96bb0da129d4f2e4e44bdeff6932ec12
Accepted author manuscript
License
CC BY-NC 4.0
File Access Level
Open
Publication dates
Print29 Mar 2016
Publication process dates
Accepted29 Feb 2016
Deposited27 Jan 2020
Permalink -

https://openresearch.lsbu.ac.uk/item/88xvw

Download files

Accepted author manuscript
SPIE_DiClaudio_FINAL.pdf
License: CC BY-NC 4.0
File access level: Open

  • 9
    total views
  • 3
    total downloads
  • 0
    views this month
  • 0
    downloads this month

Export as

Related outputs

Preface to: EndoCV2020Computer Vision in Endoscopy
Ali, S, Daul, C, Rittscher, J, Stoyanov, D and Grisan, E (2020). Preface to: EndoCV2020Computer Vision in Endoscopy. CEUR Workshop Proceedings. 2595.
An assay system to evaluate riboflavin/UV-A corneal phototherapy efficacy in a porcine corneal organ culture model
Perazzi, A, Gomiero, C, Corain, Livio, Iacopetti, Ilaria, Grisan, Enrico, Lombardo, Marco, Lombardo, Giuseppe, Salvalaio, Gianni, Contin, Roberta, Patruno, Marco, Martinello, Tiziana and Peruffo, Antonella (2020). An assay system to evaluate riboflavin/UV-A corneal phototherapy efficacy in a porcine corneal organ culture model. Animals. 10, pp. 1-16.
An objective comparison of detection and segmentation algorithms for artefacts in clinical endoscopy
Ali, S., Zhou, F., Braden, B., Bailey, A., Yang, S., Cheng, G., Zhang, P., Li, X., Kayser, M., Soberanis-Mukul, R., Albarqouni, S., Wang, X., Wang, C., Watanabe, S., Oksuz, I., Ning, Q., Yang, S., Khan, M.A., Gao, X., Realdon, S., Loshchenov, M., Schnabel, J., East, J., Wagnieres, G., Loschenov, V., Grisan, E., Daul, C., Blondel, W. and Rittscher, J. (2020). An objective comparison of detection and segmentation algorithms for artefacts in clinical endoscopy. Scientific Reports. 10, p. 2748.
In-vivo Barretts esophagus digital pathology stage classification through feature enhancement of confocal laser endomicroscopy
Ghatwary, N, Ahmed, A, Grisan, E, Jalab, H, Bidaut, L and Ye, X (2019). In-vivo Barretts esophagus digital pathology stage classification through feature enhancement of confocal laser endomicroscopy. J Med Imaging (Bellingham). 6 (1).
Real-time diameter of the fetal aorta from ultrasound
Savioli, Nicolò, Grisan, Enrico, Visentin, Silvia, Cosmi, Erich, Montana, Giovanni and Lamata, Pablo (2019). Real-time diameter of the fetal aorta from ultrasound. Neural Computing and Applications.
Does Quantification of Carotid Plaque Surface Irregularities Better Detect Symptomatic Plaques Compared to the Subjective Classification?
Rafailidis, V., Chryssogonidis, I., Grisan, E., Xerras, C., Cheimariotis, G-A., Tegos, T., Rafailidis, D., Sidhu, P. and Charitanti-Kouridou, A. (2019). Does Quantification of Carotid Plaque Surface Irregularities Better Detect Symptomatic Plaques Compared to the Subjective Classification? Journal of Ultrasound in Medicine. 38 (12), pp. 3163-3171.
An ultrasonographic multiparametric carotid plaque risk index associated with cerebrovascular symptomatology: A study comparing color Doppler imaging and contrast-enhanced ultrasonography
Rafailidis, V., Chryssogonidis, I., Xerras, C., Grisan, E., Cheimariotis, G-A., Tegos, T., Rafailidis, P.S., Sidhu, P.S. and Charitanti-Kouridou, A. (2019). An ultrasonographic multiparametric carotid plaque risk index associated with cerebrovascular symptomatology: A study comparing color Doppler imaging and contrast-enhanced ultrasonography. American Journal of Neuroradiology. 40 (6), pp. 1022-1028.
The motor cortex of the sheep: laminar organization, projections and diffusion tensor imaging of the intracranial pyramidal and extrapyramidal tracts
Peruffo, A., Corain, L., Bombardi, C., Centelleghe, C., Grisan, E., Graïc, J-M, Bontempi, P., Grandis, A. and Cozzi, B. (2019). The motor cortex of the sheep: laminar organization, projections and diffusion tensor imaging of the intracranial pyramidal and extrapyramidal tracts. Brain Structure and Function. 224 (5), pp. 1933-1946.
Building a reduced dictionary of relevant perfusion patterns from CEUS data for the classification of testis lesions
Favaron, T., Huang, D.Y., Christensen-Jeffries, K., Eckersley, R., Sidhu, P.S. and Grisan, E. (2019). Building a reduced dictionary of relevant perfusion patterns from CEUS data for the classification of testis lesions. 2019 IEEE 16th International Symposium on Biomedical Imaging. Venice, Italy 08 - 11 Apr 2019 Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ISBI.2019.8759528
Deep Convolutional Neural Network for Survival Estimation of Amyotrophic Lateral Sclerosis patients
Grisan, E., Zandon`a, A. and Di Camillo, B. (2019). Deep Convolutional Neural Network for Survival Estimation of Amyotrophic Lateral Sclerosis patients. European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Bruges, Belgium 24 - 26 Apr 2019 i6doc.
Prediction of Adverse Glycemic Events from Continuous Glucose Monitoring Signal
Gadaleta, M., Facchinetti, A., Grisan, E. and Rossi, M. (2019). Prediction of Adverse Glycemic Events from Continuous Glucose Monitoring Signal. IEEE Journal of Biomedical and Health Informatics. 23 (2).
Sparse Image Reconstruction for Contrast Enhanced Cardiac Ultrasound using Diverging Waves
Stanziola, A., Toulemonde, M., Papadopoulou, V., Corbett, R., Duncan, N., Grisan, E. and Tang, M-X. (2019). Sparse Image Reconstruction for Contrast Enhanced Cardiac Ultrasound using Diverging Waves. IEEE International Ultrasonics Symposium 2019. Glasgow 09 2009 - 06 Oct 2019 Institute of Electrical and Electronics Engineers (IEEE).
Super resolution ultrasound image filtering with machine learning to reduce the localization error
Harput, S., Fong, L.H., Stanziola, A., Zhang, G., Toulemonde, M., Zhou, J., Christensen-Jeffries, K., Brown, J., Eckersley, R., Grisan, E., Dunsby, C. and Tang, M. (2019). Super resolution ultrasound image filtering with machine learning to reduce the localization error. IEEE International Ultrasonics Symposium 2019. Glasgow 09 2009 - 06 Oct 2019 Institute of Electrical and Electronics Engineers (IEEE).
Temporal Convolution Networks for Real-Time Abdominal Fetal Aorta Analysis with Ultrasound
Savioli, N., Visentin, S., Cosmi, E., Grisan, E., Lamata, P. and Montana, G. (2018). Temporal Convolution Networks for Real-Time Abdominal Fetal Aorta Analysis with Ultrasound. Artificial Neural Networks and Machine Learning – ICANN 2018. Rhodes, Greece 04 - 07 Oct 2018 Springer. doi:10.1007/978-3-030-01421-6_15
Quantitative imaging by pixel-based contrast-enhanced ultrasound reveals a linear relationship between synovial vascular perfusion and the recruitment of pathogenic IL-17A-F+IL-23+ CD161+ CD4+ T helper cells in psoriatic arthritis joints
Fiocco, U, Stramare, R, Martini, V, Coran, A, Caso, F, Costa, L, Felicetti, M, Rizzo, G, Tonietto, M, Scanu, A, Oliviero, F, Raffeiner, B, Vezzù, M, Lunardi, F, Scarpa, R, Sacerdoti, D, Rubaltelli, L, Punzi, L, Doria, A and Grisan, E (2017). Quantitative imaging by pixel-based contrast-enhanced ultrasound reveals a linear relationship between synovial vascular perfusion and the recruitment of pathogenic IL-17A-F+IL-23+ CD161+ CD4+ T helper cells in psoriatic arthritis joints. Clinical Rheumatology. 36 (2), pp. 391-399.
Boosting the Battery Life of Wearables for Health Monitoring Through the Compression of Biosignals
Hooshmand, M, Zordan, D, Del Testa, D, Grisan, E and Rossi, M (2017). Boosting the Battery Life of Wearables for Health Monitoring Through the Compression of Biosignals. IEEE Internet of Things Journal. 4, pp. 1647-1662.
Detection of a slow-flow component in contrast-enhanced ultrasound of the synovia for the differential diagnosis of arthritis
Rizzo, G, Tonietto, M, Castellaro, M, Raffeiner, B, Coran, A, Fiocco, U, Stramare, R and Grisan, E (2017). Detection of a slow-flow component in contrast-enhanced ultrasound of the synovia for the differential diagnosis of arthritis. SPIE Medical Imaging. Orlando, FL, USA 11 - 16 Feb 2017 SPIE. doi:10.1117/12.2250818
Improving the quantification of contrast enhanced ultrasound using a Bayesian approach
Rizzo, G, Tonietto, M, Castellaro, M, Raffeiner, B, Coran, A, Fiocco, U, Stramare, R and Grisan, E (2017). Improving the quantification of contrast enhanced ultrasound using a Bayesian approach. SPIE Medical Imaging. Orlando, FL , USA 16 2016 - 11 Feb 2017 SPIE. doi:10.1117/12.2250195
Superpixel-based classification of gastric chromoendoscopy images
Boschetto, D and Grisan, E (2017). Superpixel-based classification of gastric chromoendoscopy images. SPIE Medical Imaging. Orlando, FL, USA 11 - 16 Feb 2017 SPIE. doi:10.1117/12.2254187
Boosted learned kernels for data-driven vesselness measure
Grisan, E (2017). Boosted learned kernels for data-driven vesselness measure. Proceedings Volume 10137, Medical Imaging 2017: Biomedical Applications in Molecular, Structural, and Functional Imaging; 101370Z (2017). Orlando, FL, USA 11 - 16 Feb 2017 SPIE. doi:10.1117/12.2250370
Cortical Thickness variability in Multiple Sclerosis: The role of lesion segmentation and filling
Palombit, A, Castellaro, M, Calabrese, M, Romualdi, C, Pizzini, FB, Montemezzi, S, Grisan, E and Bertoldo, A (2017). Cortical Thickness variability in Multiple Sclerosis: The role of lesion segmentation and filling. 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017). Melbourne, VIC, Australia 18 - 21 Apr 2017 pp. 792-795 doi:10.1109/ISBI.2017.7950637
From macro to nano: Linking quantitative CEUS perfusion parameters to CD4+ T cells subtypes in spondyloarthtitis
Grisan, E, Rizzo, G, Tonietto, M, Coran, A, Raffeiner, B, Scanu, A, Martini, V, Stramare, R and Fiocco, U (2017). From macro to nano: Linking quantitative CEUS perfusion parameters to CD4+ T cells subtypes in spondyloarthtitis. 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017). Melbourne, VIC, Australia 17 - 21 Apr 2017 IEEE. pp. 899-902 doi:10.1109/ISBI.2017.7950661
Grade and location of power doppler are predictive of damage progression in rheumatoid arthritis patients in clinical remission by anti-tumour necrosis factor α
Raffeiner, B, Grisan, E, Botsios, C, Stramare, R, Rizzo, G, Bernardi, L, Punzi, L, Ometto, F and Doria, A (2017). Grade and location of power doppler are predictive of damage progression in rheumatoid arthritis patients in clinical remission by anti-tumour necrosis factor α. Rheumatology (United Kingdom). 56, pp. 1320-1325.
Bayesian Quantification of Contrast-Enhanced Ultrasound Images with Adaptive Inclusion of an Irreversible Component
Rizzo, G, Tonietto, M, Castellaro, M, Raffeiner, B, Coran, A, Fiocco, U, Stramare, R and Grisan, E (2017). Bayesian Quantification of Contrast-Enhanced Ultrasound Images with Adaptive Inclusion of an Irreversible Component. IEEE Transactions on Medical Imaging. 36, pp. 1027-1036.
Tcf7l2 plays pleiotropic roles in the control of glucose homeostasis, pancreas morphology, vascularization and regeneration
Facchinello, N, Tarifeño-Saldivia, E, Grisan, E, Schiavone, M, Peron, M, Mongera, A, Ek, O, Schmitner, N, Meyer, D, Peers, B, Tiso, N and Argenton, F (2017). Tcf7l2 plays pleiotropic roles in the control of glucose homeostasis, pancreas morphology, vascularization and regeneration. Scientific Reports. 7.
Growth abnormalities of fetuses and infants
Cosmi, E, Grisan, E, Fanos, V, Rizzo, G, Sivanandam, S and Visentin, S (2017). Growth abnormalities of fetuses and infants. BioMed Research International. 2017.
A possible new approach in the prediction of late gestational hypertension: The role of the fetal aortic intima-media thickness
Visentin, S, Londero, AP, Camerin, M, Grisan, E and Cosmi, E (2017). A possible new approach in the prediction of late gestational hypertension: The role of the fetal aortic intima-media thickness. Medicine (United States). 96.
Automatic classification of endoscopic images for premalignant conditions of the esophagus
Boschetto, D, Gambaretto, G and Grisan, E (2016). Automatic classification of endoscopic images for premalignant conditions of the esophagus. Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging. San Diego, United States 27 Feb - 03 Mar 2016 doi:10.1117/12.2216826
Superpixel-based automatic segmentation of villi in confocal endomicroscopy
Boschetto, D, Mirzaei, H, Leong, RWL and Grisan, E (2016). Superpixel-based automatic segmentation of villi in confocal endomicroscopy. 2016 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI). Las Vegas, NV, USA 24 - 27 Feb 2016 pp. 168-171 doi:10.1109/BHI.2016.7455861