nach oben

The Journal of Supercomputing

Erschienen in:

20.07.2016

Integrating 3D image descriptors of margin sharpness and texture on a GPU-optimized similar pulmonary nodule retrieval engine

verfasst von: José Raniery Ferreira Junior, Marcelo Costa Oliveira, Paulo Mazzoncini de Azevedo-Marques

Erschienen in: The Journal of Supercomputing | Ausgabe 8/2017

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

Due to the difficulty to diagnose lung cancer, it is important to integrate content-based image retrieval methods with the pulmonary nodule classification process, since they are capable of retrieving similar cases from large image databases that were previously diagnosed. The goal of this paper is to evaluate an integrated image feature vector, composed of 3D attributes of margin sharpness and texture, on similar pulmonary nodule retrieval, and to optimize the runtime of nodule comparison process with a graphics processing unit (GPU). Retrieval efficiency was evaluated on the ten most similar cases, on different multiprocessor architectures. Results showed that integrated attributes obtained higher efficiency on similar nodule retrieval, with an increase of up to 2.6 percentage points compared to isolated margin sharpness and texture descriptors. Results also showed that GPU increased nodule retrieval performance with a speedup of 23.7\(\times \) on nodule comparison runtime.

Vorheriger Artikel G-IK-SVD: parallel IK-SVD on GPUs for sparse representation of spatial big data

Nächster Artikel JACK: an asynchronous communication kernel library for iterative algorithms

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Aerts HJ, Velazquez ER, Leijenaar RT, Parmar C, Grossmann P, Carvalho S, Bussink J, Monshouwer R, Haibe-Kains B, Rietveld D et al (2014) Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach. Nat Commun 5:4006

Akgül CB, Rubin DL, Napel S, Beaulieu CF, Greenspan H, Acar B (2011) Content-based image retrieval in radiology: current status and future directions. J Digit Imag 24(2):208–222CrossRef

Armato SG III, Mclennan G, Bidaut L, Mcnitt-gray MF, Meyer CR, Reeves AP, Zhao B, Aberle DR, Henschke CI, Hoffman EA, Kazerooni EA, Macmahon H, Beek EJRV, Yankelevitz D, Biancardi AM, Bland PH, Brown MS (2011) The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): a completed reference database of lung nodules on CT scans. Med Phys 38:915–931CrossRef

Bedo MVN, Santos DP, Ponciano-Silva M, Azevedo-Marques PM, Carvalho APLF, Traina-Junior C (2016) Endowing a content-based medical image retrieval system with perceptual similarity using ensemble strategy. J Digit Imag 29(1):22–37

Bugatti PH, Kaster DS, Ponciano-Silva M, Traina C Jr, Azevedo-Marques PM, Traina AJ (2014) PRoSPer: perceptual similarity queries in medical CBIR systems through user profiles. Comput Biol Med 45:8–19CrossRef

Choi WJ, Choi TS (2014) Automated pulmonary nodule detection based on three-dimensional shape-based feature descriptor. Comput Meth Progr Biomed 113(1):37–54CrossRef

Doi K (2007) Computer-aided diagnosis in medical imaging: historical review, current status and future potential. Comput Med Imag Graph 31(4–5):198–211CrossRef

Ferreira Jr JR, Oliveira MC (2015) Cloud-based NoSQL open database of pulmonary nodules for computer-aided lung cancer diagnosis and reproducible research. In: Proceedings of the 2015 annual meeting of the society for imaging informatics in medicine (SIIM), pp 1–4

Ferreira Jr JR, Oliveira MC (2015) GPU-optimized pulmonary nodule retrieval based on 3D margin sharpness descriptors. In: Proceedings of XI workshop de Visão computacional (WVC), pp 182–187

10.

Ghoneim DM, Toussaint G, Constans JM, de Certaines JD (2003) Three dimensional texture analysis in MRI: a preliminary evaluation in gliomas. Magnet Reson Imag 21(9):983–987CrossRef

11.

Haralick RM, Shanmugam K, Dinstein IH (1973) Textural features for image classification. IEEE Trans Syst Man Cybern 6:610–621CrossRef

12.

Jayalakshmi T, Santhakumaran A (2011) Statistical normalization and back propagation for classification. Int J Comput Theory Eng 3(1):1793–8201

13.

Kirk DB, Wen-mei WH (2010) Programming massively parallel processors: a hands-on approach. Morgan Kaufmann, USA

14.

Lam M, Disney T, Pham M, Raicu D, Furst J, Susomboon R (2007) Content-based image retrieval for pulmonary computed tomography nodule images. Med Imag 6516:65,160N–65,160N-12CrossRef

15.

Lam MO, Disney T, Raicu DS, Furst J, Channin DS (2007) BRISC—an open source pulmonary nodule image retrieval framework. J Digit Imag 20(1):63–71CrossRef

16.

Levman JE, Martel AL (2011) A margin sharpness measurement for the diagnosis of breast cancer from magnetic resonance imaging examinations. Acad Radiol 18(12):1577–1581CrossRef

17.

Liu L (2013) Computing infrastructure for big data processing. Front Comput Sci 7(2):165–170MathSciNetCrossRef

18.

Mehdi A, Vassili K, Eduard S, Vahid T (2014) A comprehensive framework for automatic detection of pulmonary nodules in lung CT images. Image Anal Stereol 33(1):13–27CrossRef

19.

Montagnat J, Breton V, Magnin I et al (2003) Using grid technologies to face medical image analysis challenges. In: Proceedings of the first international workshop on biomedical computations on the grid (BioGrid), pp 588–593

20.

Müller H, Müller W, Squire DM, Marchand-Maillet S, Pun T (2001) Performance evaluation in content-based image retrieval: overview and proposals. Pattern Recognit Lett 22(5):593–601CrossRefMATH

21.

Ng G, Song Y, Cai W, Zhou Y, Liu S, Dagan Feng D (2014) Hierarchical and binary spatial descriptors for lung nodule image retrieval. In: 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE EMBC), pp 6463–6466

22.

Oliveira MC, Cirne W, Azevedo-Marques PM (2007) Towards applying content-based image retrieval in the clinical routine. Future Gener Comput Syst 23(3):466–474CrossRef

23.

Oliveira MC, Ferreira JR (2013) A bag-of-tasks approach to speed up the lung nodules retrieval in the bigdata age. In: Proceedings of the 15th IEEE International Conference on E-health Networking, Application & Services (IEEE HealthCom), pp 632–636

24.

Pacheco P (2011) An introduction to parallel programming. Elsevier, Amsterdam

25.

Prochazka F, Oliveira MC (2012) Aplicabilidade de GPUs de baixo custo na otimização da análise de similaridade de imagens. In: Proceedings of the XXV Conference on Graphics, Patterns and Images (SIBGRAPI), pp 18–23

26.

Silva MPd, Souza JP, Bugatti PH, Bedo MV, Kaster DS, Braga RT, Bellucci AD, Azevedo-Marques PM, Traina C, Traina AJ (2013) Does a CBIR system really impact decisions of physicians in a clinical environment? In: Proceedings of 26th IEEE international symposium on computer-based medical systems (IEEE CBMS), pp 41–46

27.

Traina AJ, Balan AG, Bortolotti LM, Traina C (2004) Content-based image retrieval using approximate shape of objects. In: Proceedings of the 17th IEEE international symposium on computer-based medical systems (IEEE CBMS), pp 91–96

28.

Truong MT, Ko JP, Rossi SE, Rossi I, Viswanathan C, Bruzzi JF, Marom EM, Erasmus JJ (2014) Update in the evaluation of the solitary pulmonary nodule. Radiographics 34(6):1658–1679CrossRef

29.

Tsymbal A, Meissner E, Kelm M, Kramer M (2014) Towards cloud-based image-integrated similarity search in big data. In: Proceedings of the 2014 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI), pp 593–596

30.

Xu J, Napel S, Greenspan H, Beaulieu CF, Agrawal N, Rubin D (2012) Quantifying the margin sharpness of lesions on radiological images for content-based image retrieval. Med. Phys. 39:5405–5418CrossRef

31.

Yadav K, Mittal A, Ansari M, Vishwarup V (2012) Parallel implementation of similarity measures on GPU architecture using CUDA. Ind J Comput Sci Eng 3(1):1–9

32.

Zhang X, Liu W, Dundar M, Badve S, Zhang S (2015) Towards large-scale histopathological image analysis: hashing-based image retrieval. IEEE Trans Med Imag 34(2):496–506

Titel: Integrating 3D image descriptors of margin sharpness and texture on a GPU-optimized similar pulmonary nodule retrieval engine
verfasst von: José Raniery Ferreira Junior
Marcelo Costa Oliveira
Paulo Mazzoncini de Azevedo-Marques
Publikationsdatum: 20.07.2016
Verlag: Springer US
Erschienen in: The Journal of Supercomputing / Ausgabe 8/2017
Print ISSN: 0920-8542
Elektronische ISSN: 1573-0484
DOI: https://doi.org/10.1007/s11227-016-1818-4

Springer Professional

Abstract

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft"

Springer Professional "Technik"

Springer Professional "Wirtschaft+Technik"

Weitere Artikel der Ausgabe 8/2017

Embedded multi-core computing and applications

JACK: an asynchronous communication kernel library for iterative algorithms

Supporting high-quality video streaming with SDN-based CDNs

Passive secret disclosure attack on an ultralightweight authentication protocol for Internet of Things

Shared write buffer to boost applications on SpMT architecture

KTS: a real-time mapping algorithm for NoC-based many-cores