Automatic segmentation system of emission tomography data based on classification system

Sebastian Student; Marta Danch-Wierzchowska; Kamil Gorczewski; Damian Borys

doi:10.1007/978-3-319-16483-0_28

Automatic segmentation system of emission tomography data based on classification system

Sebastian Student
, Marta Danch-Wierzchowska
, Kamil Gorczewski
, Damian Borys

Maria Sklodowska-Curie Institute of Oncology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Citations (Scopus)

Abstract

Segmentation and delineation of tumour boundaries are important and difficult step in emission tomography imaging, where acquired and reconstructed images presents large noise and a blurring level. Several methods have been previously proposed and can be used in single photon emission tomography (SPECT) or positron emission tomography (PET) imaging. Some of them relies on the standard uptake value (SUV) used in PET imaging. Presented approach can be used in both (SPECT and PET) modalities and it is based on support vector machines (SVM) classification system. System has been tested on standard phantom, widely used for testing the emission tomography devices. Results are presented for two classifiers SVM and DLDA.

Original language	English
Title of host publication	Bioinformatics and Biomedical Engineering - 3rd International Conference, IWBBIO 2015, Proceedings
Editors	Francisco Ortuño, Ignacio Rojas
Publisher	Springer Verlag
Pages	274-281
Number of pages	8
ISBN (Print)	9783319164823
DOIs	https://doi.org/10.1007/978-3-319-16483-0_28
Publication status	Published - 2015
Event	3rd International Work Conference on Bioinformatics and Biomedical Engineering, IWBBIO 2015 - Granada, Spain Duration: 15 Apr 2015 → 17 Apr 2015

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	9043
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	3rd International Work Conference on Bioinformatics and Biomedical Engineering, IWBBIO 2015
Country/Territory	Spain
City	Granada
Period	15/04/15 → 17/04/15

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

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10.1007/978-3-319-16483-0_28

Cite this

Student, S., Danch-Wierzchowska, M., Gorczewski, K., & Borys, D. (2015). Automatic segmentation system of emission tomography data based on classification system. In F. Ortuño, & I. Rojas (Eds.), Bioinformatics and Biomedical Engineering - 3rd International Conference, IWBBIO 2015, Proceedings (pp. 274-281). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9043). Springer Verlag. https://doi.org/10.1007/978-3-319-16483-0_28

Student, Sebastian ; Danch-Wierzchowska, Marta ; Gorczewski, Kamil et al. / Automatic segmentation system of emission tomography data based on classification system. Bioinformatics and Biomedical Engineering - 3rd International Conference, IWBBIO 2015, Proceedings. editor / Francisco Ortuño ; Ignacio Rojas. Springer Verlag, 2015. pp. 274-281 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Automatic segmentation system of emission tomography data based on classification system",

abstract = "Segmentation and delineation of tumour boundaries are important and difficult step in emission tomography imaging, where acquired and reconstructed images presents large noise and a blurring level. Several methods have been previously proposed and can be used in single photon emission tomography (SPECT) or positron emission tomography (PET) imaging. Some of them relies on the standard uptake value (SUV) used in PET imaging. Presented approach can be used in both (SPECT and PET) modalities and it is based on support vector machines (SVM) classification system. System has been tested on standard phantom, widely used for testing the emission tomography devices. Results are presented for two classifiers SVM and DLDA.",

author = "Sebastian Student and Marta Danch-Wierzchowska and Kamil Gorczewski and Damian Borys",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2015.; 3rd International Work Conference on Bioinformatics and Biomedical Engineering, IWBBIO 2015 ; Conference date: 15-04-2015 Through 17-04-2015",

year = "2015",

doi = "10.1007/978-3-319-16483-0\_28",

language = "English",

isbn = "9783319164823",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

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booktitle = "Bioinformatics and Biomedical Engineering - 3rd International Conference, IWBBIO 2015, Proceedings",

address = "Germany",

}

Student, S, Danch-Wierzchowska, M, Gorczewski, K & Borys, D 2015, Automatic segmentation system of emission tomography data based on classification system. in F Ortuño & I Rojas (eds), Bioinformatics and Biomedical Engineering - 3rd International Conference, IWBBIO 2015, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9043, Springer Verlag, pp. 274-281, 3rd International Work Conference on Bioinformatics and Biomedical Engineering, IWBBIO 2015, Granada, Spain, 15/04/15. https://doi.org/10.1007/978-3-319-16483-0_28

Automatic segmentation system of emission tomography data based on classification system. / Student, Sebastian; Danch-Wierzchowska, Marta; Gorczewski, Kamil et al.
Bioinformatics and Biomedical Engineering - 3rd International Conference, IWBBIO 2015, Proceedings. ed. / Francisco Ortuño; Ignacio Rojas. Springer Verlag, 2015. p. 274-281 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9043).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Automatic segmentation system of emission tomography data based on classification system

AU - Student, Sebastian

AU - Danch-Wierzchowska, Marta

AU - Gorczewski, Kamil

AU - Borys, Damian

PY - 2015

Y1 - 2015

N2 - Segmentation and delineation of tumour boundaries are important and difficult step in emission tomography imaging, where acquired and reconstructed images presents large noise and a blurring level. Several methods have been previously proposed and can be used in single photon emission tomography (SPECT) or positron emission tomography (PET) imaging. Some of them relies on the standard uptake value (SUV) used in PET imaging. Presented approach can be used in both (SPECT and PET) modalities and it is based on support vector machines (SVM) classification system. System has been tested on standard phantom, widely used for testing the emission tomography devices. Results are presented for two classifiers SVM and DLDA.

AB - Segmentation and delineation of tumour boundaries are important and difficult step in emission tomography imaging, where acquired and reconstructed images presents large noise and a blurring level. Several methods have been previously proposed and can be used in single photon emission tomography (SPECT) or positron emission tomography (PET) imaging. Some of them relies on the standard uptake value (SUV) used in PET imaging. Presented approach can be used in both (SPECT and PET) modalities and it is based on support vector machines (SVM) classification system. System has been tested on standard phantom, widely used for testing the emission tomography devices. Results are presented for two classifiers SVM and DLDA.

UR - https://www.scopus.com/pages/publications/84944474762

U2 - 10.1007/978-3-319-16483-0_28

DO - 10.1007/978-3-319-16483-0_28

M3 - Conference contribution

AN - SCOPUS:84944474762

SN - 9783319164823

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

SP - 274

EP - 281

BT - Bioinformatics and Biomedical Engineering - 3rd International Conference, IWBBIO 2015, Proceedings

A2 - Ortuño, Francisco

A2 - Rojas, Ignacio

PB - Springer Verlag

T2 - 3rd International Work Conference on Bioinformatics and Biomedical Engineering, IWBBIO 2015

Y2 - 15 April 2015 through 17 April 2015

ER -

Student S, Danch-Wierzchowska M, Gorczewski K, Borys D. Automatic segmentation system of emission tomography data based on classification system. In Ortuño F, Rojas I, editors, Bioinformatics and Biomedical Engineering - 3rd International Conference, IWBBIO 2015, Proceedings. Springer Verlag. 2015. p. 274-281. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-16483-0_28

Automatic segmentation system of emission tomography data based on classification system

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