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

Wyniki badań: Rozdział w książce/raport/materiał konferencyjny › Wkład w konferencję › recenzja

4 Cytowania z bazy Scopus

Abstrakt

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.

Język oryginału	angielski
Tytuł publikacji goszczącej	Bioinformatics and Biomedical Engineering - 3rd International Conference, IWBBIO 2015, Proceedings
Redaktorzy	Francisco Ortuño, Ignacio Rojas
Wydawca	Springer Verlag
Strony	274-281
Liczba stron	8
ISBN (drukowany)	9783319164823
Identyfikatory DOI	https://doi.org/10.1007/978-3-319-16483-0_28
Status publikacji	Opublikowano - 2015
Wydarzenie	3rd International Work Conference on Bioinformatics and Biomedical Engineering, IWBBIO 2015 - Granada, Hiszpania Czas trwania: 15 kwi 2015 → 17 kwi 2015

Seria publikacji

Nazwa	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Tom	9043
ISSN (drukowany)	0302-9743
ISSN (elektroniczny)	1611-3349

Konferencja

Konferencja	3rd International Work Conference on Bioinformatics and Biomedical Engineering, IWBBIO 2015
Kraj/Terytorium	Hiszpania
Miejscowość	Granada
Okres	15/04/15 → 17/04/15

Obszary tematyczne ASJC Scopus

Informatyka teoretyczna
Informatyka ogólna

Uzyskaj dostęp do dokumentu

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

Inne pliki i linki

Link do publikacji w Scopus

Cytowanie

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

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

@inproceedings{09c69c325bb84e4f9707de522d59faa1,

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",

pages = "274--281",

editor = "Francisco Ortu{\~n}o and Ignacio Rojas",

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. w F Ortuño & I Rojas (red), 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), tom 9043, Springer Verlag, str. 274-281, 3rd International Work Conference on Bioinformatics and Biomedical Engineering, IWBBIO 2015, Granada, Hiszpania, 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 i in.
Bioinformatics and Biomedical Engineering - 3rd International Conference, IWBBIO 2015, Proceedings. red. / Francisco Ortuño; Ignacio Rojas. Springer Verlag, 2015. str. 274-281 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Tom 9043).

Wyniki badań: Rozdział w książce/raport/materiał konferencyjny › Wkład w konferencję › recenzja

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. W Ortuño F, Rojas I, redaktorzy, Bioinformatics and Biomedical Engineering - 3rd International Conference, IWBBIO 2015, Proceedings. Springer Verlag. 2015. str. 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

Abstrakt

Seria publikacji

Konferencja

Obszary tematyczne ASJC Scopus

Uzyskaj dostęp do dokumentu

Inne pliki i linki

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Cytowanie