3D PET image reconstruction based on the maximum likelihood estimation method (MLEM) algorithm

• Autorzy: Słomski A. , Rudy Z. , Bednarski T. , Białas P. , Czerwiński E. , Kapłon Ł. , Kochanowski A. , Korcyl G. , Kowal J. , Kowalski P. , Kozik T. , Krzemień W. , Molenda M. , Moskal P. , Niedźwiecki S. , Pałka M. , Pawlik M. , Raczyński L. , Salabura P. , Gupta-Sharma N. , Silarski M. , Smyrski J. , Strzelecki A. , Wiślicki W. , Zieliński M , Zoń N.
• Języki publikacji: EN

Abstrakty

EN

A positron emission tomography (PET) scan does not measure an image directly. Instead, a PET scan measures a sinogram at the boundary of the field-of-view that consists of measurements of the sums of all the counts along the lines connecting the two detectors. Because there is a multitude of detectors built in a typical PET structure, there are many possible detector pairs that pertain to the measurement. The problem is how to turn this measurement into an image (this is called imaging). Significant improvement in PET image quality was achieved with the introduction of iterative reconstruction techniques. This was realized approximately 20 years ago (with the advent of new powerful computing processors). However, three-dimensional imaging still remains a challenge. The purpose of the image reconstruction algorithm is to process this imperfect count data for a large number (many millions) of lines of response and millions of detected photons to produce an image showing the distribution of the labeled molecules in space.

Słowa kluczowe

EN

image reconstruction; positron emission tomography

• Wydawca: Uniwersytet Jagielloński - Collegium Medicum ; Index Copernicus Sp. z o.o.
• Czasopismo: Bio-Algorithms and Med-Systems
• Rocznik: 2014
• Tom: Vol. 10, no. 1
• Strony: 1--7
• Opis fizyczny: Bibliogr. 6 poz., rys., wykr.

Twórcy

autor

Słomski A.

• Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University, Kraków, Poland

autor

Rudy Z.

• Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University, Kraków, Poland

autor

Bednarski T.

• Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University, Kraków, Poland

autor

Białas P.

• Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University, Kraków, Poland

autor

Czerwiński E.

• Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University, Kraków, Poland

autor

Kapłon Ł.

• Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University, Kraków, Poland
• Faculty of Chemistry, Jagiellonian University, Kraków, Poland

autor

Kochanowski A.

• Faculty of Chemistry, Jagiellonian University, Kraków, Poland

autor

Korcyl G.

• Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University, Kraków, Poland

autor

Kowal J.

• Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University, Kraków, Poland

autor

Kowalski P.

• Swierk Computing Centre, National Centre for Nuclear Research, Otwock-Swierk, Poland

autor

Kozik T.

• Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University, Kraków, Poland

autor

Krzemień W.

• Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University, Kraków, Poland

autor

Molenda M.

• Faculty of Chemistry, Jagiellonian University, Kraków, Poland

autor

Moskal P.

• Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University, Kraków, Poland

autor

Niedźwiecki S.

• Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University, Kraków, Poland

autor

Pałka M.

• Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University, Kraków, Poland

autor

Pawlik M.

• Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University, Kraków, Poland

autor

Raczyński L.

• Swierk Computing Centre, National Centre for Nuclear Research, Otwock-Swierk, Poland

autor

Salabura P.

• Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University, Kraków, Poland

autor

Gupta-Sharma N.

• Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University, Kraków, Poland

autor

Silarski M.

• Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University, Kraków, Poland

autor

Smyrski J.

• Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University, Kraków, Poland

autor

Strzelecki A.

• Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University, Kraków, Poland

autor

Wiślicki W.

• Swierk Computing Centre, National Centre for Nuclear Research, Otwock-Swierk, Poland

autor

Zieliński M

• Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University, Kraków, Poland

autor

Zoń N.

• Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University, Kraków, Poland

Bibliografia

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• 2. Herman GT. Image reconstruction from projections. New York: Academic Press, 1980.
• 3. Smith KT, Keinert F. Mathematical foundations of computed tomography. Appl Optics 1985:24:3950-7.
• 4. Parra L, Barrett H. List mode likelihood: EM algorithm and image quality estimation demonstrated on 2D PET. IEEE Trans Med Imag 1998:17:228-35.
• 5. Yokoi T, Shinohara H, Hashimoto T, Yamamoto T, Niio Y. Proceedings of the Second International Workshop on E6S, 8-12 August 2000, Tsukuba, Japan. KEK Proc 2000;20:224-34.
• 6. Wang ZA, Bovik C, Sheikh HR, Simoncelli EP. Image quality assessment: from error visibility to structural similarity. IEEE Trans Image Process 2004;16:600-12.