A Monte Carlo based scatter removal method for non-isocentric cone-beam CT acquisitions using a deep convolutional autoencoder

Brent van der Heyden; Martin Uray; Gabriel Paiva Fonseca; Philipp Huber; Defne Us; Ivan Messner; Adam Law; Anastasiia Parii; Niklas Reisz; Ilaria Rinaldi; Gloria Vilches Freixas; Heinz Deutschmann; Frank Verhaegen; Philipp Steininger

doi:10.1088/1361-6560/ab8954

A Monte Carlo based scatter removal method for non-isocentric cone-beam CT acquisitions using a deep convolutional autoencoder

Brent van der Heyden, Martin Uray, Gabriel Paiva Fonseca, Philipp Huber, Defne Us, Ivan Messner, Adam Law, Anastasiia Parii, Niklas Reisz, Ilaria Rinaldi, Gloria Vilches Freixas, Heinz Deutschmann, Frank Verhaegen, Philipp Steininger^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › Academic › peer-review

Original language	English
Article number	145002
Number of pages	16
Journal	Physics in Medicine and Biology
Volume	65
Issue number	14
DOIs	https://doi.org/10.1088/1361-6560/ab8954
Publication status	Published - 21 Jul 2020

Keywords

cone-beam CT
artificial intelligence
scatter removal
scatter prediction
Monte Carlo
PROTON DOSE CALCULATION
FLAT-PANEL IMAGER
X-RAY TUBE
COMPUTED-TOMOGRAPHY
GENERAL FRAMEWORK
MOTION ARTIFACTS
CBCT
HEAD
FEASIBILITY
RADIATION

Access to Document

10.1088/1361-6560/ab8954

Cite this

van der Heyden, B., Uray, M., Fonseca, G. P., Huber, P., Us, D., Messner, I., Law, A., Parii, A., Reisz, N., Rinaldi, I., Freixas, G. V., Deutschmann, H., Verhaegen, F., & Steininger, P. (2020). A Monte Carlo based scatter removal method for non-isocentric cone-beam CT acquisitions using a deep convolutional autoencoder. Physics in Medicine and Biology, 65(14), [145002]. https://doi.org/10.1088/1361-6560/ab8954

van der Heyden, Brent ; Uray, Martin ; Fonseca, Gabriel Paiva ; Huber, Philipp ; Us, Defne ; Messner, Ivan ; Law, Adam ; Parii, Anastasiia ; Reisz, Niklas ; Rinaldi, Ilaria ; Freixas, Gloria Vilches ; Deutschmann, Heinz ; Verhaegen, Frank ; Steininger, Philipp. / A Monte Carlo based scatter removal method for non-isocentric cone-beam CT acquisitions using a deep convolutional autoencoder. In: Physics in Medicine and Biology. 2020 ; Vol. 65, No. 14.

@article{6415875403cc4f20ae53ee3d7e29d55a,

title = "A Monte Carlo based scatter removal method for non-isocentric cone-beam CT acquisitions using a deep convolutional autoencoder",

keywords = "cone-beam CT, artificial intelligence, scatter removal, scatter prediction, Monte Carlo, PROTON DOSE CALCULATION, FLAT-PANEL IMAGER, X-RAY TUBE, COMPUTED-TOMOGRAPHY, GENERAL FRAMEWORK, MOTION ARTIFACTS, CBCT, HEAD, FEASIBILITY, RADIATION",

author = "{van der Heyden}, Brent and Martin Uray and Fonseca, {Gabriel Paiva} and Philipp Huber and Defne Us and Ivan Messner and Adam Law and Anastasiia Parii and Niklas Reisz and Ilaria Rinaldi and Freixas, {Gloria Vilches} and Heinz Deutschmann and Frank Verhaegen and Philipp Steininger",

year = "2020",

month = jul,

day = "21",

doi = "10.1088/1361-6560/ab8954",

language = "English",

volume = "65",

journal = "Physics in Medicine and Biology",

issn = "0031-9155",

publisher = "IOP Publishing Ltd.",

number = "14",

}

van der Heyden, B, Uray, M, Fonseca, GP, Huber, P, Us, D, Messner, I, Law, A, Parii, A, Reisz, N, Rinaldi, I, Freixas, GV, Deutschmann, H, Verhaegen, F & Steininger, P 2020, 'A Monte Carlo based scatter removal method for non-isocentric cone-beam CT acquisitions using a deep convolutional autoencoder', Physics in Medicine and Biology, vol. 65, no. 14, 145002. https://doi.org/10.1088/1361-6560/ab8954

A Monte Carlo based scatter removal method for non-isocentric cone-beam CT acquisitions using a deep convolutional autoencoder. / van der Heyden, Brent; Uray, Martin; Fonseca, Gabriel Paiva; Huber, Philipp; Us, Defne; Messner, Ivan; Law, Adam; Parii, Anastasiia; Reisz, Niklas; Rinaldi, Ilaria; Freixas, Gloria Vilches; Deutschmann, Heinz; Verhaegen, Frank; Steininger, Philipp.

In: Physics in Medicine and Biology, Vol. 65, No. 14, 145002, 21.07.2020.

Research output: Contribution to journal › Article › Academic › peer-review

TY - JOUR

T1 - A Monte Carlo based scatter removal method for non-isocentric cone-beam CT acquisitions using a deep convolutional autoencoder

AU - van der Heyden, Brent

AU - Uray, Martin

AU - Fonseca, Gabriel Paiva

AU - Huber, Philipp

AU - Us, Defne

AU - Messner, Ivan

AU - Law, Adam

AU - Parii, Anastasiia

AU - Reisz, Niklas

AU - Rinaldi, Ilaria

AU - Freixas, Gloria Vilches

AU - Deutschmann, Heinz

AU - Verhaegen, Frank

AU - Steininger, Philipp

PY - 2020/7/21

Y1 - 2020/7/21

KW - cone-beam CT

KW - artificial intelligence

KW - scatter removal

KW - scatter prediction

KW - Monte Carlo

KW - PROTON DOSE CALCULATION

KW - FLAT-PANEL IMAGER

KW - X-RAY TUBE

KW - COMPUTED-TOMOGRAPHY

KW - GENERAL FRAMEWORK

KW - MOTION ARTIFACTS

KW - CBCT

KW - HEAD

KW - FEASIBILITY

KW - RADIATION

U2 - 10.1088/1361-6560/ab8954

DO - 10.1088/1361-6560/ab8954

M3 - Article

C2 - 32294626

VL - 65

JO - Physics in Medicine and Biology

JF - Physics in Medicine and Biology

SN - 0031-9155

IS - 14

M1 - 145002

ER -