Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Mikael Bylund"'
Autor:
Attila Simkó, Mikael Bylund, Gustav Jönsson, Tommy Löfstedt, Anders Garpebring, Tufve Nyholm, Joakim Jonsson
Publikováno v:
Zeitschrift für Medizinische Physik, Vol 34, Iss 2, Pp 270-277 (2024)
The use of synthetic CT (sCT) in the radiotherapy workflow would reduce costs and scan time while removing the uncertainties around working with both MR and CT modalities. The performance of deep learning (DL) solutions for sCT generation is steadily
Externí odkaz:
https://doaj.org/article/f8b8eba5218f4a42988397a4996bad01
Autor:
Attila Simkó, Simone Ruiter, Tommy Löfstedt, Anders Garpebring, Tufve Nyholm, Mikael Bylund, Joakim Jonsson
Publikováno v:
BMC Medical Imaging, Vol 23, Iss 1, Pp 1-14 (2023)
Abstract Purpose During the acquisition of MRI data, patient-, sequence-, or hardware-related factors can introduce artefacts that degrade image quality. Four of the most significant tasks for improving MRI image quality have been bias field correcti
Externí odkaz:
https://doaj.org/article/0c047134c4ed442fa550431ceecaf445
Autor:
Josef Axel Lundman, Mikael Bylund, Anders Garpebring, Camilla Thellenberg Karlsson, Tufve Nyholm
Publikováno v:
Physics and Imaging in Radiation Oncology, Vol 1, Iss , Pp 41-45 (2017)
Background and purpose: A fundamental requirement for safe use of magnetic resonance imaging (MRI) in radiotherapy is geometrical accuracy. One factor that can introduce geometrical distortion is patient-induced susceptibility effects. This work aims
Externí odkaz:
https://doaj.org/article/71a2a394352d4733b21dfbe0135830ec
Autor:
G. Heilemann, Tommy Löfstedt, Mikael Bylund, Dietmar Georg, Peter Kuess, Tufve Nyholm, L. Fetty
Introduction This paper explores the potential of the StyleGAN model as an high-resolution image generator for synthetic medical images. The possibility to generate sample patient images of different modalities can be helpful for training deep learni
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::42dabda850af64a42ddb8b1e2d181334
http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-177508
http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-177508
Purpose. To develop a method that can reduce and estimate uncertainty in quantitative MR parameter maps without the need for hand-tuning of any hyperparameters. Methods. We present an estimation method where uncertainties are reduced by incorporating
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b487cd201ba2a1d73d53995b4986b867
http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-177258
http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-177258
Autor:
Mikael Bylund, Anders Garpebring, Josef A. Lundman, Camilla Thellenberg Karlsson, Tufve Nyholm
Publikováno v:
Physics and Imaging in Radiation Oncology, Vol 1, Iss, Pp 41-45 (2017)
Background and purpose: A fundamental requirement for safe use of magnetic resonance imaging (MRI) in radiotherapy is geometrical accuracy. One factor that can introduce geometrical distortion is patient-induced susceptibility effects. This work aims
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cb9e994d0364fde66a726917b22f1a88
http://www.sciencedirect.com/science/article/pii/S2405631616300124
http://www.sciencedirect.com/science/article/pii/S2405631616300124
Autor:
L. Fetty, Mikael Bylund, G. Heilemann, Dietmar Georg, Peter Kuess, Tufve Nyholm, Tommy Löfstedt
Publikováno v:
Radiotherapy and Oncology. 152:S981-S982
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2d0da4676a00758e972a174680f3c31f
https://doi.org/10.1016/s0167-8140(21)01781-3
https://doi.org/10.1016/s0167-8140(21)01781-3
Autor:
Josef A. Lundman, Tufve Nyholm, Anders Garpebring, Mikael Bylund, Joakim Jonsson, Karin Söderström, Mary Adjeiwaah, Björn Zackrisson
Purpose: To evaluate the effect of magnetic resonance (MR) imaging (MRI) geometric distortions on head and neck radiation therapy treatment planning (RTP) for an MRI-only RTP. We also assessed the potential benefits of patient-specific shimming to re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c07a8d9cd12455b06ce816bf0c37c7ef
http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-157192
http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-157192
Autor:
Mikael Bylund, Camilla Thellenberg Karlsson, Josef A. Lundman, Joakim Jonsson, Tufve Nyholm, Mary Adjeiwaah
Purpose: To investigate the effect of magnetic resonance system- and patient-induced susceptibility distortions from a 3T scanner on dose distributions for prostate cancers. Methods and Materials: Combined displacement fields from the residual system
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::53cee44cb7ab3627fbda9008a9573ce1
http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-343785
http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-343785
Autor:
Josef A. Lundman, C. Cozzini, Sangtae Ahn, Joakim Jonsson, Mikael Bylund, Tufve Nyholm, Jaewon Yang, Sandeep Kaushik, Dattesh Dayanand Shanbhag, Florian Wiesinger, Thomas A. Hope, Peder E. Z. Larson
Publikováno v:
Magnetic resonance in medicine. 80(4)
To describe a method for converting Zero TE (ZTE) MR images into X-ray attenuation information in the form of pseudo-CT images and demonstrate its performance for (1) attenuation correction (AC) in PET/MR and (2) dose planning in MR-guided radiation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ab1a74da48a1d41662b3597344cc0c8a
https://pubmed.ncbi.nlm.nih.gov/29457287
https://pubmed.ncbi.nlm.nih.gov/29457287