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English
Umeå universitet
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Tufve Nyholm

PhD in Radiation Physics in 2009 and professor in 2018. The PhD thesis was focused on algorithms for dose calculations and quality assurance aspects on external radiotherapy. This work is partly the basis for the EqualDose software.

Currently, my main area of research is MRI in cancer care, including both integration of MR in the radiotherapy workflow and use of MR techniques for early assessment of treatment response.

Forskningsledare

Tufve Nyholm Professor, sjukhusfysiker
E-post
E-post
Telefon
090-786 72 92
Bildgivande metoder för förbättrad strålbehandling
Bildgivande metoder för förbättrad strålbehandling

Tufve Nyholms forskning handlar om metod- och teknikutveckling inom strålterapi.

52 VR-miljoner till forskning inom naturvetenskap och teknik
52 VR-miljoner till forskning inom naturvetenskap och teknik

Vetenskapsrådet delar ut nära 52 miljoner till projekt inom naturvetenskap och teknikvetenskap.

Publikationer

2019
A constrained singular value decomposition method that integrates sparsity and orthogonality
PLoS ONE, Vol. 14, (3)
Guillemot, Vincent; Beaton, Derek; Gloaguen, Arnaud; et al.
2019
Attenuation correction of a flat table top for radiation therapy in hybrid PET/MR using CT- and Ge-68/Ga-68 transmission scan-based mu-maps
Physica medica (Testo stampato), ELSEVIER SCI LTD 2019, Vol. 65 : 76-83
Witoszynskyj, Stephan; Andrzejewski, Piotr; Georg, Dietmar; et al.
2019
Bayesian sparsity estimation in compressive sensing with application to MR images
Communications in Statistics: Case Studies, Data Analysis and Applications, Taylor & Francis Group 2019, Vol. 5, (4) : 415-431
Wang, Jianfeng; Zhou, Zhiyong; Garpebring, Anders; et al.
2019
Dosimetric Impact of MRI Distortions: A Study on Head and Neck Cancers
International Journal of Radiation Oncology, Biology, Physics, Elsevier 2019, Vol. 103, (4) : 994-1003
Adjeiwaah, Mary; Bylund, Mikael; Lundman, Josef A.; et al.
2019
Early changes in multiparametric imaging parameters during radiotherapy of squamous carcinoma
Radiotherapy and Oncology, Elsevier 2019, Vol. 132 : 63-63
Zborayova, Katarina; Antti, Henrik; Blomqvist, L.; et al.
2019
Evaluating different generator networks of a conditional generative adversarial network
Radiotherapy and Oncology, Elsevier 2019, Vol. 133 : S555-S555
Fetty, L.; Kuess, P.; Nesvacil, N.; et al.
2019
Gray-level invariant Haralick texture features
PLoS ONE, Public Library of Science 2019, Vol. 14, (2)
Löfstedt, Tommy; Brynolfsson, Patrik; Nyholm, Tufve; et al.
2019
Impact of androgen deprivation therapy on apparent diffusion coefficient and T2w MRI for histogram and texture analysis with respect to focal radiotherapy of prostate cancer
Strahlentherapie und Onkologie (Print), Springer Berlin/Heidelberg 2019, Vol. 195, (5) : 402-411
Daniel, M.; Kuess, P.; Andrzejewski, P.; et al.
2018
Children's experiences and responses towards an intervention for psychological preparation for radiotherapy
Radiation Oncology, BioMed Central 2018, Vol. 13
Engvall, Gunn; Lindh, Viveca; Mullaney, Tara; et al.
2018
Continuation of Nesterov's Smoothing for Regression With Structured Sparsity in High-Dimensional Neuroimaging
IEEE Transactions on Medical Imaging, IEEE 2018, Vol. 37, (11) : 2403-2413
Hadj-Selem, Fouad; Löfstedt, Tommy; Dohmatob, Elvis; et al.