Johan Berglund
Docent vid Institutionen för kirurgiska vetenskaper; Molekylär avbildning och medicinsk fysik
- Mobiltelefon:
- 072-201 05 89
- E-post:
- johan.berglund@uu.se
- Besöksadress:
- Magnetkameran
Akademiska sjukhuset ,ing 108
75185 Uppsala - Postadress:
- Medicinsk fysik
Akademiska sjukhuset, Ing 100,1 tr
75185 Uppsala
- Akademiska meriter:
- civ.ing. M.Sc. in Engineering Physics, Ph.D. in Medical Sciences, Docent in Medical Physics
- CV:
- Ladda ned CV
Mer information visas för dig som medarbetare om du loggar in.
Kort presentation
Johan Berglund är docent i medicinsk fysik med inriktning på magnetkamerans fysik (MR). Han forskar inom metodutveckling av radiologisk bildtagning med magnetkamera, med särskilt fokus på rörelsekorrektion, fett/vatten-separation (Dixon-metoden) och MR-hjärta. Han undervisar MR-fysik för studenter med såväl medicinsk som teknisk bakgrund, samt kliniskt verksam personal.
Nyckelord
- cardiac imaging
- medical physics
- mri
- radiology
Publikationer
Senaste publikationer
- NeuroMix-A single-scan brain exam (2022)
- Control of a wireless sensor using the pulse sequence for prospective motion correction in brain MRI. (2022)
- Motion-insensitive susceptibility weighted imaging. (2021)
- Prospective motion correction for diffusion weighted EPI of the brain using an optical markerless tracker. (2021)
- T1 -FLAIR imaging during continuous head motion (2021)
Alla publikationer
Artiklar
- NeuroMix-A single-scan brain exam (2022)
- Control of a wireless sensor using the pulse sequence for prospective motion correction in brain MRI. (2022)
- Motion-insensitive susceptibility weighted imaging. (2021)
- Prospective motion correction for diffusion weighted EPI of the brain using an optical markerless tracker. (2021)
- T1 -FLAIR imaging during continuous head motion (2021)
- Chemical shift encoding using asymmetric readout waveforms. (2021)
- Projection-based 3D/2D registration for prospective motion correction. (2020)
- Fat/water separation in k-space with real-valued estimates and its combination with POCS. (2020)
- Optimizing 3D EPI for rapid T1 -weighted imaging. (2020)
- RARE two-point Dixon with dual bandwidths. (2020)
- Soft-tissue fat tumours (2019)
- T1 weighted fat/water separated PROPELLER acquired with dual bandwidths. (2018)
- Multi-scale graph-cut algorithm for efficient water-fat separation (2017)
- The effect of radiotherapy on fat content and fatty acids in myxoid liposarcomas quantified by MRI. (2017)
- Clinical Feasibility of Synthetic MRI in Multiple Sclerosis (2016)
- T2 * relaxation time in Achilles tendinosis and controls and its correlation with clinical score (2016)
- Energy weighting improves dose efficiency in clinical practice (2014)
- Canine body composition quantification using 3 tesla fat–water MRI (2014)
- Radiation dosimetry in digital breast tomosynthesis (2014)
- Bisphenol A exposure increases liver fat in juvenile fructose-fed Fischer 344 rats (2013)
- Quantification of total and visceral adipose tissue in fructose-fed rats using water-fat separated single echo MRI (2013)
- Comparison of Gross Body Fat-Water Magnetic Resonance Imaging at 3 Tesla to Dual-Energy X-Ray Absorptiometry in Obese Women (2013)
- Model-based mapping of fat unsaturation and chain length by chemical shift imaging (2012)
- Three-dimensional water/fat separation and T2* estimation based on whole-image optimization (2012)
- Effects of n-6 PUFAs compared with SFAs on liver fat, lipoproteins, and inflammation in abdominal obesity (2012)
- Two-point dixon method with flexible echo times (2011)
- Three-point Dixon method enables whole-body water and fat imaging of obese subjects (2010)