Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Pernilla Peterson is active.

Publication


Featured researches published by Pernilla Peterson.


Magnetic Resonance in Medicine | 2013

Simultaneous quantification of fat content and fatty acid composition using MR imaging.

Pernilla Peterson; Sven Månsson

Not only the fat content but also the composition of fatty acids (FAs) in stored triglycerides might be of interest in the research on nonalcoholic fatty liver disease and nonalcoholic steatohepatitis. In this study, a novel reconstruction approach is proposed that uses theoretical knowledge of the chemical structure of FAs to simultaneously quantify the fat fraction (FF) and the FAs composition (chain length cl, number of double bonds ndb, and number of methylene‐interrupted double bonds nmidb) from multiple gradient echo images. Twenty phantoms with various fat contents (FF = 9–100%) and FA compositions (cl = 12.1–17.9, ndb = 0.23–5.10, and nmidb = 0.04–2.39) were constructed and imaged in a 3‐T Siemens scanner. In addition, spectra were acquired in each phantom. Slopes and “standard deviations from true values” were used to investigate the accuracy of the two methods. The imaging method holds well in a comparison to the previously suggested spectroscopy method and showed similar overall accuracy. The in vivo feasibility was demonstrated in the thigh adipose tissue of a healthy volunteer. In conclusion, our developed method is a promising tool for FF and FA composition quantification. Magn Reson Med, 2013.


Magnetic Resonance in Medicine | 2014

Fat quantification using multiecho sequences with bipolar gradients: Investigation of accuracy and noise performance

Pernilla Peterson; Sven Månsson

To investigate the accuracy and noise performance of fat quantification with multiple gradient‐echo images acquired using bipolar read‐out gradients and compare them with those of the well‐established unipolar technique.


Metabolism-clinical and Experimental | 2015

Magnetic resonance imaging reveals altered distribution of hepatic fat in children with type 1 diabetes compared to controls

Simon E. Regnell; Pernilla Peterson; Lena Trinh; Per Broberg; Peter Leander; Åke Lernmark; Sven Månsson; Helena Elding Larsson

INTRODUCTION Children with type 1 diabetes have been identified as a risk group for non-alcoholic fatty liver disease (NAFLD). The aim was to compare total hepatic fat fraction and fat distribution across Couinaud segments in children with type 1 diabetes and controls and the relation of hepatic fat to plasma and anthropometric parameters. METHODS Hepatic fat fraction and fat distribution across Couinaud segments were measured with magnetic resonance imaging (MRI) in 22 children with type 1 diabetes and 32 controls. Blood tests and anthropometric data were collected. RESULTS No children had NAFLD. Children with type 1 diabetes had a slightly lower hepatic fat fraction (median 1.3%) than controls (median 1.8%), and their fat had a different segmental distribution. The fat fraction of segment V was the most representative of the liver as a whole. An incidental finding was that diabetes patients treated with multiple daily injections of insulin (MDI) had a fat distribution more similar to controls than patients with continuous subcutaneous insulin infusion (CSII). CONCLUSIONS In children with type 1 diabetes, NAFLD may be less common than recent studies have suggested. Children with type 1 diabetes may have a lower fat fraction and a different fat distribution in the liver than controls. Diabetes treatment with MDI or CSII may affect liver fat, but this needs to be confirmed in a larger sample of patients. The heterogeneity of hepatic fat infiltration may affect results when liver biopsy is used for diagnosing fatty liver.


Journal of Magnetic Resonance Imaging | 2016

Fat Quantification in Skeletal Muscle Using Multigradient-Echo Imaging: Comparison of Fat and Water References

Pernilla Peterson; Thobias Romu; Håkan Brorson; Olof Dahlqvist Leinhard; Sven Månsson

To investigate the precision, accuracy, and repeatability of water/fat imaging‐based fat quantification in muscle tissue using a large flip angle (FA) and a fat reference for the calculation of the proton density fat fraction (FF). Comparison is made to a small FA water reference approach.


Magnetic Resonance in Medicine | 2014

Relaxation effects in MRI-based quantification of fat content and fatty acid composition.

Pernilla Peterson; Jonas Svensson; Sven Månsson

Purpose: To investigate various sources of bias in MRI‐based quantification of fat fraction (FF) and fatty acid composition (FAC) using chemical shift‐encoded techniques.


Diabetic Medicine | 2016

Pancreas volume and fat fraction in children with Type 1 diabetes

Simon E. Regnell; Pernilla Peterson; Lena Trinh; Per Broberg; Peter Leander; Åke Lernmark; Sven Månsson; H. Elding Larsson

People with Type 1 diabetes have smaller pancreases than healthy individuals. Several diseases causing pancreatic atrophy are associated with pancreatic steatosis, but pancreatic fat in Type 1 diabetes has not been measured. This cross‐sectional study aimed to compare pancreas size and fat fraction in children with Type 1 diabetes and controls.


Lymphatic Research and Biology | 2017

Lymphedema Leads to Fat Deposition in Muscle and Decreased Muscle/Water Volume After Liposuction : A Magnetic Resonance Imaging Study

Mattias Hoffner; Pernilla Peterson; Sven Månsson; Håkan Brorson

Abstract Background: Lymphedema leads to adipose tissue deposition. Water–fat magnetic resonance imaging (MRI) can quantify and localize fat and water. The presence of excess fat and excess water/muscle in the subfascial compartment of the lymphedematous limb has not been investigated before. The aim of this study was to investigate epifascial and subfascial fat and water contents in patients with chronic lymphedema before and after liposuction. Methods and Results: Seven patients with arm lymphedema and six with leg lymphedema were operated on. The limbs were examined with water–fat MRI before liposuction (baseline) and at five time points. Complete reduction of the excess limb volumes was achieved. The excess epifascial fat was evident in the edematous limbs and a drop was seen following surgery. There were differences in excess water at all time points. At 1 year there was a decrease in excess water. Excess subfascial fat was seen in the edematous limbs at all time points. Subfascial excess water/muscle did not show any differences after surgery. However, starting from 3 months there was less subfascial water/muscle compared with baseline. Conclusions: Subfascial fat in the lymphedematous limbs did not change. In contrast, the water in the subfascial compartment was reduced over time, which may represent a decrease of muscle volume after treatment due to less mechanical load after liposuction. Using water–fat MRI-based fat quantification, the fat and water contents may be quantified and localized in the various compartments in lymphedema.


Magnetic Resonance in Medicine | 2018

T2 relaxation time bias in gagCEST at 3T and 7T: comparison of saturation schemes

Pernilla Peterson; Emma Olsson; Jonas Svensson

To characterize the effects of water T2 relaxation time in the glycosaminoglycan chemical exchange saturation transfer method (gagCEST) and compare them between 3T and 7T as well as between various saturation schemes.


Lymphatic Research and Biology | 2018

Assessment of Subfascial Muscle/Water and Fat Accumulation in Lymphedema Patients Using Magnetic Resonance Imaging

Lena Trinh; Pernilla Peterson; Håkan Brorson; Sven Månsson

Background: In patients with arm or leg lymphedema, more fat has been found in the epifascial compartment of the edematous limb compared to the healthy limb. However, not much is known about subfascial fat accumulation in these patients. This study aims to investigate the intramuscular and intermuscular fat and muscle/water volume in lymphedema patients. The excess of intramuscular and intermuscular fat volume was also compared to the excess epifascial fat volume, the excess limb volume, and the duration of lymphedema. Methods and Results: Data from 13 patients (seven arm and six leg lymphedemas) were acquired using a 1.5 T magnetic resonance imaging (MRI) scanner before liposuction and at five time points (4 days, 4 weeks, 3 months, 6 months, and 1 year) after liposuction. From water-fat imaging, fat and muscle/water volumes within the intramuscular and intermuscular compartments were calculated. The relative excess volume was defined as (volume of edematous limb-volume of healthy limb)/volume of healthy limb. Elevated relative excess volumes of intramuscular and intermuscular fat were found at all time points. A decrease in the relative excess volume of muscle/water over time was found. This decrease was not correlated to the relative excess of epifascial fat volume, the relative excess of limb volume, or the duration of lymphedema. Conclusions: An excess fat volume was found in the intramuscular and intermuscular compartments in lymphedema patients. The results suggest that the subfascial compartment needs to be studied separately as no correlation between intramuscular/intermuscular fat accumulation and other measured parameters was found.


Tomography : a journal for imaging research; 3(3), pp 153-162 (2017) | 2017

High-Resolution MR Imaging of Muscular Fat Fration - Comparison of Three T2-Based Methods and Chemical Shift-Encoded Imaging

Lena Trinh; Emelie Lind; Pernilla Peterson; Jonas Svensson; Lars E. Olsson; Sven Månsson

Chemical shift-encoded imaging (CSEI) is the most common magnetic resonance imaging fat–water separation method. However, when high spatial resolution fat fraction (FF) images are desired, CSEI might be challenging owing to the increased interecho spacing. Here, 3 T2-based methods have been assessed as alternative methods for obtaining high-resolution FF images. Images from the calf of 10 healthy volunteers were acquired; FF maps were then estimated using 3 T2-based methods (2- and 3-parameter nonlinear least squares fit and a Bayesian probability method) and CSEI for reference. In addition, simulations were conducted to characterize the performance of various methods. Here, all T2-based methods resulted in qualitatively improved high-resolution FF images compared with high-resolution CSEI. The 2-parameter fit showed best quantitative agreement to low-resolution CSEI, even at low FF. The estimated T2-values of fat and water, and the estimated muscle FF of the calf, agreed well with previously published data. In conclusion, T2-based methods can provide improved high-resolution FF images of the calf compared with the CSEI method.

Collaboration


Dive into the Pernilla Peterson's collaboration.

Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Researchain Logo
Decentralizing Knowledge