Yulia Shcherbakova graduated in Medical Physics from Moscow Engineering Physics Institute, the faculty of experimental and theoretical physics, in 2008.
From 2010 to 2014 she worked in General Electric Healthcare (covering Russia and CIS) as Application Specialist in MRI.
In April 2014 she started as a PhD candidate at the University Medical Center Utrecht in the project “Image Guided Cancer Therapy: Real-Time Target Tracking in MRI-guided HIFU and MRI-guided RadioTherapy”. She was working on MRI acquisition methods for accurate 3D tumor visualization, and on the optimization of methods for quantitative MRI.
In December 2019 she received her PhD at Utrecht University after defending her thesis “PLANET: a new approach for quantitative MRI”.
From December 2021 she has been working as a postdoc at the Image Science Institute (ISI) in the project “Scolistorm”. Her research focuses on the development and the optimization of Adolescent Idiopathic Scoliosis (AIS) – specific MR protocol.
University Medical Center Utrecht
Heidelberglaan 100
Q.02.4.45
3584 CX Utrecht
The Netherlands
office: Q.02.4.45
phone: +31 88 75 56466
secretary: +31 88 75 57772
Publications
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A multipurpose, adolescent idiopathic scoliosis-specific, short MRI protocol: A feasibility study in volunteers
Aug 2024 in European Journal of Radiology 177 -
Automatic generation of subject-specific finite element models of the spine from magnetic resonance images
Sep 2023 in Frontiers in bioengineering and biotechnology 11 -
Transceive phase mapping using the PLANET method and its application for conductivity mapping in the brain
Feb 2020 in Magnetic Resonance in Medicine 83 (2), p. 590-607 -
Visualization of gold fiducial markers in the prostate using phase-cycled bSSFP imaging for MRI-only radiotherapy
Sep 2019 in Physics in Medicine and Biology 64 (18), p. 185001 -
On the accuracy and precision of PLANET for multiparametric MRI using phase-cycled bSSFP imaging
Mar 2019 in Magnetic Resonance in Medicine 81 (3), p. 1534-1552 -
Investigation of the influence of B0 drift on the performance of the PLANET method and an algorithm for drift correction
Nov 2019 in Magnetic Resonance in Medicine 82 (5), p. 1725-1740 -
Fast clinically feasible MR sequences to map electrical tissue conductivity for improved accuracy in hyperthermia treatment planning (HTP)
May 2018 in Strahlentherapie und Onkologie 194 (5), p. 491-492 -
PLANET: An Ellipse Fitting Approach for Simultaneous T1 and T2 Mapping Using Phase-Cycled Balanced Steady-State Free Precession
Feb 2017 in Magnetic Resonance in Medicine 79 (2), p. 711-722