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dr. M. van Stralen Assistant Professor

  • Image Sciences Institute

M. van Stralen

Contact

Biography

From the start of my PhD I have been investigating non-invasive imaging technologies for diagnosis, monitoring and treatment guidance. My PhD, at LUMC and ErasmusMC, focused on automated analysis of 3D echocardiography, aiming at positioning 3D ultrasound as a non-invasive modality for 3D assessment of left ventricular function. During my postdocs at UMCU, I broadened my research interests and skills into US & MR brain image analysis (brainshift registration & segmentation, for intraoperative guidance), abdominal MR (DCE-MRI & ASL-MRI), CT spine (scoliosis analysis). The abdominal MR work has led to the development of Drag and drop ASL, offering perfusion imaging in the abdomen without the need for intravenous contrast injection.
The past years, together with Peter Seevinck, I have been developing BoneMRI, software-enabled visualization of bone using MRI, within a close collaboration between UMCU and newly founded company MRIguidance. This has developed into a research line aiming at 1. further improving the image quality for investigating the diagnostic use of synthetic CTs, obviating the need for an additional CT and reducing dose, and 2. developing synthetic CT for monitoring and treatment guidance, obviating the need for the often dedicated, additional CT.

Research Output (40)

Comparison of multi-delay FAIR and pCASL labeling approaches for renal perfusion quantification at 3T MRI

Harteveld Anita A, de Boer Anneloes, Franklin Suzanne Lisa, Leiner Tim, van Stralen Marijn, Bos Clemens 6 dec 2019, In: Magma: Magnetic Resonance Materials in Physics, Biology, and Medicine. 33 , p. 81-94 14 p.

CT-based study of vertebral and intravertebral rotation in right thoracic adolescent idiopathic scoliosis

Brink Rob C., Homans Jelle F., Schlösser Tom P.C., van Stralen Marijn, Vincken Koen L., Shi Lin, Chu Winnie C.W., Viergever Max A., Castelein René M., Cheng Jack C.Y. 1 dec 2019, In: European Spine Journal. 28 , p. 3044-3052 9 p.

Dosimetric evaluation of synthetic CT for head and neck radiotherapy generated by a patch-based three-dimensional convolutional neural network

Dinkla Anna M, Florkow Mateusz C, Maspero Matteo, Savenije Mark H F, Zijlstra Frank, Doornaert Patricia A H, van Stralen Marijn, Philippens Marielle E P, van den Berg Cornelis A T, Seevinck Peter R sep 2019, In: Medical Physics. 46 , p. 4095-4104 10 p.

Surgical Outcomes of Anterior Versus Posterior Fusion in Lenke Type 1 Adolescent Idiopathic Scoliosis

Vavruch Ludvig, Brink Rob C., Malmqvist Marcus, Schlösser Tom P.C., van Stralen Marijn, Abul-Kasim Kasim, Ohlin Acke, Castelein René M., Tropp Hans 15 jul 2019, In: Spine. 44 , p. E823-E832

Enabling free-breathing background suppressed renal pCASL using fat imaging and retrospective motion correction

Bones Isabell K, Harteveld Anita A, Franklin Suzanne L, van Osch Matthias J P, Hendrikse Jeroen, Moonen Chrit T W, Bos Clemens, van Stralen Marijn jul 2019, In: Magnetic Resonance in Medicine. 82 , p. 276-288 13 p.

The changing position of the center of mass of the thorax during growth in relation to pre-existent vertebral rotation

De Reuver Steven, Brink Rob C., Homans Jelle F., Kruyt Moyo C., Van Stralen Marijn, Schlösser Tom P.C., Castelein René M. 15 mei 2019, In: Spine. 44 , p. 679-684 6 p.

Synthetic CT generation for Head and Neck radiotherapy by a 3D convolutional neural network

Dinkla A., Florkow M., Maspero M., Savenije M., Zijlstra F., Doornaert P., Van Stralen M., Philippens M., Seevinck P., Van den Berg N. apr 2019, In: Radiotherapy and Oncology. 133 , p. S268-S269

CT synthesis from MR images for orthopedic applications in the lower arm using a conditional generative adversarial network

Zijlstra F., Willemsen K., Florkow M. C., Sakkers R. J.B., Weinans H. H., Van Der Wal B. C.H., Van Stralen M., Seevinck P. R. 1 jan 2019,

Anterior-posterior length discrepancy of the spinal column in adolescent idiopathic scoliosis—a 3D CT study

Brink Rob C., Schlösser Tom P.C., van Stralen Marijn, Vincken Koen L., Kruyt Moyo C., Hui Steve C.N., Viergever Max A., Chu Winnie C.W., Cheng Jack C.Y., Castelein René M. 1 dec 2018, In: Spine Journal. 18 , p. 2259-2265 7 p.

Deep learning enables automatic quantitative assessment of puborectalis muscle and urogenital hiatus in plane of minimal hiatal dimensions

van den Noort F, van der Vaart C H, Grob A T M, van de Waarsenburg M K, Slump C H, van Stralen M 21 nov 2018, In: Ultrasound in Obstetrics and Gynecology. 54 , p. 270-275 6 p.

All Research Output (40)
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