Benutzerspezifische Werkzeuge

Feto/neonatal Imaging

Imaging the fetal head to improve long term neurological development. The basis for life-long neuro-cognitive competency is laid during the feto/neonatal period of development. Various factors have an impact on the growing brain and subsequently determine long term development. Diseases originating in this critical period are associated with severe burden to the individual but also to the society, and represent an unmet medical need. Currently, there is a lack in advanced analytical tools for detailed health status assessment in that vulnerable population that would allow personalized medicine to prevent long-term burden. By focusing on the feto/neonatal period of development, it is the objective of our research (i) to improve traditional health assessment tools through artificial intelligent (AI) systems to continuously and accurately monitor neurodevelopment, (ii) to develop advanced analytical tools to monitor clinical factors impacting neurodevelopment and head growth, (iii) to develop personalized strategies for preventing impaired head growth in the feto/neonatal period, and finally (iv) develop personalized and smart therapeutic strategies for treating common head pathologies, namely cranial deformities. Therefore, the my-nEUro-growth initiative was established.

Group leader

Anne Fritze


September 2022:
Workshop Schädeldeformitäten 

Seit der Kampagne Back to sleep werden zunehmend Schädeldeformitäten beschrieben. Da diese mit Entwicklungsverzögerungen assoziiert sind, kommt der frühzeitigen Erkennung eine hohe Bedeutung zu. Allerdings können Abweichungen der Schädelform leicht übersehen werden, sodass unser Auge geschult werden muss.


July 2022:
Treatment of head deformities.
The feto/neonatal imaging group has set itself the aim of improving the prevention or treatment of head deformities in extremely preterm infants in the future. To achieve this goal, the working group around Dr. Fritze cooperates with the 2Ai - Applied Artificial Intelligence Laboratory (2AI) of the Institutio Politecnico do Cavado e do Ave (IPCA) in Portugal, among others.
Within the collaboration, which has existed for several years now, Fernando José da Silva Veloso visited Dresden University Hospital at the end of July. Here he discussed current possibilities of helmet therapy with Prof. Dr. Guido Fitze, Head of Pediatric Surgery at the UKD. In addition, a clinical study was initiated to improve the early detection of head deformities in extremely preterm infants during their inpatient stay. In the course of her dissertation, Ms. Sophia Ernst, together with colleagues from Portugal, will develop an automated analysis of the head positions of hospitalized infants. The result is expected to improve the medical care of these infants and thus prevent the development of head deformities.  (July 27th, 2022)

Treatment of head deformities

 (f.l.t.r.) Dr. Anne Fritze, Fernando José da Silva Veloso, Sophia Ernst

Research results are presented at the PAS-meeting. Anne Fritze presents her research results during the annual meeting of the American Academic Societies (PAS), which takes place as an online event.


Helena Torres; Institutio Politecnico do Cavado e do Ave (IPCA), Portugal; (my-nEuro-growth)

Marijn Vermeulen; Erasmus University Rotterdam, Sophias Childrens Hospital (ERASMUS MC), Netherlands 

Fundacion BMaterials (BCM), Spain;

Warzawski Uniwersitytet Medyzny (WUM), Poland;

Khaled Ismail: Department of Gynecology and Obstetrics; Faculty of Medicine in Pilsen, Charles University; Biomedical Center; Faculty of Medicine in Pilsen;

Hans-Gerd Maas; TU Dresden, Institute for Photogrammetry (TUD-IP);

Sandra Hunger; Werkzeugmaschinen und Umformtechnik IWU, Abteilung Medizintechnik, Fraunhofer Institut (FHI)

Selected Publications

Realistic 3D infant head surfaces augmentation to improve AI-based diagnosis of cranial deformities. Torres HR, Oliveira B, Morais P, Fritze A, Rüdiger M, Fonseca JC, Vilaça JL.J Biomed Inform. 2022 Jun 21:104121. doi: 10.1016/j.jbi.2022.104121. Online ahead of print.PMID: 35750261

Anthropometric Landmarking for Diagnosis of Cranial Deformities: Validation of an Automatic Approach and Comparison with Intra- and Interobserver Variability.Torres HR, Morais P, Fritze A, Burkhardt W, Kaufmann M, Oliveira B, Veloso F, Hahn G, Rüdiger M, Fonseca JC, Vilaça JL.Ann Biomed Eng. 2022 May 27. doi: 10.1007/s10439-022-02981-6. Online ahead of print.

Fetal head circumference delineation using convolutional neural networks with registration-based ellipse fitting HR Torres, B Oliveira, PR Morais, A Fritze, C Birdir, M Rüdiger, Jaime C Fonseca, João L Vilaça. Medical Imaging:Image Processing 2022:12032, 927-933,

A review of image processing methods for fetal head and brain analysis in ultrasound images. Torres HR, Morais P, Oliveira B, Birdir C, Rüdiger M, Fonseca JC, Vilaça JL.Comput Methods Programs Biomed. 2022 Mar;215:106629. doi: 10.1016/j.cmpb.2022.106629. Epub 2022 Jan 13.

Anthropometric Landmark Detection in 3D Head Surfaces Using a Deep Learning Approach. Torres HR; Morais P; Fritze A; Oliveira B; Veloso F; Rüdiger M; Fonseca JC; Vilaca JL; IEEE J Biomed Health Inform. 2021 July, 25:7; doi: 10.1109/JBHI.2020.3035888

Reference Charts for Neonatal Cranial Volume Based on 3D Laser Scanning to Monitor Head Growth.Vermeulen MJ, Burkhardt W, Fritze A, Roelants J, Mense L, Willemsen S, Rüdiger M.Front Pediatr. 2021 May 28;9:654112. doi: 10.3389/fped.2021.654112. eCollection 2021

Obstetric forceps dimensions and the newborn head biometry: Time for an update. Ismail AT, Fritze A, Rüdiger M, Ismail KM.Eur J Obstet Gynecol Reprod Biol. 2020 Nov 26;256:270-273. doi: 10.1016/j.ejogrb.2020.11.046. Online ahead of print. 

Anthropometric Landmark Detection in 3D Head Surfaces using a Deep Learning Approach. Torres HR; Morais P; Fritze A; Oliveira B; Veloso F; Rüdiger M; Fonseca JC; Vilaca JL; IEEE J Biomed Health Inform. 2020 Nov 4;PP. doi: 10.1109/JBHI.2020.3035888. Online ahead of print.PMID: 33147152

Non-invasive estimation of brain-volume in infants. Burkhardt W, Schneider D, Hahn G, Konstantelos D, Maas HG, Rüdiger M. Early Hum Dev. 2019 May;132:52-57. doi: 10.1016/j.earlhumdev.2019.03.020. Epub 2019 Apr 12

Three-dimensional digital imaging to assess newborn biparietal diameter at term. Ismail AT, Rüdiger M, Ismail KMK, Burkhardt W. Eur J Obstet Gynecol Reprod Biol. 2018 Apr;223:143-144. doi: 10.1016/j.ejogrb.2018.02.009

Prevalence of head deformities in preterm infants at term equivalent age. Ifflaender S, Rüdiger M, Konstantelos D, Wahls K, Burkhardt W. Early Hum Dev. 2013 Dec;89(12):1041-7. doi: 10.1016/j.earlhumdev.2013.08.011

Three-dimensional digital capture of head size in neonates - a method evaluation. Ifflaender S, Rüdiger M, Koch A, Burkhardt W. PLoS One. 2013 Apr 8;8(4):e61274. doi: 10.1371/journal.pone.0061274. Print 2013