Imperial College London


Faculty of MedicineDepartment of Brain Sciences

Honorary Research Fellow



+44 (0)20 8816 7653r.heckemann Website




Cyclotron buildingHammersmith Campus





Medical images contain plenty of information, but some of it remains hidden on standard two-dimensional slice or surface representations. My research mission is to develop image processing methods that extract, filter and present such information in a way that makes it useful in clinical medicine as biomarkers of disease. I want to enable clinicians to see more on images of the adult human brain. This could change the lives of people with dementia symptoms: an earlier and more accurate diagnosis alleviates uncertainty and increases the hope for successful interventions. In the fight against Alzheimer disease and other dementias, biomarkers could accelerate the development of drugs that slow down or prevent disease progress, effectively improving patients' prognosis.

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Yaakub SN, Heckemann RA, Keller SS, et al., 2020, On brain atlas choice and automatic segmentation methods: a comparison of MAPER & FreeSurfer using three atlas databases., Sci Rep, Vol:10

Holmberg MO, Malmgren H, Berglund P, et al., 2019, Structural brain changes in hyperthyroid Graves' disease: protocol for an ongoing longitudinal, case-controlled study in Göteborg, Sweden-the CogThy project., Bmj Open, Vol:9

Zuo C, Zhuang X, Heckemann RA, et al., 2019, Editorial: Radiopharmaceuticals, Imaging Techniques and Clinical Applications in Neurodegenerative Diseases, Frontiers in Neurology, Vol:10, ISSN:1664-2295

Prange S, Metereau E, Maillet A, et al., 2019, Early limbic microstructural alterations in apathy and depression in de novo Parkinson's disease, Movement Disorders, Vol:34, ISSN:0885-3185, Pages:1644-1654

Gryska EA, Schneiderman J, Heckemann RA, 2019, Automatic brain lesion segmentation on standard MRIs of the human head: a scoping review protocol, Bmj Open, Vol:9, ISSN:2044-6055

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