Afrint III continues the work of Afrint I and II, through the collection of a third round of survey data among the Afrint households in Ghana, Kenya, Malawi, Mozambique, Tanzania and Zambia. The research is now focused into three sub-projects in rural areas:  one in Ghana and Kenya (Poverty effects of income diversification in Kenya and Ghana) funded by the Swedish Research Council (Vetenskapsråde

https://www.keg.lu.se/en/research/research-projects/current-research-projects/afrint/afrint-iii - 2025-04-23

African small-scale agriculture at the cross-road? Staple food production, agricultural diversification and poverty reduction. With continuing food insecurity and a rise of extreme poverty, according to the UN, Sub-Saharan Africa is the epicentre of crisis amongst regions and countries showing little progress in achieving the Millennium Development Goals. Poverty on the continent is still rurally

https://www.keg.lu.se/en/research/research-projects/current-research-projects/afrint/afrint-ii - 2025-04-23

African food security has become an increasing concern during the last decade. Reports are regularly appearing about famine and hunger in countries south of the Sahara. Pessimism is widespread about the possibilities for the continent to feed its growing population. Until recently, optimism about Asian development on the other hand seemed boundless, and Asia is considered the emerging centre of th

https://www.keg.lu.se/en/research/research-projects/current-research-projects/afrint/afrint-i - 2025-04-23

Research project in Human Ecology Project's title: Beyond GDP growth: Scenarios for sustainable building and planning.Period: 2014-2018Contact person: Alf HornborgResearchers in the project:Alf Hornborg External researchersProject's websiteOverviewIn policies for sustainable urban development, continued GDP growth is generally taken for granted. Sustainable growth is an overall political goal. How

https://www.keg.lu.se/en/research-projects/finished-research-projects/beyond-gdp-growth - 2025-04-23

Research project in Human Geography Project's title: Cluster life cycles – the role of actors, networks and institutions in emerging, growing, declining and renewing clustersProject's duration: 2011-2014Contact person: Bjørn AsheimResearchers in the project:Bjørn AsheimJerker MoodyssonRoman MartinOverviewThe project is funded by European Science Foundation/Swedish Research Council.

https://www.keg.lu.se/en/research-projects/finished-research-projects/cluster-life-cycles-circle - 2025-04-23

Research project in Human Ecology Project's title: Environmental Justice Organisations, Liabilities and Trade Project's duration: 2011-2015Contact person: Alf HornborgResearchers in the project:Alf Hornborg Rikard WarleniusMartin OuluResearch project's homepageOverviewAs global consumption of resources and human populations increase, the search for energy and materials cause the “commodity frontie

https://www.keg.lu.se/en/research-projects/finished-research-projects/ejolt - 2025-04-23

Lund University Breast Cancer Imaging Group LUCI - Lund University Breast Cancer Imaging Group CONTACT Professor Sophia Zackrisson  sophia [dot] zackrisson [at] med [dot] lu [dot] se  Visiting addressDepartment of translational medicine, Diagnostic Radiology, Lund UniversityCarl Bertil Laurells gata 9205 02 Malmö

https://www.luci.lu.se/en/luci - 2025-04-23

In the project I am involved with we are trying to simulate breast and breast cancer tumours. The simulations can assist and support clinical research, by predicting treatment plans and diagnostic tools in breast cancer screening. In addition, we try to assess the growth rate of tumours in women in Sweden, in order to identify which tumours that are less aggressive and where unnecessary interventi

https://www.luci.lu.se/en/virtual-clinical-trials-vcts-medical-imaging/assessment-tumour-growth-model-virtual-clinical-trials-breast-cancer-screening - 2025-04-23

LUCI- Lund University breast Cancer Imaging group – is an interdisciplinary research group with members covering expert areas in diagnostic radiology, radiography, medical radiation physics and engineering. Cancer imaging is a growing field with screening programs for secondary prevention through early detection and advances in therapeutics as key drivers. Since primary prevention strategies are l

https://www.luci.lu.se/en/about-us - 2025-04-23

The idea in this project is that malignant tumours can be distinguished from benign lesions and normal tissue using "mechanical imaging". Mechanical imaging of the breast is done by measuring the stress at the breast surface as the breast is compressed. Malignant tumours are generally stiffer than normal, benign breast tissue and will result in a higher stress at the breast surface. Knowing which

https://www.luci.lu.se/en/breast-mechanical-imaging/simulating-mechanical-imaging-data-through-use-virtual-clinical-trials - 2025-04-23

My research embraces a broad range of research projects on evidence-based radiography for person-centered care in cancer diagnostics. It focuses on the individual's perspective in health care and covers areas as follows: 1) person-centeredness and patient-reported outcomes in cancer screening and cancer care in radiography, 2) psychometric properties of measurements of patient-reported outcomes in

https://www.luci.lu.se/en/evidence-based-radiography-person-centered-care-cancer-diagnostics - 2025-04-23

In a pioneering project, we are using pressure sensors to investigate and improve breast imaging. Mechanical imaging can be described as using pressure sensors to investigate the surface pressure of a compressed object. From the surface pressure, or stress, the local stiffness can be estimated. This is both useful and convenient in breast imaging: the breast is compressed during mammography, and b

https://www.luci.lu.se/en/breast-mechanical-imaging - 2025-04-23

With a unique database of images we are investigating the use of artificial intelligence in breast imaging. Progress in Artificial Intelligence – AI – is rapid in many medical fields. In breast imaging, AI has mainly been used to improve CAD – computer assisted detection. Traditional CAD indicates suspicious areas on the mammogram, but is ineffective in screening as excessive marks distract reader

https://www.luci.lu.se/en/artificial-intelligence-breast-imaging - 2025-04-23

My name is Ann-Sofi Sjöqvist, and I am a registered radiographer, MSc and doctoral student. I work in Malmö at the Department of Medical Imaging and Physiology Skåne university Hospital and have been working with MRI since 2004. Between 2007 and 2011 I worked at Hvidovre Hospital in Denmark at the DRCMR department and there is where my research interest awoke. In Denmark I enrolled for a master pr

https://www.luci.lu.se/en/about-us/experiences-women-inherited-risk-breast-cancer-undergoing-yearly-surveillance-mri-breast-sweden - 2025-04-23

Women with high breast density have an increased risk of breast cancer. At the same time is mammography less effective in finding an existing cancer in these dense breasts. Mammography creates a 2D image of a 3D structure which has the potential to result in superimposing tissue, hiding lesions of interest. Tomosynthesis is an upcoming method for 3D screening with the potential of improving the ef

https://www.luci.lu.se/en/individualized-breast-cancer-screening-tomosynthesis-depending-breast-density - 2025-04-23

Increased breast density is an established strong risk factor for breast cancer. However, its prognostic potential is elusive. Some studies have reported worse outcome for women with dense breasts, while most have not found an association. Mammographic tumour appearances are related to tumour characteristics. In my first project we saw that spiculated tumour appearance is associated with favourabl

https://www.luci.lu.se/en/does-mammographic-density-and-mammographic-tumour-appearance-impact-survival-breast-cancer - 2025-04-23

My PhD project is a result of an international collaboration between Lund University and Siemens Healthineers. The focus with the project is investigating the possible benefits of synthetic mammography (SM) as supplemental imaging technique to digital breast tomosynthesis (DBT) in a screening setting. The goal of using SM is to add additional information to the radiologist and help improve decisio

https://www.luci.lu.se/en/breast-mechanical-imaging/possible-benefits-synthetic-mammography - 2025-04-23

We investigate the possibilities to use artificial intelligence (AI) to improve breast cancer screening with either standard digital mammography (DM) or digital breast tomosynthesis (DBT), which can be seen as a kind of 3D mammography. Today DM is used for breast cancer screening. In order to detect as many cancers as possible, each image is read by two specialised breast radiologists. DBT can fin

https://www.luci.lu.se/en/artificial-intelligence-breast-imaging/can-breast-cancer-screening-be-improved-artificial-intelligence - 2025-04-23

Project description: DBTMI is motivated by a challenge of underdiagnosis and false positives (FPs) in breast cancer healthcare. Mammography screening reduces mortality by early cancer detection. It is limited by FPs and unnecessary biopsies, with related complications, anxiety, and burden on the healthcare system. MI maps local pressure on the breast compressed during x-ray exam. Increased pressur

https://www.luci.lu.se/en/simultaneous-digital-breast-tomosynthesis-dbt-and-mechanical-imaging-mi-dbtmi - 2025-04-23

Project description: Virtual Clinical Trials (VCTs) in medical imaging have been used to design, evaluate, and optimize imaging systems; to prototype clinical trials; and to assist with regulatory approval. VCTs are used as a rapid and cost-effective alternative to conventional clinical trials, allowing researchers to answer fundamental questions using in-silico simulations. My team of researchers

https://www.luci.lu.se/en/virtual-clinical-trials-vcts-medical-imaging - 2025-04-23