New review article accepted for publication in Osteoarthritis and Cartilage

A new article “Osteoarthritis year in review 2018: imaging” by Miika Nieminen, Victor Casula V, Mika Nevalainen, and Simo Saarakkala has been accepted for publication in Osteoarthritis and Cartilage (DOI: 10.1016/j.joca.2018.12.009). This article provides a narrative review of the most relevant original research published in 2017/2018 on osteoarthritis imaging.

MAKNEE selected for the SLUSH 100 and Y-Science pitching competitions

The MAKNEE team has been selected to be part of the main pitching competition in SLUSH: the 100 Pitching Competition. This event offers a unique opportunity to reach the global audience and engage with the tech community, investors, mentors and customers.

Furthermore, MAKNEE was selected as a finalist in the Y-Science pitching competition, which is a side event of Slush for life Sciences. The idea of this event is to bring forth the value of the science-based business, and encourage scientists to embrace a different way of thinking about impact.

During the stage time at the events, postdoc Jérôme Thevenot will have the opportunity to present the idea behind MAKNEE and the potential of this project to impact the society.

You can visit MAKNEE booth D29 at Slush the 5.12 to learn more about their non-invasive joint evaluation.

More information at

Artificial intelligence brings new tools for medical imaging diagnostics

A significant 525 000 euro funding was granted by The Future Makers –programme by the Technology Industries of Finland Centennial Foundation and the Jane and Aatos Erkko Foundation for AIDMEI project, directed by professor Miika Nieminen from the University of Oulu. The goal is to develop a novel artificial intelligence-based workflow for the radiological diagnostics process leading to an accessible, more accurate, and affordable healthcare.

Artificial intelligence (AI) has gained a lot of interest in the field of medical imaging within the last few years. Due to the aging of the population, the number of medical images taken from patients as well as the complexity of imaging analysis and associated data therein are increasing. Medical professionals spend more time for diagnostics leading to reduced time with patients and research.

In the AIDMEI project, the Research Unit of Medical Imaging, Physics and Technology from the University of Oulu, Oulu University Hospital and University of Helsinki are developing a novel artificial intelligence-based workflow. This research opening has potential to revolutionize the radiological diagnostics process by training AI with a unique, existing annotated imaging data archived at the Oulu University Hospital.

AIDMEI targets two clinically relevant use cases where AI based methodologies are being developed for MRI diagnostics of prolonged back pain and mammography diagnostics of breast cancer. AI is used to improve reconstructed image quality for presentation, and for extracting important quantitative features from medical images for automated diagnosis.

As an outcome of this project, intelligent algorithms will assist in time constraints, increasing workload, and other limitations pertaining to human driven diagnostics. Artificial intelligence guided diagnostic workflow could lead to an accessible, more accurate, and affordable healthcare for everyone.

In addition to professor Miika Nieminen, professors Simo Saarakkala, Osmo Tervonen, Jaro Karppinen and Jarmo Reponen from the University of Oulu, and professor Samuli Siltanen from The Department of Mathematics and Statistics, The University of Helsinki, participate in the project.

Jenny and Antti Wihuri Foundation grant for M.Sc. M. Juntunen

PhD student Mikael Juntunen (MIPT) has received a funding of 13 500 euros from Jenny and Antti Wihuri Foundation for the doctoral thesis “Quantitative photon counting tomography of coronary arteries”.

Icoryn maailmanvalloitus alkaa Singaporesta

Icory (ICory Intelligent Customer-driven Solution for Orthopedic and Pediatric Surgery Care ), Business Finlandin rahoittama projektikonsortio, aloittaa mailmanvalloituksen Singaporesta.

Kuusi Icory-yritystä (BuddyHealthCare, Solteq, Near Real, Rehaboo, Trium Health ja Lenovo) yhdessä Oulun yliopiston Martti Ahtisaari Instituutin asiantuntijoiden kanssa suuntaa syyskuussa Suomesta Singaporeen, jossa yrityskonsortion kohteena on ratkaisun ja liiketoiminnan kehittäminen Singaporen sairaala- ja yritysyhteistyökumppaneiden kanssa.

Konsortion tavoitteena on rakentaa potilaslähtöinen, digitaalista kommunikointia, tekoälyä ja robotiikkaa hyödyntävä seuraavan sukupolven ratkaisu ortopediseen leikkaushoitopolkuun. Mukana ovat Suomesta myös VTT, Oulun yliopistollinen sairaala, Helsingin yliopistollinen sairaala, BCB Medical, Ticca Oy, Johnson & Johnson, Tampereen yliopisto sekä Oulun yliopisto.

Singapore-yhteistyön tavoitteena on muokata ratkaisu vastaamaan Aasian markkinoiden tarpeita sekä löytää ratkaisua täydentävät toimijat, joiden kanssa voidaan yhdessä suunnata laajemmille Aasian markkinoille.

Icory-konsortion Aasian valloitusta ovat tukemassa myös muun muassa Suomen Singaporen suurlähetystö (Riku Mäkelä) ja Business Finland (Maarit Lahtonen) sekä Singaporessa Yong Loo Lin School of Medicine, National University of Singapore (He Hong-Gu).

Hanketta vetävät Marja Harjumaa (erikoistutkija, VTT)  ja  Minna Pikkarainen (Connected health -tutkimusprofessori, Oulun yliopisto ja VTT).


Marja Harjumaa  Marja.Harjumaa[at]
Minna Pikkarainen Minna.pikkarainen[at]


Research article published

Juuso Ketola’s manuscript titled “Iterative and discrete reconstruction in the evaluation of the rabbit model of osteoarthritis“, by Juuso H. Ketola; Sakari S. Karhula; Mikko A. J. Finnilä; Rami K. Korhonen; Walter Herzog; Samuli Siltanen; Miika T. Nieminen; and Simo Saarakkala, has been published in Scientific Reports.  DOI:10.1038/s41598-018-30334-8

Academy of Finland Postdoctoral Researcher funding

MIPT researcher Satu Inkinen, Ph.D., received a 3-year Academy of Finland Postdoctoral Researcher funding (234 650 €) for a project “X-ray multi-energy musculoskeletal imaging techniques using spectral photon counting detectors“. MIPT is the host institution of this project. IBIAPP_app=aka_ext&TULOSTE=HTML

The ICory project to start

An intelligent customer-driven solution for orthopedic and pediatric surgery care to be developed in the ICory project.

The two-year ICory project got 2,4 million euros funding from Business Finland and has been started at the beginning of May, 2018.  The project aims to create an intelligent, coherent data-driven and patient-centric solution for surgery, make an iterative and forecasting impact analysis of the solution, develop ecosystemic business models that help building customer value and scale the solution, and make use of machine learning and gamification to assure end-user experience based on context-specific applications, data analytics and personal profiles.

The project consortium consists of the following partners: Buddy Healthcare, BCB Medical, Lenovo, NearReal, Rehaboo!, Solteq, Ticca, Triumf Gamification, VTT, University of Oulu, University of Tampere, Oulu University Hospital, and Children’s Hospital, Hospital District of Helsinki and Uusimaa.

More information:
Professor Minna Pikkarainen
minna.pikkarainen[at] / minna.pikkarainen[at]

Professor Jarmo Reponen

Funding for novel biopsy technology

Business Finland (previously TEKES) has granted professor Miika Nieminen and multidisciplinary team from Oulu University and Aalto University a 700k¤ project to promote the development and commercialization of a new technology for biopsies.

Three abstracts accepted to 40th International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

Ketola JH, Karhula S, Finnilä M, Nieminen MT, Saarakkala S. Quantitative Bone Morphometry with Sparse Projection Data. Conf. Proc. IEEE Eng. Med. Biol. Soc. 40 (2018) (Poster presentation)

Inkinen SI, Ketola JH, Juntunen MAK, Nieminen MT. Convolutional neural networks for sparse cardiac CT reconstruction. Conf. Proc. IEEE Eng. Med. Biol. Soc. 40 (2018) (Poster presentation)

Juntunen MAK, Ketola JH, Inkinen SI, Nieminen MT. Quantitative accuracy of quantitative cardiac photon counting tomography. Conf. Proc. IEEE Eng. Med. Biol. Soc. 40 (2018) (Poster presentation)