Heikki J. Nieminen
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Research Interests
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Recent Grants
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AdvaNeedle
Open Date: 2019-01-01
Close Date: 2021-01-01
Grant: Close
Aalto University seed funding, Health Platform - project 9741072
Open Date: 2018-01-01
Close Date: 2018-12-01
Grant: Close
Lightopsy
Open Date: 2018-01-01
Close Date: 2021-01-01
Grant: Close
Ultrasound-enhanced fine-needle biopsy (USeFNB): sound-tissue –interactions - project 314286
Open Date: 2017-09-01
Close Date: 2022-08-01
Grant: Close
Ultrasound-enhanced fine-needle biopsy (USeFNB): sound-tissue –interactions - project 311586
Open Date: 2017-09-01
Close Date: 2022-08-01
Articles (8)
Multi-modal transducer-waveguide construct coupled to a medical needle
Annually, more than 16 × 109 medical needles are consumed worldwide. However, the functions of the medical needle are still limited mainly to cutting and delivering material to or from a target site. Ultrasound combined with a hypodermic needle could add value to many medical applications, for example, by reducing the penetration force needed during the intervention, adding precision by limiting the needle deflection upon insertion into soft tissues, and even improving tissue collection in fine-needle biopsy applications. In this study, we develop a waveguide construct able to operate a longitudinal-flexural conversion of a wave when transmitted from a Langevin transducer to a conventional medical needle, while maintaining high electric-to-acoustic power efficiency. The optimization of the waveguide structure was realized in silico using the finite element method followed by prototyping the construct and characterizing it experimentally. The experiments conducted at low electrical power consumption (under 5 W) show a 30 kHz flexural needle tip displacement up to 200 μm and 73% electric-to-acoustic power efficiency. This, associated with a small sized transducer, could facilitate the design of ultrasonic medical needles, enabling portability, batterization, and improved electrical safety, for applications such as biopsy, drug and gene delivery, and minimally invasive interventions.
Year:
2023
Collaborators (5)
Emanuele Perra
KTH Royal Institute of Technology
Juho Pokki
Aalto University
Ilkka Kivistö
University of Helsinki
Ari Salmi
University of Helsinki
Goncalo Barreto
University of Helsinki

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