Toward Human-Scale Magnetic Particle Imaging: Development of the First System With Superconductor- Based Selection Coils
2024 · IEEE Transactions on Medical Imaging
저자
Tuan‐Anh Le, Minh Phú Bùi, Yaser Hadadian, Khaled Mohamed Gadelmowla, Seungjun Oh, Chaemin Im, 한승용 (Seungyong Hahn), Jungwon Yoon
연구주제
–
NTIS 과학기술표준분류
에너지/자원만에너지·환경·원자력 확장
가장 가까운 분류(보건의료 > 치료/진단기기)가 에너지·환경·원자력 확장 범위 밖이다.
AI 연구 키워드·방법
magnetic particle imaging superconducting selection coil
키워드 (OpenAlex)
magnetic particle imaging magnetic field gradient magnetic nanoparticles 3D imaging spatial resolution clinical MRI
초록
Magnetic Particle Imaging (MPI) is an emerging tomographic modality that allows for precise three-dimensional (3D) mapping of magnetic nanoparticles (MNPs) concentration and distribution. Although significant progress has been made towards improving MPI since its introduction, scaling it up for human applications has proven challenging. High-quality images have been obtained in animal-scale MPI scanners with gradients up to 7 T/m/ , however, for MPI systems with bore diameters around 200 mm the gradients generated by electromagnets drop significantly to below 0.5 T/m/ . Given the current technological limitations in image reconstruction and the properties of available MNPs, these low gradients inherently impose limitations on improving MPI resolution for higher precision medical imaging. Utilizing superconductors stands out as a promising approach for developing a human-scale MPI system.…
이 논문을 지원한 국가R&D 과제 (NTIS 성과)
| 연도 | 과제 | 부처 | 사업 | 수행기관 | NTIS 분류(1순위) |
|---|---|---|---|---|---|
| 2022 | 뇌 질환 치료용 약물담지 마이크로나노로봇 내비게이션 시스템 기술 개발 | 산업통상자원부 | 로봇산업기술개발 | 광주과학기술원 | 범위 밖 |
인접 그래프
노드 hover = 이웃 강조 · 1회 클릭 = 고정 · 고정된 노드 다시 클릭 = 페이지 이동