Postgraduate Training Program in Medical Imaging (PTPMI)
Postgraduate Training Program in Medical Imaging (PTPMI)
批准号:
10836860
负责人:
Ciprian Catana
金额:
$8.46万
依托单位国家:
美国
项目类别:
财政年份:
2011
资助国家:
美国
项目状态:
已结题
起止时间:
2011-07-01 至 2024-06-30
中文摘要
项目总结/摘要
医学影像研究生培训计划(PTPMI)为最近的博士毕业生提供
医学成像技术的研究培训,因为它涉及正常和病理生理功能
应用于核医学(PET和SPECT)、磁共振成像(MRI)、光学成像、图像
处理和人工智能(AI)。医学影像科学领域的重要性一直是
国家生物医学成像和生物工程研究所(NIBIB)的建立得到了认可。
在医学成像科学中,成像研究和技术以及最近的人工智能
彻底改变了放射学的实践。学员学习后可进入医学影像学研究领域
直接侧重于放射科学的课程,或在获得物理学博士学位后,
科学、数学、生物物理学或计算机科学。医学博士,对以下方面有既定的专业兴趣
并鼓励应用定量成像研究。
PTPMI通过定制和多样化的培训,为学员提供创新的培训和强大的背景。
指导以及结构化的教学课程和研讨会,使毕业生能够批判性地评估
并发展自己的研究思路。学员参加前沿研究,
有机会与世界一流的多机构教师在一个结合了以下资源的环境中互动:
哈佛医学院(HMS)和哈佛附属教学医院。
该计划的基本原理基于几个因素:1)对基础科学家的需求日益增长,
应用于PET、SPECT、MR、CT和光学等模式的医学成像科学培训; 2)
优秀的研究项目的可用性,为成像领域的学员提供令人兴奋的机会
技术和人工智能; 3)拥有商业和原型成像的尖端设施
系统; 4)一个异常强大和多样化的导师组,此外,一个教师谁提供
更多的专业知识和扩大接触范围提供给学员;和5)长期存在,多样化
合作,无论是在马萨诸塞州总医院(MGH)以及HMS,其他HMS附属
医院、哈佛大学和马萨诸塞州理工学院(MIT)。
在过去的资助期间,PTPMI的特点是在以下方面取得了异常强劲的成果:
包容性和多样性,32%的T32学员URM和36%的女性,以及职业生涯
60%的T32校友在学术岗位上,40%在工业研发岗位上,
与NIBIB在生物医学成像和生物工程技术方面的优先事项直接相关。
英文摘要
PROJECT SUMMARY / ABSTRACT
The Postgraduate Training Program in Medical Imaging (PTPMI) provides recent doctoral graduates with
research training in medical imaging technology as it pertains to normal and pathophysiological functions
applied to nuclear medicine (PET and SPECT), magnetic resonance imaging (MRI), Optical Imaging, Image
Processing and Artificial Intelligence (AI). The importance of the field of Medical Imaging Sciences has been
recognized by the establishment of the National Institute of Biomedical Imaging and Bioengineering (NIBIB).
And within medical imaging science, imaging research and technology and more recently AI have
revolutionized the practice of Radiology. Trainees may enter the field of medical imaging research after study
of a curriculum that focuses directly on radiological science or after earning a doctoral degree in the physical
sciences, mathematics, biophysics, or computer science. MDs with established professional interest in
quantitative imaging research are also encouraged to apply.
The PTPMI provides trainees an innovative training and strong background via customized and diverse
mentoring as well as structured didactic courses and seminars, enabling graduates to critically evaluate the
field and develop their own research ideas. Trainees participate in leading--‐edge research, with the
opportunity to interact with a world--‐class multi-institutional faculty in a setting that combines the resources of
the Harvard Medical School (HMS), and the Harvard--‐affiliated Teaching Hospitals.
The rationale for this program is based on several factors: 1) the growing need for basic scientists with
training in medical imaging sciences applied in modalities such as PET, SPECT, MR, CT and optical; 2) the
availability of outstanding research programs that provide exciting opportunities for trainees in imaging
technologies and AI; 3) the availability of cutting-edge facilities with commercial and prototype imaging
systems; 4) an unusually strong and diverse group of mentors and, in addition, a faculty who provide
additional expertise and extend the range of contacts available to trainees; and 5) long--‐standing, diverse
collaborations, both within the Massachusetts General Hospital (MGH) as well as HMS, other HMS--‐affiliated
hospitals, Harvard University, and the Massachusetts Institute of Technology (MIT).
PTPMI has been characterized over the past funding period by exceptionally strong outcomes in terms of
inclusion and diversity with 32% of T32 trainees URM and 36% women, as well as in terms of career
outcomes with 60% T32 alumni in academic positions and 40% in industrial R&D positions, all in areas
directly related to NIBIB priorities in biomedical imaging and bioengineering technologies.
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DOI:
10.1097/j.pain.0000000000001171
发表时间:
2018-05
期刊:
Pain
影响因子:
7.4
作者:
[Albrecht DS, Ahmed SU, Kettner NW, Borra RJH, Cohen-Adad J, Deng H, Houle TT, Opalacz A, Roth SA, Melo MFV, Chen L, Mao J, Hooker JM, Loggia ML, Zhang Y]
通讯作者:
Zhang Y
DOI:
10.1080/00268976.2012.718379
发表时间:
2013
期刊:
Molecular physics
影响因子:
1.7
作者:
[Mananga ES, Reid AE]
通讯作者:
Reid AE
DOI:
10.1371/journal.pone.0256749
发表时间:
2021
期刊:
PloS one
影响因子:
3.7
作者:
[Leaston J, Ferris CF, Kulkarni P, Chandramohan D, van de Ven AL, Qiao J, Timms L, Sepulcre J, El Fakhri G, Ma C, Normandin MD, Gharagouzloo C]
通讯作者:
Gharagouzloo C
DOI:
10.1021/acschemneuro.6b00056
发表时间:
2016-04-20
期刊:
ACS chemical neuroscience
影响因子:
5
作者:
[Albrecht DS, Granziera C, Hooker JM, Loggia ML]
通讯作者:
Loggia ML
Positive Connectivity Predicts the Dynamic Intrinsic Topology of the Human Brain Network.
正连接性预测人脑网络的动态内在拓扑。
DOI:
10.3389/fnsys.2018.00038
发表时间:
2018
期刊:
Frontiers in systems neuroscience
影响因子:
3
作者:
[Qian,Jingyu, Diez,Ibai, Ortiz-Terán,Laura, Bonadio,Christian, Liddell,Thomas, Goñi,Joaquin, Sepulcre,Jorge]
通讯作者:
Sepulcre,Jorge
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