课题基金 / 基金详情

3 T Whole Body Magnetic Resonance Scanner

3 T Whole Body Magnetic Resonance Scanner
3T全身磁共振扫描仪
批准号:
6732435
负责人:
PONNADA A NARAYANA
金额:
$50.0万
依托单位国家:
美国
项目类别:
财政年份:
2004
资助国家:
美国
项目状态:
已结题
起止时间:
2004-04-15 至 2005-04-14

项目摘要

项目成果

PONNADA A NARAYANA的其他基金

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DESCRIPTION (provided by applicant): This application seeks partial funding from NIH and NSF for purchasing a 3 Tesla, whole body magnetic resonance scanner for in vivo imaging (MRI) and spectroscopy (MRS) in humans and nonhuman primates. The scanner will be housed in the University of Texas Medical School at Houston, which is located in the Texas Medical Center, home of four major research institutions and five hospitals. This scanner will be equipped with body and head RF coils and high performance gradient system that is capable of producing maximum gradient amplitudes of 40 mT/m with a slew rate of 200 mT/m/s. In addition, it will incorporate five-second order room temperature shims for improved field homogeneity. This high performance system will allow us to implement advanced MR imaging techniques such as diffusion tensor imaging (DTI), functional MRI (fMRI), and spectroscopic imaging (MRSI). Processing software for DTI, fMRI, and MRSI (2D, 3D, multislice and with a variety of k-space scanning techniques) will be included with the scanner. A full research agreement with the manufacturer will be executed for access to all the source codes for the pulse sequences and reconstruction algorithm to modify the existing sequences and implement newer sequences on the scanner. These will be made available to all the users. In addition, the scanner will provide access to the raw data for testing advanced image processing techniques. This high field and high performance MR scanner will be used for investigating 1) various neurological disorders, 2) techniques for improving learning and development in normal school age children by fusing information from MRI and MEG, and 3) advanced automatic image processing. The neurological disorders that will be investigated include neurodevelopmental disorders in humans and nonhuman primates, psychiatric disorders, and demyelinating diseases such as multiple sclerosis. Twenty-one projects by fourteen users who are Pl's on NIH and NSF funded grants with significant MR component have been identified. While the main thrust of the proposed projects is neuroimaging, we anticipate that future projects would include body imaging, particularly cardiovascular imaging. Strong institutional commitment and financial plans for operating the scanner, particularly the long-term maintenance, are described.
期刊论文(27)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1016/j.mri.2014.04.002
发表时间: 2014-09
期刊: MAGNETIC RESONANCE IMAGING
影响因子: 2.5
作者: [Kamali, Arash, Hasan, Khader M., Adapa, Pavani, Razmandi, Azadeh, Keser, Zafer, Lincoln, John, Kramer, Larry A.]
通讯作者: Kramer, Larry A.
DOI: 10.1016/j.neuroimage.2011.07.024
发表时间: 2012-01-02
期刊: NEUROIMAGE
影响因子: 5.7
作者: [Nath, Audrey R., Beauchamp, Michael S.]
通讯作者: Beauchamp, Michael S.
Role of diffusion tensor imaging as an independent predictor of cognitive and language development in extremely low-birth-weight infants.
扩散张量成像作为极低出生体重婴儿认知和语言发展的独立预测因子的作用。
DOI: 10.3174/ajnr.a3725
发表时间: 2014
期刊: AJNR. American journal of neuroradiology
影响因子: --
作者: [Pogribna,U, Burson,K, Lasky,RE, Narayana,PA, Evans,PW, Parikh,NA]
通讯作者: Parikh,NA
Contrast enhanced MR venography with gadofosveset trisodium: evaluation of the intracranial and extracranial venous system.
钆磷维三钠对比增强磁共振静脉造影:颅内和颅外静脉系统的评估。
DOI: 10.1002/jmri.24409
发表时间: 2014
期刊: Journal of magnetic resonance imaging : JMRI
影响因子: --
作者: [Kramer,LarryA, Cohen,AlanM, Hasan,KhaderM, Heimbigner,JaredH, Barreto,AndrewD, Brod,StaleyA, Narayana,PonnadaA, Wolinsky,JerryS]
通讯作者: Wolinsky,JerryS
16
    Lesion Activity and Atrophy in Multiple Sclerosis: Analysis of Multi-center MRI
    Lesion Activity and Atrophy in Multiple Sclerosis: Analysis of Multi-center MRI
    Lesion Activity and Atrophy in Multiple Sclerosis: Analysis of Multi-center MRI
    Lesion Activity and Atrophy in Multiple Sclerosis: Analysis of Multi-center MRI