Iowa Lung Imaging Training Program

爱荷华州肺部影像培训计划

• 批准号: 10681405
• 负责人: ERIC Alfred HOFFMAN
• 金额: $ 34.53万
• 依托单位: UNIVERSITY OF IOWA
• 依托单位国家: 美国
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-08-01 至 2025-07-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10681405
• 关键词: Iowa; Training Programs; lung imaging

Project Summary/Abstract The University of Iowa Lung Imaging Training Program will prepare pre-doctoral and post- doctoral trainees to explore questions related to the respiratory system and lung disease using medical imaging, image processing, and computational modeling. The program will encourage trainees to pursue careers related to lung disease research. Program participants will attain expertise in medical image acquisition, novel imaging hardware, medical image processing, software development, and computational modeling. Each trainee will receive individualized attention and assistance with respect to curriculum selection, program performance and successful completion, and career planning and development. Program trainees will have access to the extensive resources and facilities that make the University of Iowa a top-ranked institution in lung health science research, including a number of well-funded multidisciplinary research programs and graduate education programs such as the Institute for Clinical and Translational Science Graduate Program in Translational Biomedicine and the Iowa Institute for Biomedical Imaging. Program mentors are drawn from 14 different academic and clinical departments across campus, spanning three different Colleges. The leadership and faculty of this training program have a notable history of effective collaboration in recruiting, retaining, and training pre-doctoral and post-doctoral fellows and have a strong interest in developing the next generation of scientists and engineers with the requisite skills to address urgent problems related to lung disease.

项目摘要/摘要 爱荷华大学的肺部成像培训计划将为博士后和博士后准备 博士生探讨与呼吸系统和肺部疾病有关的问题 医学成像、图像处理和计算建模。该计划将鼓励 受训人员从事与肺部疾病研究相关的职业。 计划参与者将获得医学图像采集、新型成像硬件、 医学图像处理、软件开发和计算建模。每位实习生 将在课程选择、课程安排等方面得到个性化的关注和帮助 表现和成功完成，以及职业生涯规划和发展。计划 学员将有机会接触到使该大学 爱荷华州是肺健康科学研究的顶级机构，包括一些资金雄厚的 多学科研究计划和研究生教育计划，如 转化型生物医学与爱荷华州临床与转化学研究生项目 生物医学成像研究所。 项目导师来自14个不同的学术和临床科室 校园，横跨三所不同的学院。该培训计划的领导层和教职员工 在招聘、留住和培训博士前方面有显著的合作历史 和博士后研究员，并对开发下一代 具备解决与肺部有关的紧急问题所需技能的科学家和工程师 疾病。

项目成果

Early versus late intubation in COVID-19 patients failing helmet CPAP: A quantitative computed tomography study.

• DOI: 10.1016/j.resp.2022.103889
• 发表时间: 2022-07
• 期刊: Respiratory physiology & neurobiology
• 影响因子: 2.3
• 作者: Ball L;Robba C;Herrmann J;Gerard SE;Xin Y;Pigati M;Berardino A;Iannuzzi F;Battaglini D;Brunetti I;Minetti G;Seitun S;Vena A;Giacobbe DR;Bassetti M;Rocco PRM;Cereda M;Castellan L;Patroniti N;Pelosi P;GECOVID Group
• 通讯作者: GECOVID Group

Computed tomography assessment of PEEP-induced alveolar recruitment in patients with severe COVID-19 pneumonia.

• DOI: 10.1186/s13054-021-03477-w
• 发表时间: 2021-02-24
• 期刊: Critical care (London, England)
• 作者: Ball L;Robba C;Maiello L;Herrmann J;Gerard SE;Xin Y;Battaglini D;Brunetti I;Minetti G;Seitun S;Vena A;Giacobbe DR;Bassetti M;Rocco PRM;Cereda M;Castellan L;Patroniti N;Pelosi P;GECOVID (GEnoa COVID-19) group
• 通讯作者: GECOVID (GEnoa COVID-19) group

Factors Affecting Radiation Dose in Computed Tomography Angiograms for Pulmonary Embolism: A Retrospective Cohort Study.

影响肺栓塞的计算机断层扫描血管造影术中辐射剂量的因素：回顾性队列研究。

• DOI: 10.25259/jcis_168_2020
• 发表时间: 2020
• 期刊: Journal of clinical imaging science
• 影响因子: 0.9
• 作者: Nagpal P;Priya S;Eskandari A;Mullan A;Aggarwal T;Narayanasamy S;Parashar K;Bhat AP;Sieren JC
• 通讯作者: Sieren JC

Lung distribution of gas and blood volume in critically ill COVID-19 patients: a quantitative dual-energy computed tomography study.

• DOI: 10.1186/s13054-021-03610-9
• 发表时间: 2021-06-21
• 期刊: Critical care (London, England)
• 作者: Ball L;Robba C;Herrmann J;Gerard SE;Xin Y;Mandelli M;Battaglini D;Brunetti I;Minetti G;Seitun S;Bovio G;Vena A;Giacobbe DR;Bassetti M;Rocco PRM;Cereda M;Rizi RR;Castellan L;Patroniti N;Pelosi P;Collaborators of the GECOVID Group
• 通讯作者: Collaborators of the GECOVID Group

Analysis of Cerebral Aneurysm Wall Tension and Enhancement Using Finite Element Analysis and High-Resolution Vessel Wall Imaging.

• DOI: 10.3389/fneur.2021.764063
• 发表时间: 2021
• 期刊: Frontiers in neurology
• 影响因子: 3.4
• 作者: Galloy AE;Raghuram A;Nino MA;Varon Miller A;Sabotin R;Osorno-Cruz C;Samaniego EA;Raghavan SML;Hasan D
• 通讯作者: Hasan D