SBIR Phase I: Multi-Material 3D Printing of Personalized Medical Simulation Models
SBIR 第一阶段:个性化医疗模拟模型的多材料 3D 打印
基本信息
- 批准号:1722000
- 负责人:
- 金额:$ 22.5万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2017
- 资助国家:美国
- 起止时间:2017-07-01 至 2019-02-28
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
This SBIR Phase I project will develop the necessary technology and manufacturing workflows to provide medical professionals with extremely realistic physical models of tissues and organs. The models will be manufactured rapidly (within a few hours), inexpensively, and on-demand. They will be patient-specific based on the patient?s CT and MRI scan data. This will have profound implications on the planning of complex medical procedures such as tumor removal and will enable medical professionals and their teams to practice patient-specific surgical scenarios. This will improve surgical outcome, generate efficiencies in the operating room and decrease medical errors which, by some accounts, are the third largest cause of death in the United States. The ability to 3D print realistic human organ models will also provide medical students with a way to practice medical procedures with a wide degree of diversity. This will accelerate the learning rate and expand the breadth of training experiences. Similarly, the models will provide a way for medical professionals to practice rare, high-risk procedures on-demand. The proposed 3D models will become a central part of the medical simulation toolbox and will enable a new generation of surgical planning and education.The ability to manufacture extremely realistic physical models rapidly, inexpensively, and on-demand relies on a novel multimaterial additive manufacturing process with a closed-feedback loop enabled by machine vision. This new process manufactures objects layer by layer, each layer made from a discrete set of elements, where each element is built from one material from a pallette of materials. The use of the closed-feedback loop system allows incorporating both liquids and solids with a wide range of mechanical and appearance properties. The development of a material palette that is necessary to mimic properties of real tissues will be a crucial part of the project. This material palette will be expanded by spatially combining base materials into composite structures. The second main thrust of the project relies on a software design workflow that translates geometric and material specifications describing a simulation model (e.g., an organ or a tissue) into multimaterial volumetric data. The volumetric data will be used as input to the multimaterial printing platform. The new design workflow requires development of modeling approaches that go beyond traditional, boundary-based CAD representations.
SBIR第一阶段项目将开发必要的技术和制造工作流程,为医疗专业人员提供极其逼真的组织和器官物理模型。这些模型将快速(在几个小时内),廉价和按需制造。它们将根据患者的具体情况而定?的CT和MRI扫描数据。 这将对肿瘤切除等复杂医疗程序的规划产生深远的影响,并将使医疗专业人员及其团队能够实践患者特定的手术场景。这将改善手术效果,提高手术室的效率,减少医疗差错,据某些统计,医疗差错是美国第三大死亡原因。3D打印逼真的人体器官模型的能力也将为医学生提供一种实践具有广泛多样性的医疗程序的方法。这将加快学习速度,扩大培训经验的广度。 同样,这些模型将为医疗专业人员提供一种按需实施罕见、高风险手术的方法。拟议的3D模型将成为医疗模拟工具箱的核心部分,并将实现新一代的手术规划和教育。快速、廉价和按需制造极其逼真的物理模型的能力依赖于一种新型的多材料增材制造工艺,该工艺具有由机器视觉实现的闭环反馈回路。这种新工艺逐层制造物体,每一层都由一组离散的元素组成,其中每个元素都由一组材料中的一种材料制成。闭环系统的使用允许结合具有广泛机械和外观特性的液体和固体。开发一种模拟真实的组织特性所必需的材料调色板将是该项目的关键部分。这种材料调色板将通过在空间上将基础材料组合成复合结构来扩展。该项目的第二个主要推力依赖于软件设计工作流程,该工作流程将描述模拟模型的几何和材料规范(例如,器官或组织)转换成多材料体积数据。体积数据将用作多材料打印平台的输入。新的设计工作流程需要开发超越传统的基于边界的CAD表示的建模方法。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Davide Marini其他文献
Pediatric Coronary Artery Bypass After Arterial Switch Operation: Noninvasive Evaluation With ECG-Gated 64-Slice CT in Routine Practice
- DOI:
10.1016/j.athoracsur.2007.05.072 - 发表时间:
2007-10-01 - 期刊:
- 影响因子:
- 作者:
Monia Jemmali;Davide Marini;Giulio Calcagni;Francis Brunelle;Daniel Sidi;Damien Bonnet;Phalla Ou - 通讯作者:
Phalla Ou
Inkbit Q&A – Taking 3D printing to the next level
- DOI:
10.1016/j.repl.2021.04.001 - 发表时间:
2021-05-01 - 期刊:
- 影响因子:
- 作者:
Callum McGuire;Davide Marini - 通讯作者:
Davide Marini
320 Clinical usefulness of cardiac MRI for making the definitive diagnosis of myocarditis in children
- DOI:
10.1016/s1878-6480(10)70322-0 - 发表时间:
2010-01-01 - 期刊:
- 影响因子:
- 作者:
Phalla Ou;Davide Marini;Fanny Bajolle;Francis Brunelle;Damien Bonnet;Daniel Sidi - 通讯作者:
Daniel Sidi
Fetal Hemodynamics, Early Survival, and Neurodevelopment in Patients With Cyanotic Congenital Heart Disease.
紫绀型先天性心脏病患者的胎儿血流动力学、早期生存和神经发育。
- DOI:
- 发表时间:
2024 - 期刊:
- 影响因子:24
- 作者:
Fu;Liqun Sun;J. V. van Amerom;Sharon Portnoy;Davide Marini;A. Saini;N. Milligan;J. M. Lim;B. Saini;T. Selvanathan;Vanna Kazazian;R. Sananes;E. Jaeggi;J. Kingdom;C. Macgowan;Linh G Ly;V. Chau;Steven P. Miller;M. Seed - 通讯作者:
M. Seed
Unusual systemic venous return with absence of superior caval veins
- DOI:
10.1016/j.jtcvs.2006.12.020 - 发表时间:
2007-05-01 - 期刊:
- 影响因子:
- 作者:
Phalla Ou;Giulio Calcagni;Davide Marini;Jerome Le Bidois;Pietro Gallo;Francis Brunelle;Damien Bonnet - 通讯作者:
Damien Bonnet
Davide Marini的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
相似国自然基金
Baryogenesis, Dark Matter and Nanohertz Gravitational Waves from a Dark
Supercooled Phase Transition
- 批准号:24ZR1429700
- 批准年份:2024
- 资助金额:0.0 万元
- 项目类别:省市级项目
ATLAS实验探测器Phase 2升级
- 批准号:11961141014
- 批准年份:2019
- 资助金额:3350 万元
- 项目类别:国际(地区)合作与交流项目
地幔含水相Phase E的温度压力稳定区域与晶体结构研究
- 批准号:41802035
- 批准年份:2018
- 资助金额:12.0 万元
- 项目类别:青年科学基金项目
基于数字增强干涉的Phase-OTDR高灵敏度定量测量技术研究
- 批准号:61675216
- 批准年份:2016
- 资助金额:60.0 万元
- 项目类别:面上项目
基于Phase-type分布的多状态系统可靠性模型研究
- 批准号:71501183
- 批准年份:2015
- 资助金额:17.4 万元
- 项目类别:青年科学基金项目
纳米(I-Phase+α-Mg)准共晶的临界半固态形成条件及生长机制
- 批准号:51201142
- 批准年份:2012
- 资助金额:25.0 万元
- 项目类别:青年科学基金项目
连续Phase-Type分布数据拟合方法及其应用研究
- 批准号:11101428
- 批准年份:2011
- 资助金额:23.0 万元
- 项目类别:青年科学基金项目
D-Phase准晶体的电子行为各向异性的研究
- 批准号:19374069
- 批准年份:1993
- 资助金额:6.4 万元
- 项目类别:面上项目
相似海外基金
SBIR Phase I: Combating Multi-Drug Resistant Gram-negative Healthcare-Associated Infections
SBIR 第一阶段:对抗多重耐药革兰氏阴性医疗相关感染
- 批准号:
2310453 - 财政年份:2024
- 资助金额:
$ 22.5万 - 项目类别:
Standard Grant
SBIR Phase I: Advanced multi-locus genome engineering to enable consolidated bioprocessing for the low-cost conversion of lignocellulose to hydrocarbon fuels and products
SBIR 第一阶段:先进的多位点基因组工程,实现整合生物加工,将木质纤维素低成本转化为碳氢化合物燃料和产品
- 批准号:
2112323 - 财政年份:2023
- 资助金额:
$ 22.5万 - 项目类别:
Standard Grant
SBIR Phase I: Path Planning for Multi-target Search and Localization in Co-Robotic Architectures
SBIR 第一阶段:协作机器人架构中多目标搜索和定位的路径规划
- 批准号:
2325364 - 财政年份:2023
- 资助金额:
$ 22.5万 - 项目类别:
Standard Grant
SBIR Phase I: Development of a multi-output machine learning modeling framework for a hybridized perennial cover crop for specialty crop systems
SBIR 第一阶段:为特种作物系统的杂交多年生覆盖作物开发多输出机器学习建模框架
- 批准号:
2212482 - 财政年份:2023
- 资助金额:
$ 22.5万 - 项目类别:
Standard Grant
SBIR Phase II: Multi Sub-System Miniaturization and Development for Semi-Truck Fuel Savings Device
SBIR第二期:半卡车节油装置多子系统小型化及开发
- 批准号:
2213299 - 财政年份:2023
- 资助金额:
$ 22.5万 - 项目类别:
Cooperative Agreement
SBIR Phase I: Multi-depth-camera volumetric video recording and streaming
SBIR 第一阶段:多深度相机体积视频录制和流媒体
- 批准号:
2111631 - 财政年份:2022
- 资助金额:
$ 22.5万 - 项目类别:
Standard Grant
SBIR Phase I: Multi-principal element alloy fillers for toughness enhancement in repair of Ni-base superalloy components
SBIR 第一阶段:用于镍基高温合金部件修复中增强韧性的多主元合金填料
- 批准号:
2208777 - 财政年份:2022
- 资助金额:
$ 22.5万 - 项目类别:
Standard Grant
SBIR Phase II: High Performance Millimeter-Wave Radiofrequency (RF) Front-End Technology for Multi-Gigabit Wireless Communications
SBIR 第二阶段:用于多千兆位无线通信的高性能毫米波射频 (RF) 前端技术
- 批准号:
2126852 - 财政年份:2022
- 资助金额:
$ 22.5万 - 项目类别:
Cooperative Agreement
SBIR PHASE I TOPIC #439 - ADVANCED SAMPLE PROCESSING PLATFORMS FOR DOWNSTREAM SINGLE-CELL MULTI-OMIC ANALYSIS
SBIR 第一阶段主题
- 批准号:
10724107 - 财政年份:2022
- 资助金额:
$ 22.5万 - 项目类别:
SBIR Phase I: Autonomous Vehicle Multi-Sensor Obstacle Detection Safety System
SBIR第一阶段:自动驾驶汽车多传感器障碍物检测安全系统
- 批准号:
2111628 - 财政年份:2022
- 资助金额:
$ 22.5万 - 项目类别:
Standard Grant














{{item.name}}会员




