2008 IEEE International Symposium on Biomedical Imaging (ISBI)

描述(由申请人提供)：生物医学成像国际研讨会(ISBI)是一个论坛，供对生物医学成像的计算和建模方面特别感兴趣的研究人员参加。重点强调有可能适用于多种成像方式和不同尺度成像的方法。主题包括生物和解剖结构的物理、生物和统计建模、图像形成和重建、计算图像分析、统计图像分析、可视化和图像质量评估。会议旨在促进不同成像模式和规模之间的方法学交流，应用范围从纳米、分子和细胞水平到小动物成像和宏观到全身临床系统。虽然许多医学成像会议关注的是特定的模式，但ISBI包括应用于生物和解剖成像模式的方法学，无论是新兴的还是成熟的。人们感兴趣的成像应用包括基因表达图谱、药物发现和传递、分子成像、脑功能图谱、计算神经解剖学、心血管成像和癌症成像。的一个主要目标 ISBI会议将把方法学与重要的医学和生物医学应用联系起来，来自 从微观到宏观的尺度。ISBI2008将于5月14日至17日举行，是由两个IEEE学会共同主办的系列活动的第五次：信号处理学会(SPS)和医学与生物工程学会(EMBS)。ISBI第一次会议于2002年7月举行，随后的会议分别于2004年、2006年和2007年4月举行。2002年的会议有500多人参加，美国国立卫生研究院院长埃利亚斯·泽胡尼博士和美国国立卫生研究院院长罗德里克·I·佩蒂格鲁博士致开幕词。前几届ISBI会议的成功对ISBI的未来是个好兆头。然而，这一领域的成功依赖于培训年轻的研究人员使用最先进的复杂计算或建模工具，并向研究人员社区通报医学成像方案和模式的最新进展。此外，生物医学成像领域固有的跨学科性质意味着没有一个单一的专业组织拥有大多数潜在参与者作为其成员。在这方面，在会议第一天提供的系列教程是一个重要组成部分，涵盖了非常不同的主题，在过去的几次会议上一直很受欢迎。这项提案要求提供资金，为在美国的学生和博士后研究员提供参加辅导的通行证。我们还将通过提供旅行津贴来鼓励新的研究人员(美国研究生、博士后研究员和5年前完成博士学位的初级教员)提交贡献的论文。 公共卫生相关声明(由申请者提供)：本次会议的主题是先进的成像方法和技术，有可能在未来的医疗设备和软件中改进患者的诊断和治疗。

DESCRIPTION (provided by the applicant): The International Symposium on Biomedical Imaging (ISBI) is a forum for researchers particularly interested in the computational and modeling aspects of biomedical imaging. The focus emphasizes methodologies that have the potential to be applicable to multiple imaging modalities and to imaging at different scales. Topics include physical, biological and statistical modeling of biological and anatomical structures, image formation and reconstruction, computational image analysis, statistical image analysis, visualization, and image quality assessment. The meeting aims to facilitate cross-fertilization of methodologies between different imaging modalities and scales, with applications ranging from the nano, molecular and cellular levels through small-animal imaging and macroscopic to whole-body clinical systems. Whereas many medical imaging meetings focus on particular modalities, ISBI includes methodologies applied to biological and anatomical imaging modalities, either emerging or well established. Imaging applications of interest include gene expression mapping, drug discovery and delivery, molecular imaging, functional brain mapping, computational neuro-anatomy, cardiovascular imaging, and cancer imaging. A principal goal of the ISBI conference is to connect methodologies with important medical and biomedical applications, from microscopic to macroscopic scales. ISBI 2008, to be held May 14th -17th, is the fifth in a series cosponsored by two IEEE societies: the Signal Processing Society (SPS) and the Engineering in Medicine and Biology Society (EMBS). The inaugural ISBI meeting was held in July 2002 and subsequent ones in April 2004, 2006 and 2007. With over 500 attendees, the 2002 meeting featured opening addresses from Dr. Elias Zerhouni, Director of NIH, and Dr. Roderic I. Pettigrew, Director of NIBIB. The success of the previous ISBI meetings bodes well for the future of ISBI. However, the success of this field relies on training young investigators to work with state-of-the-art sophisticated computational or modeling tools and on informing the researcher community of the latest progress in medical imaging protocols and modalities. In addition, the inherently interdisciplinary nature of the biomedical imaging field means that no single professional organization has the majority of potential participants as its members. In this context, the tutorials series, covering very diverse topics and offered on the first day of the conference, is an important component, which has been very popular in the past occurrences. This proposal requests funds to provide passes for US-based students and post-doctoral fellows to attend the tutorials. We will also encourage participation by new investigators (US graduate students, postdoctoral fellows and junior faculty who completed their PhD less than 5 years ago) by providing travel stipends to present contributed papers. PUBLIC HEALTH RELEVANCE STATEMENT (provided by applicant): The topics of this conference are advanced imaging methods and technologies that have the potential to improve patient diagnosis and treatment in future medical devices and software.