A comprehensive computational framework for facilitating the radiological and surgical management of breast cancer
促进乳腺癌放射学和手术治疗的综合计算框架
基本信息
- 批准号:RGPIN-2017-05025
- 负责人:
- 金额:$ 1.75万
- 依托单位:
- 依托单位国家:加拿大
- 项目类别:Discovery Grants Program - Individual
- 财政年份:2020
- 资助国家:加拿大
- 起止时间:2020-01-01 至 2021-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Diagnosis and treatment have always been the two defining pillars of medicine, with the fidelity of the former being essential to the success of the latter. In particular, in cancer research, diagnosing the disease at its early stages is often associated with better prognosis and prolonged survival. For this reason, considerable efforts have been extended over the last few decades to develop accurate means of early diagnosis of oncological disorders. Among such methods and tools, medical imaging has evolved into a key component of modern health care upon which diagnosis of solid cancers is currently based. That being the case, the main focus of the present research program is to develop advanced, problem-tailored methods of medical image processing that enable clinicians to manage oncological disorders in a more effective way. The fundamental idea of the program stems from the fact that, from a clinical perspective, diagnosis and treatment of solid cancers are two intimately interwoven processes, which involve mutual decision making supported by the same objective information, such as that provided by medical imaging. Consequently, instead of devising separate solutions catering to the needs of either radiology or therapeutics, this program aims at developing a joint computational and visualization platform, which can be shared by both sides to facilitate their interaction towards improved health outcomes.
As a particular application, the present program focuses on breast cancer, which remains the most frequently diagnosed malignancy among Canadian women. Presently, both radiological and surgical management of breast cancer depend on several imaging modalities, among which are X-ray mammography and Magnetic Resonance Imaging (MRI). Based on different physical phenomena, however, the modalities produce images of a distinct and often supplementary nature. For this reason, several clinical applications require the content of such images to be properly “fused”. Such fusion is known to be a difficult problem, effective solutions to which are yet to be found. Moreover, the sublime sensitivity of breast MRI is still counterpoised by its relatively low specificity, which often results in redundant breast biopsies, with their associated phycological and economic burdens. To address this problem calls for the use of cutting-edge imaging technologies, such as diffusion MRI (dMRI). However, having demonstrated a proven ability to discriminate between benign and malignant tumours, dMRI still suffers from a number of artifacts which need to be resolved through further research. Finally, advanced imaging is still to be brought to the operating room, where it is much needed to improve the success of breast surgery through more accurate presurgical planning. A practical realization of this idea based on recent advances in visualization technologies constitutes another goal of this research program.
诊断和治疗一直是医学的两个决定性支柱,前者的忠诚对后者的成功至关重要。特别是,在癌症研究中,在早期阶段诊断疾病通常与更好的预后和延长的生存期有关。由于这个原因,在过去的几十年里,人们已经做出了相当大的努力来发展早期诊断肿瘤疾病的准确方法。在这些方法和工具中,医学成像已经发展成为现代卫生保健的一个关键组成部分,目前实体癌的诊断是基于它的。在这种情况下,目前研究项目的主要重点是开发先进的、针对问题的医学图像处理方法,使临床医生能够以更有效的方式管理肿瘤疾病。该计划的基本理念源于这样一个事实,即从临床角度来看,实体癌的诊断和治疗是两个密切交织的过程,其中涉及由相同的客观信息(例如医学成像提供的信息)支持的相互决策。因此,该项目不是针对放射学或治疗学的需求设计单独的解决方案,而是旨在开发一个联合的计算和可视化平台,双方可以共享该平台,以促进他们在改善健康结果方面的互动。
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)
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Michailovich, Oleg其他文献
Image Deblurring Using Derivative Compressed Sensing for Optical Imaging Application
- DOI:
10.1109/tip.2012.2190610 - 发表时间:
2012-07-01 - 期刊:
- 影响因子:10.6
- 作者:
Rostami, Mohammad;Michailovich, Oleg;Wang, Zhou - 通讯作者:
Wang, Zhou
Diffusion propagator estimation from sparse measurements in a tractography framework.
- DOI:
10.1007/978-3-642-40760-4_64 - 发表时间:
2013 - 期刊:
- 影响因子:0
- 作者:
Rathi, Yogesh;Gagoski, Borjan;Setsompop, Kawin;Michailovich, Oleg;Grant, P. Ellen;Westin, Carl-Fredrik - 通讯作者:
Westin, Carl-Fredrik
Blind deconvolution of medical ultrasound images: A parametric inverse filtering approach
- DOI:
10.1109/tip.2007.910179 - 发表时间:
2007-12-01 - 期刊:
- 影响因子:10.6
- 作者:
Michailovich, Oleg;Tannenbaum, Allen - 通讯作者:
Tannenbaum, Allen
Image segmentation using active contours driven by the Bhattacharyya gradient flow
- DOI:
10.1109/tip.2007.908073 - 发表时间:
2007-11-01 - 期刊:
- 影响因子:10.6
- 作者:
Michailovich, Oleg;Rathi, Yogesh;Tannenbaum, Allen - 通讯作者:
Tannenbaum, Allen
Tensor kernels for simultaneous fiber model estimation and tractography.
- DOI:
10.1002/mrm.22292 - 发表时间:
2010-07 - 期刊:
- 影响因子:3.3
- 作者:
Rathi, Yogesh;Malcolm, James G.;Michailovich, Oleg;Westin, Carl-Fredrik;Shenton, Martha E.;Bouix, Sylvain - 通讯作者:
Bouix, Sylvain
Michailovich, Oleg的其他文献
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{{ truncateString('Michailovich, Oleg', 18)}}的其他基金
A comprehensive computational framework for facilitating the radiological and surgical management of breast cancer
促进乳腺癌放射学和手术治疗的综合计算框架
- 批准号:
RGPIN-2017-05025 - 财政年份:2021
- 资助金额:
$ 1.75万 - 项目类别:
Discovery Grants Program - Individual
A comprehensive computational framework for facilitating the radiological and surgical management of breast cancer
促进乳腺癌放射学和手术治疗的综合计算框架
- 批准号:
RGPIN-2017-05025 - 财政年份:2019
- 资助金额:
$ 1.75万 - 项目类别:
Discovery Grants Program - Individual
A comprehensive computational framework for facilitating the radiological and surgical management of breast cancer
促进乳腺癌放射学和手术治疗的综合计算框架
- 批准号:
RGPIN-2017-05025 - 财政年份:2018
- 资助金额:
$ 1.75万 - 项目类别:
Discovery Grants Program - Individual
A comprehensive computational framework for facilitating the radiological and surgical management of breast cancer
促进乳腺癌放射学和手术治疗的综合计算框架
- 批准号:
RGPIN-2017-05025 - 财政年份:2017
- 资助金额:
$ 1.75万 - 项目类别:
Discovery Grants Program - Individual
Distributed processing of medical diagnostic data for early detection and classification of brain-related disorders
分布式处理医疗诊断数据,以早期检测和分类脑相关疾病
- 批准号:
341625-2012 - 财政年份:2016
- 资助金额:
$ 1.75万 - 项目类别:
Discovery Grants Program - Individual
Distributed processing of medical diagnostic data for early detection and classification of brain-related disorders
分布式处理医疗诊断数据,以早期检测和分类脑相关疾病
- 批准号:
341625-2012 - 财政年份:2015
- 资助金额:
$ 1.75万 - 项目类别:
Discovery Grants Program - Individual
Improving the quality and clinical value of digital pathology through advanced post-processing and quantitative analysis
通过先进的后处理和定量分析提高数字病理学的质量和临床价值
- 批准号:
470074-2014 - 财政年份:2014
- 资助金额:
$ 1.75万 - 项目类别:
Engage Grants Program
Distributed processing of medical diagnostic data for early detection and classification of brain-related disorders
分布式处理医疗诊断数据,以早期检测和分类脑相关疾病
- 批准号:
341625-2012 - 财政年份:2014
- 资助金额:
$ 1.75万 - 项目类别:
Discovery Grants Program - Individual
Distributed processing of medical diagnostic data for early detection and classification of brain-related disorders
分布式处理医疗诊断数据,以早期检测和分类脑相关疾病
- 批准号:
341625-2012 - 财政年份:2013
- 资助金额:
$ 1.75万 - 项目类别:
Discovery Grants Program - Individual
Distributed processing of medical diagnostic data for early detection and classification of brain-related disorders
分布式处理医疗诊断数据,以早期检测和分类脑相关疾病
- 批准号:
341625-2012 - 财政年份:2012
- 资助金额:
$ 1.75万 - 项目类别:
Discovery Grants Program - Individual
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促进乳腺癌放射学和手术治疗的综合计算框架
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- 资助金额:
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Discovery Grants Program - Individual
A comprehensive computational framework for facilitating the radiological and surgical management of breast cancer
促进乳腺癌放射学和手术治疗的综合计算框架
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