Quantification of morphological change of cerebral blood vessels using three-dimensional fractal analysis and magnetic resonance angiography

使用三维分形分析和磁共振血管造影量化脑血管形态变化

• 批准号: 10670855
• 负责人: IKEZOE Junpei
• 金额: $ 1.86万
• 依托单位: Ehime University
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Scientific Research (C)
• 财政年份: 1998
• 资助国家: 日本
• 起止时间: 1998 至 2000
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-10670855/
• 关键词: cerebral blood vessels; fractal analysis; quantification; morphological change; magnetic resonance; angiography; 磁気共鳴血管撮影法; 三次元画像

Magnetic resonance angiography (MRA) has currently played a useful role as a noninvasive method of surveying vascular anatomy. In this study, we developed an automated seeded region growing algorithm for extraction of blood vessles from MRA data. In the conventional region growing algorithm, the user must manually place a seed point within a large blood vessel and also input the segmentation threshold. Furthermore, these processes must be repeated with a different set of seeds and threshold until the satisfactory results are obtained. Thus, this method is time- consuming and the results obtained by this method are highly subjective to the user. With our algorithm, binary images were firstly generated by thresholding the original MRA data to roughly obtained images of blood vessels, and then the skeletons were used for region growing. Our method extracted blood vessels automatically and stably, and the segmentation leakage could be largely suppressed. In conclusion, our automated seeded region growing algorithm appears to be useful for extracting and displaying blood vessels.

磁共振血管成像(MRA)作为一种非侵入性的血管解剖测量方法，目前已经发挥了重要的作用。在这项研究中，我们开发了一种自动种子区域生长算法，用于从MRA数据中提取血管。在传统的区域生长算法中，用户必须手动将种子点放置在大血管内，并输入分割阈值。此外，必须用不同的种子和阈值重复这些过程，直到获得满意的结果。因此，该方法是耗时的，并且通过该方法获得的结果对用户具有高度的主观性。该算法首先对原始MRA数据进行二值化处理，得到粗略的血管图像，然后利用骨架进行区域生长。该方法自动、稳定地提取血管，并能很大程度上抑制分割泄漏。总之，我们的自动种子区域生长算法对于提取和显示血管似乎是有用的。

项目成果

Nagao M,Murase K,Ichiki T.Ikezoe J: "Quantitative analysis of Technegas SPECT : evaluation of regional severity of emphysema"Journal of Nuclear Medicine. 41. 590-595 (2000)

Nagao M，Murase K，Ichiki T.Ikezoe J：“Technegas SPECT 的定量分析：肺气肿区域严重程度的评估”核医学杂志。

Murase K,Mochizuki T,Kikuchi T,Ikezoe J: "Kinetic parameter estimation from campactmact models using a genetic algorithin"Nucl Med Commun. 20. 925-932 (1999)

Murase K、Mochizuki T、Kikuchi T、Ikezoe J：“使用遗传算法对 Campactmact 模型进行动力学参数估计”Nucl Med Commun。

Murase K,Inoue T,Fujicka H,Ishimura Y,Akamune A: "An allernative approach to estimation of the brain perfusion index for measurement of cerebral blood flow"Eur.J Nucl Med. 26. 1333-1339 (1999)

Murase K、Inoue T、Fujicka H、Ishimura Y、Akamune A：“一种估计脑灌注指数以测量脑血流量的替代方法”Eur.J Nucl Med。

都築,泉田,村瀬,村上,三木,池添: "MRI画像における血管の特徴抽出に関する研究" 電子情報通信学会中四国支部会誌. 印刷中. (1999)

Tsuzuki、Izumida、Murase、Murakami、Miki、Ikezoe：“MRI 图像中血管特征提取的研究”IEICE Chugoku-Shikoku Branch Journal（1999 年）。

Nagao M,Murase K,Ichiki T,Ikezone J: "Relationship between regional sererity of emphysema and coronary heart disease"Annals of Nuclear Medicine. 14. 369-372 (2000)

Nagao M，Murase K，Ichiki T，Ikezone J：“肺气肿局部严重性与冠心病之间的关系”核医学年鉴。