Eztended Normalized Mutual Information for Lung SPECT - CT Registration

摘要：

In this paper an extension of the normalized mutual information is proposed to register standalone obtained low dose CT with already superimposed lung inhalation SPECT and perfusion SPECT images. In order to validate our method, superimposed inhalation SPECT, perfusion SPECT and low dose CT image triples were collected obtained by a hybrid SPECT/CT camera at the same time. A known transformation was applied to the low dose CT to simulate a misalignment, followed by an optimal transformation search performing our extended normalized mutual information-based (eNMI) method. For comparison and evaluation, the low dose CT was also registered to both inhalation and perfusion images one-by-one applying a dual-normalized mutual information-based (dNMI) method. Comparative results have shown that our eNMI method worked with minimal registration error and number of iterations, hence it can be successfully applied to stand alone performed low dose CT -SPECT registrations.

作者: Laszlo Papp Maaz Zuhayra Eberhard Henze Ulf Luetzen

作者单位: Department of Radiology and Nuclear Medicine,UK-SH Campus Kiel,Germany Mediso Medical Imaging System Department of Radiology and Nuclear Medicine,UK-SH Campus Kiel,Germany

会议类型: 国际会议

会议名称: The 3rd International Conference on Bioinformatics and Biomedical Engineering(iCBBE 2009)(第三届生物信息与生物医学工程国际会议)

会议地点: 北京

会议语种:英文

页码: 1-3

在线出版日期: 2009-06-11（万方平台首次上网日期，不代表论文的发表时间）