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An Image Registration Method for Head CTA and MRA Images Using Mutual Information on Volumes of Interest

Image registration is an important and a fundamental task in computer vision and image processing field. For example, to make a surgical plan for head operation, the surgeons should gain more detailed information from CT angiography (CTA) and MR angiography (MRA) images. And the abnormalities can be easily detected from the fusion image which is obtained from two different modalities. One of the multiple modal image registration methods is matching the CTA and MRA, by which the image of head vascular could be enhanced. In general, the procedure for fusion is completed manually. It is time-consuming and subjective. Particularly the anatomical knowledge is required as well. Therefore, the development of automatic registration methods is expected in medical fields. In this paper, we propose a method for high accurate registration, which concentrates the structure of head vascular. We use 2-D projection images and restrict volume of interests to improve the processing affection. In experiments, we performed our proposed method for registration on five sets of CTA and MRA images and a better result from our previous method is obtained.SCIS&ISIS 2014 : Joint 7th International Conference on Soft Computing and Intelligent Systems and 15th International Symposium on Advanced Intelligent, December 3-6, 2014, Kitakyushu, Japa

An Image Registration Method for Head CT and MR Imaging Based on Optimal Retrieval

Image registration is an important problem and a fundamental task in com-puter vision and image processing field. Recently, many image registration techniques are introduced such as PET with CT image and abnormalities can be easily detected by using image information. One of the multi modal images, CT and MR imaging of the head for diagnosis and surgical planning indicates that physicians and surgeons gain impor- tant information from these modalities. In radiotherapy planning, manual registration techniques are performed on MR and CT images of the brain. In general, physicians segment the volumes of interest (VOIs) from each set of slices on the MR and CT im- ages manually. However, manual registration of the object may require several hours for analysis based on anatomical knowledge. In this paper, we describes a new method for automatic registration of head images which is obtained CT and MRI by using an optimal retrieval on neighbor VOIs in several extracted data and maximization of mutual information. In the experimental results, we can reduce the computational times. The primary objective of this study is to increase accuracy of the registration and reduce the computational processing time

Comparative morpho-functional study in the digestive organs of the Antarctic rock cod, Trematomus bernacchii , in relation to phylogeny

第2回極域科学シンポジウム/第33回極域生物シンポジウム 11月17日（木） 統計数理研究所 3階リフレッシュフロ