Name
Title | ||
|---|---|---|
An image registration method for head CTA and MRA images using mutual inforamtion on volumes of interest |
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/SCIS-ISIS.2014.7044848 | SCIS&ISIS |
Keywords | Field | DocType |
biomedical mri,computer vision,image fusion,image registration,medical image processing,ct angiography,mr angiography,mra images,automatic registration methods,head cta,head vascular,image processing,image registration method,medical fields,volumes of interest mutual information,medical image,mutual infomation,volume of interest | Modalities,Volume of interest,Computer vision,Computer science,Artificial intelligence,Computer vision and image processing,Modal,Image registration,Angiography | Conference |
ISSN | Citations | PageRank |
2377-6870 | 0 | 0.34 |
References | Authors | |
5 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| y yamamura | 1 | 0 | 0.34 |
| Hyoungseop Kim | 2 | 293 | 36.05 |
| Joo Kooi Tan | 3 | 105 | 29.88 |
| Seiji Ishikawa | 4 | 342 | 49.06 |
| Akiyoshi Yamamoto | 5 | 15 | 3.46 |