Research progress of MR imaging for prediction of CT imaging
10.13491/j.issn.1004-714X.2021.03.021
- VernacularTitle:MR图像预测CT图像研究进展
- Author:
Qianyi XI
1
,
2
,
3
;
Kai XIE
2
,
3
;
Liugang GAO
2
,
3
;
Jiawei SUN
2
,
3
;
Xinye NI
2
,
3
;
Zhuqing JIAO
4
Author Information
1. School of Microelectronics and Control Engineering, Changzhou University, Changzhou 213164 China
2. Department of Radiotherapy the Second People's Hospital of Changzhou Affiliated to Nanjing Medical University, Changzhou 213003 China
3. Central Laboratory of Medical Physics, Nanjing Medical University, Changzhou 213003 China.
4. School of Microelectronics and Control Engineering, Changzhou University, Changzhou 213164 China.
- Publication Type:ReviewArticles
- Keywords:
Cross-modal Prediction;
Atlas;
Image Segmentation T;
Deep Learning
- From:
Chinese Journal of Radiological Health
2021;30(3):366-370
- CountryChina
- Language:Chinese
-
Abstract:
Medical images can provide clinicans with accurate and comprehensive patients’ information. Morphological or functional abnormalities caused by various diseases can be manifested in many aspects. Although MR images and CT images can highlight the medical image data of different tissue structures of patients, single MR images or CT images cannot fully reflect the complexity of diseases. Using MR image to predict CT image is one of the cross-modal prediction of medical images. In this paper, the methods of MR image prediction for CTmage are classified into four categoriesincluding registration based on atlas, based on image segmentationmethod, based on learning method and based on deep learning method. In our research, we concluded that the method based on deep learning should bemore promoted in the future by compering the existing problems and future development of MR image predicting CT image method.
