DocumentCode
2029310
Title
Registration of multi-modality medical images by soft computing approach
Author
Hata, Yuki ; Kobashi, Shoji ; Hirano, Shoji ; Ishikawa, Makoto
Author_Institution
Dept. of Comput. Eng., Himeji Inst. of Technol., Hyogo, Japan
Volume
3
fYear
1999
fDate
1999
Firstpage
878
Abstract
The paper introduces registration systems of multi-modality medical images and describes the practical systems related to brain science. A possibility for applying soft computing techniques is also shown. First we describe a registration system of computed tomography image and magnetic resonance angiography image of a human brain. This registration system is used to demonstrate anatomical location information of vascular lesion from the surface of the human skull. We next describe a registration system of magnetic resonance (MR) image and positron emission transmission (PET) image. The MR image can produce neuroanatomical information, and the PET image quantifies metabolic pathways in vivo. In both systems, we describe a possibility of soft computing techniques
Keywords
biomedical MRI; evolutionary computation; fuzzy logic; image registration; medical image processing; positron emission tomography; MR image; PET image; anatomical location information; brain science; computed tomography image; human brain; human skull; magnetic resonance angiography image; magnetic resonance image; metabolic pathways; multi-modality medical image registration; multi-modality medical images; neuroanatomical information; positron emission transmission image; registration systems; soft computing approach; soft computing techniques; vascular lesion; Angiography; Biomedical imaging; Computed tomography; Humans; In vivo; Lesions; Magnetic resonance; Positron emission tomography; Radioactive decay; Skull;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Information Processing, 1999. Proceedings. ICONIP '99. 6th International Conference on
Conference_Location
Perth, WA
Print_ISBN
0-7803-5871-6
Type
conf
DOI
10.1109/ICONIP.1999.844653
Filename
844653
Link To Document