Deformable Registration for Generating Dissection Image of an Intestine from Annular Image Sequence

2005 ◽  
pp. 271-280 ◽  
Author(s):  
Suchit Pongnumkul ◽  
Ryusuke Sagawa ◽  
Tomio Echigo ◽  
Yasushi Yagi
Keyword(s):  
Image Sequence ◽  
Deformable Registration

Image Sequence Enhancements Based on the Normal Component of Image Motion

1982 ◽  
Author(s):  
Larry S. Davis ◽  
Hu-chen Xie ◽  
Azriel Rosenfeld
Keyword(s):  
Normal Component ◽  
Image Sequence ◽  
Image Motion

scholarly journals Quantitative Assessment of Shape Deformation of Regional Cranial Bone for Evaluation of Surgical Effect in Patients with Craniosynostosis

2021 ◽  
Vol 11 (3) ◽  
pp. 990
Author(s):  
Min Jin Lee ◽  
Helen Hong ◽  
Kyu Won Shim
Keyword(s):  
Quantitative Assessment ◽  
Deformable Registration ◽  
Occipital Bone ◽  
Cranial Bone ◽  
Shape Deformation ◽  
Surface Model ◽  
Cephalic Index ◽  
Skull Shape ◽  
Quantification Method ◽  
Parietal Bones

Surgery in patients with craniosynostosis is a common treatment to correct the deformed skull shape, and it is necessary to verify the surgical effect of correction on the regional cranial bone. We propose a quantification method for evaluating surgical effects on regional cranial bones by comparing preoperative and postoperative skull shapes. To divide preoperative and postoperative skulls into two frontal bones, two parietal bones, and the occipital bone, and to estimate the shape deformation of regional cranial bones between the preoperative and postoperative skulls, an age-matched mean-normal skull surface model already divided into five bones is deformed into a preoperative skull, and a deformed mean-normal skull surface model is redeformed into a postoperative skull. To quantify the degree of the expansion and reduction of regional cranial bones after surgery, expansion and reduction indices of the five cranial bones are calculated using the deformable registration as deformation information. The proposed quantification method overcomes the quantification difficulty when using the traditional cephalic index(CI) by analyzing regional cranial bones and provides useful information for quantifying the surgical effects of craniosynostosis patients with symmetric and asymmetric deformities.

Study on Strategy of CT Image Sequence Segmentation for Liver and Tumor Based on U-Net and Bi-ConvLSTM

2021 ◽  
pp. 115008
Author(s):  
Jing Li ◽  
Xue Ou ◽  
Nanyan Shen ◽  
Jie Sun ◽  
Junli Ding ◽  
...  
Keyword(s):  
Image Sequence ◽  
Ct Image ◽  
Sequence Segmentation
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