Detection algotithm of abdominal lymph nodes based on multi-modality image

摘要：

The quantitative assessment of abdominal lymph nodes in the context of primary tumor requires an automatic detection technique in multi-modality datasets.The region of interest was set with multi-modality datasets.We performed 3-D template matching to do rough extraction with a spherical teacher image.The quantity of shape characteristic of detected object was estimated precisely.Our method was evaluated with lymph nodes from clinical multi-modality datasets and could be proved to be comparable to the manual detection results of experienced users.This detection technique is helpful when a doctor examines a lymphadenectomy range by the operation.

关键词： Abdominal lymph nodes Template matching Multi-modality image PET,Diffusion-MRI Fusion image

作者: Fumiaki MASAKIYO Mitsuru KUBO Yoshiki KAWATA Noboru NIKI Masanori NISHIKAWA Hidenori MIYAMOTO Kozo Yoshikawa Mitsuo SHIMADA Hiromu NISHITANI

作者单位: Faculty of Engineering,Tokushima University 2-1 Ninamijhosanjima,Tokushimashi,Tokushima,770-8506 Jap Faculty of Engineering,Tokushima University 2-1 Ninamijhosanjima,Tokushimashi,Tokushima,770-8506 Jap Medical School,Tokushima University 3-8-15 Kuramotocho,Tokushimashi,Tokushima,770-8501 Japan

会议类型: 国际会议

会议名称: 2008国际生物生理工程研讨会(The International Symposium on Biological and Physiological Engineering/The 22nd SICE Symposium on Biological and Physiological Engineering)

会议地点: 哈尔滨

会议语种:英文

页码: 56-57

在线出版日期: 2008-01-13（万方平台首次上网日期，不代表论文的发表时间）