A Multilayered Partitioning Image Registration Method for Chest-Radiograph Temporal Subtraction
Lung cancer has been the most common cancer in the world. Early detection is the most important for reducing the death due to lung cancer. Chest radiography has been widely and frequently used for detection and diagnosis on lung cancer. To assess pathological changes in chest radiographs,radiologists often compare the previous chest radiograph and the current one obtained from the same patient at different times. A temporal subtraction image,which is constructed subtracting the previous radiograph from the current one,is often used to support this comparison work. This paper presents a multilayered partitioning image registration method for chest-radiograph temporal subtraction. First,we used global matching based on the mutual information of ribs. Then,we divide the images after global matching into four groups of temple subareas used multilayered partitioning method. For individual local subarea in each group,we use a genetic algorithm to efficiently find its corresponding area in the previous image. By the result of genetic algorithm,we construct the new matching image according to the four groups of temple subareas,and subtract the matching image to construct the temporal subtraction image.
Temporal subtractions multilayered partitioning radiographs image registration
Qian Yu Lifeng He Tsuyosi Nakamura Kenji Suzuki Yuyan Chao
Dept. of Information Science Nagoya Institute of Technology,Nagoya,Japan Graduate School of Information Science and Technology Aichi Prefectural University,Nagakute-cho,Japa
国际会议
西安
英文
2424-2427
2011-12-23（万方平台首次上网日期，不代表论文的发表时间）