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Ȩ Ȩ > ¿¬±¸¹®Çå > ±¹³» ³í¹®Áö > Çѱ¹Á¤º¸Ã³¸®ÇÐȸ ³í¹®Áö > Á¤º¸Ã³¸®ÇÐȸ ³í¹®Áö ÄÄÇ»ÅÍ ¹× Åë½Å½Ã½ºÅÛ

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Current Result Document :

ÇѱÛÁ¦¸ñ(Korean Title) CT ¿µ»óÀ籸¼ºÀ» À§ÇÑ ºü¸¥ ¼±ÀûºÐ ¾Ë°í¸®Áò
¿µ¹®Á¦¸ñ(English Title) Fast Calculation Algorithm for Line Integral on CT Reconstruction
ÀúÀÚ(Author) Cho Nwe Zin Latt   Muhammad Firdaus   Mariz Aguilar   ÀÌ°æÇö   õ±Ç¼ö   ±æÁعΠ  Kwon Su Chon   Joon-Min Gil  
¿ø¹®¼ö·Ïó(Citation) VOL 12 NO. 01 PP. 0041 ~ 0046 (2023. 01)
Çѱ۳»¿ë
(Korean Abstract)
CTÀÇ ¹Ýº¹À籸¼º¹ýÀº Åõ¿µ°ú ¿ªÅõ¿µÀ» ¹ø°¥¾Æ °¡¸ç ÃÖÀûÀÇ ´Ü¸é ¿µ»óÀ» ¾òÀ» ¶§±îÁö ¹Ýº¹ ¼öÇàÇϱ⠶§¹®¿¡ °è»ê ½Ã°£ÀÌ ¿À·¡ °É¸®´Â ´ÜÁ¡ÀÌ ÀÖ´Ù. ¿µ»óÀ籸¼º ½Ã°£À» ´ÜÃàÇϱâ À§ÇÏ¿© °è»ê ½Ã°£ÀÌ ¸¹ÀÌ ¼Ò¿äµÇ´Â Åõ¿µÀ» ºü¸£°Ô ¼öÇàÇÒ ¼ö ÀÖ´Â ¾Ë°í¸®ÁòÀÌ ÇÊ¿äÇÏ´Ù. º» ³í¹®Àº Siddon ¾Ë°í¸®ÁòÀ» °³¼±ÇÑ Jacobs ¹öÀüº¸´Ù ´ë·« 10% ºü¸¥ ¾Ë°í¸®ÁòÀ» Á¦¾ÈÇÏ¿´´Ù. Á¦¾ÈÇÑ ¾Ë°í¸®ÁòÀº ±âÁ¸ÀÇ Jacobs ¹öÀüÀÇ ·çÇÁ Ƚ¼ö¸¦ ÁÙÀÓÀ¸·Î½á °è»ê ½Ã°£À» ÁÙÀ̵µ·Ï ÇÏ¿´´Ù. Á¦¾ÈÇÑ ¹æ¹ýÀº °è»ê¼Óµµ»Ó¸¸ ¾Æ´Ï¶ó ¿µ»ó Ç°Áú Ãø¸é¿¡¼­µµ ¿ì¼öÇÑ ¼º´ÉÀ» º¸¿´´Ù. ÆòÇàºöÀÇ °æ¿ì¿¡ ´ëÇØ Á¶»çµÇ¾úÁö¸¸ ÇâÈÄ ºÎä»ìºö ¹× ÄܺöÀÇ °æ¿ì·Î È®ÀåÀÌ °¡´ÉÇÏ´Ù.
¿µ¹®³»¿ë
(English Abstract)
Iterative reconstruction of CT takes a long time because projection and back-projection are alternatively repeated until taking a good image. To reduce the reconstruction time, we need a fast algorithm for calculating the projection which is a time-consuming step. In this paper, we proposed a new algorithm to calculate the line integral and the algorithm is approximately 10% faster than the well-known Siddon method (Jacobs version) and has a good image quality. Although the algorithm has been investigated for the case of parallel beams, it can be extended to the case of fan and cone beam geometries in the future.
Å°¿öµå(Keyword) Ãßõ   Çù¾÷ ÇÊÅ͸µ   ÄÜÅÙÃ÷ ±â¹Ý ÇÊÅ͸µ   ÀΰøÁö´É   ½Å°æ¸Á   Recommendation   Collaborative Filtering   Content-based Filtering   Artificial Intelligence   Neural Network   CT ¿µ»óÀ籸¼º   ¹Ýº¹À籸¼º¹ý   Åõ¿µ   ¼±ÀûºÐ   CT Reconstruction   Iterative Reconstruction   Projection   Line Integral  
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