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Ȩ Ȩ > ¿¬±¸¹®Çå > ±¹³» ³í¹®Áö > Çѱ¹Á¤º¸Ã³¸®ÇÐȸ ³í¹®Áö > Á¤º¸Ã³¸®ÇÐȸ ³í¹®Áö ¼ÒÇÁÆ®¿þ¾î ¹× µ¥ÀÌÅÍ °øÇÐ

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Current Result Document : 7 / 10 ÀÌÀü°Ç ÀÌÀü°Ç   ´ÙÀ½°Ç ´ÙÀ½°Ç

ÇѱÛÁ¦¸ñ(Korean Title) Á¶¿µÁõ°­ ÀÇ·á ÃÊÀ½ÆÄ Áø´Ü¿¡¼­ ÆĶó¹ÌÅÍ ¿µ»óÀÇ °³¼± ±â¹ý
¿µ¹®Á¦¸ñ(English Title) A Parametric Image Enhancement Technique for Contrast-Enhanced Ultrasonography
ÀúÀÚ(Author) ±èÈ£ÁØ   °û¼ºÈÆ   Ho Joon Kim   Seong Hoon Gwak  
¿ø¹®¼ö·Ïó(Citation) VOL 03 NO. 06 PP. 0231 ~ 0236 (2014. 06)
Çѱ۳»¿ë
(Korean Abstract)
ÀÇ·á ÃÊÀ½ÆÄ ¿µ»ó¿¡¼­ Á¶¿µÁ¦ÀÇ ÀüÀ̽ð£°ú Á¶¿µÈ¿°ú º¯È­ °î¼± Ư¼º¿¡ ´ëÇÑ ÆĶó¹ÌÅÍ´Â °¢Á¾ ¼ÒÈ­±â ÁúȯÀ» Áø´ÜÇÏ´Â Áß¿äÇÑ ÀÎÀÚ°¡µÈ´Ù. ÀÌ·¯ÇÑ Áø´ÜÀÎÀڵ鿡 ´ëÇÑ À°¾ÈÆǺ°ÀÇ ¾î·Á¿òÀ» ±Øº¹Çϱâ À§ÇÏ¿© ÆĶó¹ÌÅÍ ¿µ»óÀÇ ÀÚµ¿ »ý¼º ±â¹ýÀ» ±¸ÇöÇÒ ¼ö Àִµ¥ ÀÌ °úÁ¤¿¡¼­ ¸¶ÀÌÅ©·Î ¹öºíÇüÅÂÀÇ ³ëÀÌÁî¿Í È£Èí¿¡ ÀÇÇÑ Èçµé¸² Çö»óÀº ÃßÃâµÈ ¿µ»óÀÇ ½Å·Úµµ¸¦ ÀúÇÏ ½ÃŲ´Ù. ÀÌ¿¡ º» ¿¬±¸¿¡¼­´Â MRF(Markov Random Field) ¸ðµ¨À» ±â¹ÝÀ¸·Î ÇÏ´Â ÃÖÀûÈ­ ±â¹ýÀ» Àû¿ëÇÏ¿© ÆĶó¹ÌÅÍ ¿µ»óÀ» °³¼±ÇÏ´Â ¹æ¹ýÀ» °íÂûÇϸç, È£Èí¿¡ ÀÇÇÑ ¿µ»óÀÇ Èçµé¸²À» º¸Á¤Çϱâ À§ÇÑ ¿µ»óÃßÀû ±â¹ýÀ» Á¦½ÃÇÑ´Ù. ¼¼ºÎÀûÀ¸·Î ÃÊÀ½ÆÄ µ¿¿µ»ó ¿ø½Ã µ¥ÀÌÅͷκÎÅÍ È£ÈíÁÖ±â ÃßÃâ ±â¹ýÀ» ±¸ÇöÇÏ¿´À¸¸ç, ÃßÃâµÈ Áֱ⸦ ±â¹ÝÀ¸·Î ¸ð¸àÅÒ ¿ä¼Ò¿Í µ¿Àû °¡ÁßÄ¡¸¦ ¹Ý¿µÇÏ´Â ROI(Region of Interest) ÃßÀû ¾Ë°í¸®ÁòÀ» Àû¿ëÇÏ¿´´Ù. ¶ÇÇÑ ¿µ»ó °³¼± ±â¹ý¿¡ Àû¿ëµÇ
´Â Gibbs »ùÇ÷¯ÀÇ ¿¡³ÊÁö ÇÔ¼ö¸¦ Á¤ÀÇÇÏ°í ½ÇÁ¦ °£Áúȯ Áø´Ü µ¥ÀÌÅ͸¦ ´ë»óÀ¸·Î ¿µ»ó °³¼± È¿°ú¸¦ ½ÇÇèÀûÀ¸·Î Æò°¡ÇÏ¿´´Ù.
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(English Abstract)
The transit time of contrast agents and the parameters of time-intensity curves in ultrasonography are important factors to diagnose various diseases of a digestive organ. We have implemented an automatic parametric imaging method to overcome the difficulty of the diagnosis by naked eyes. However, the micro-bubble noise and the respiratory motions may degrade the reliability of the parameter images. In this paper, we introduce an optimization technique based on MRF(Markov Random Field) model to enhance the quality of the parameter images, and present an image tracking algorithm to compensate the image distortion by respiratory motions. A method to extract the respiration periods from the ultrasound image sequence has been developed. We have implemented
the ROI(Region of Interest) tracking algorithm using the dynamic weights and a momentum factor based on these periods. An energy function is defined for the Gibbs sampler of the image enhancement method. Through the experiments using the data to diagnose liver lesions, we have shown that the proposed method improves the quality of the parametric images.
Å°¿öµå(Keyword) Image Enhancement   Motion Tracking   Parametric Imaging   Ultrasonography  
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