Á¤º¸°úÇÐȸ³í¹®Áö (Journal of KIISE)
ÇѱÛÁ¦¸ñ(Korean Title) |
Ä¡·á°èȹ¿ë 4D MDCT¿Í Ä¡·á ½Ã ȹµæÇÑ 4D CBCT°£ ¿µ»óÁ¤ÇÕ ¹× Á¾¾ç ¸ÅĪÀ» ÀÌ¿ëÇÑ ¹æ»ç¼± Ä¡·á ½Ã Á¾¾ç ¿òÁ÷ÀÓ ÃßÀû |
¿µ¹®Á¦¸ñ(English Title) |
Tumor Motion Tracking during Radiation Treatment using Image Registration and Tumor Matching between Planning 4D MDCT and Treatment 4D CBCT |
ÀúÀÚ(Author) |
Á¤ÁÖ¸³
È«Çï·»
Julip Jung
Helen Hong
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¿ø¹®¼ö·Ïó(Citation) |
VOL 43 NO. 03 PP. 0353 ~ 0361 (2016. 03) |
Çѱ۳»¿ë (Korean Abstract) |
Æó¾Ï ȯÀÚÀÇ ¿µ»óÀ¯µµ ¹æ»ç¼± Ä¡·áÀÇ °æ¿ì ȯÀÚÀÇ È£Èí ¹× ½ÉÀå¹Úµ¿¿¡ µû¶ó Á¾¾çÀÇ ¿òÁ÷ÀÓÀÌ º¯ÈÇÒ ¼ö ÀÖÀ¸¹Ç·Î Ä¡·á ½Ã Á¾¾çÀÇ ¿òÁ÷ÀÓÀ» ÃßÀûÇÏ´Â °ÍÀÌ ÇÊ¿äÇÏ´Ù. º» ³í¹®¿¡¼´Â Ä¡·á°èȹ¿ë 4D MDCT ¿µ»ó°ú Ä¡·á ½Ã ȹµæÇÑ 4D CBCT ¿µ»óÀÇ 3Â÷¿ø ¿µ»ó Á¤º¸¸¦ ±â¹ÝÀ¸·Î Á¾¾ç ¿òÁ÷ÀÓÀ» ÃßÀûÇÏ´Â ¹æ¹ýÀ» Á¦¾ÈÇÑ´Ù. ù°, È¿À²ÀûÀ¸·Î Ä¡·á ½Ã Á¾¾çÀÇ ¿òÁ÷ÀÓÀ» ÃßÀûÇϱâ À§ÇØ Ä¡·á°èȹ¿ë 4D MDCT ¿µ»ó¿¡¼ ȹµæÇÑ Á¾¾ç ¿òÁ÷ÀÓ ¸ðµ¨À» ÅëÇØ Á¾¾çÀÇ Àü¿ªÀû ¿òÁ÷ÀÓÀ» ¿¹ÃøÇÑ´Ù. µÑ°, Á¾¾ç ¿òÁ÷ÀÓ ÃßÀûÀÇ Á¤È®¼ºÀ» ³ôÀ̱â À§ÇØ 4D CBCT ¿µ»ó¿¡¼ Á¾¾ç ÁÖº¯ÀÇ ±¸Á¶Àû Á¤º¸¸¦ ÀÌ¿ëÇØ ¼¼ºÎÀû ¿òÁ÷ÀÓÀ» º¸Á¤ÇÏ¿© Á¾¾çÀÇ Áö¿ªÀû ¿òÁ÷ÀÓÀ» ¿¹ÃøÇÑ´Ù. Á¦¾È¹æ¹ýÀÇ ¼º´É Æò°¡¸¦ À§ÇØ µðÁöÅÐ ÆÒÅÒÀ» ÀÌ¿ëÇØ ½ÇÇèÇÑ °á°ú, Áö¿ªÀû ¿òÁ÷ÀÓÀ» °í·ÁÇßÀ» ¶§ Àü¿ªÀû ¿òÁ÷ÀÓ¸¸ º¸Á¤ÇÑ °æ¿ìº¸´Ù Á¾¾ç À§Ä¡È ¿À·ù°¡ 45% °¨¼ÒÇÏ¿´´Ù.
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¿µ¹®³»¿ë (English Abstract) |
During image-guided radiation treatment of lung cancer patients, it is necessary to track the tumor motion because it can change during treatment as a consequence of respiratory motion and cardiac motion. In this paper, we propose a method for tracking the motion of the lung tumors based on the three-dimensional image information from planning 4D MDCT and treatment 4D CBCT images. First, to effectively track the tumor motion during treatment, the global motion of the tumor is estimated based on a tumor-specific motion model obtained from planning 4D MDCT images. Second, to increase the accuracy of the tumor motion tracking, the local motion of the tumor is estimated based on the structural information of the tumor from 4D CBCT images. To evaluate the performance of the proposed method, we estimated the tracking results of proposed method using digital phantom. The results show that the tumor localization error of local motion estimation is reduced by 45% as compared with that of global motion estimation.
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Å°¿öµå(Keyword) |
¹æ»ç¼± Ä¡·á
Æó Á¾¾ç
4D CBCT
¿òÁ÷ÀÓ ÃßÀû
¿µ»ó Á¤ÇÕ
radiation treatment
lung tumor
4D CBCT
motion tracking
image registration
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