JIN, SEUNG OH,진승오,OH, SANG KI,오상기,HUH, YOUNG,허영,KIM, HO CHUL,김호철,SHIN, KI YOUNG,신기영
申请号：
KR1020110109117
公开号：
KR1012455360000B1
申请日:
2011.10.25
申请国别(地区):
KR
年份:
2013
代理人:
摘要：
PURPOSE: A streak artifact suppressing method in a low density photography phase CT image reconfiguration is provided to obtain a clear CT image, by photographing and calculating a projection image of an object from various angles by using X-ray. CONSTITUTION: A sonogram is obtained from a CT image(S110). A high-strength area of reconfigured image is calculated by using a back projection FBP(Filtered Back Projection)(S130). A sinogram data of the high-strength area is calculated by the calculation(S140). A compound image is generated based on a compression sensing CS(Compressed Sensing)(S180). A final image is generated as the compound image is used as an initial guess of the CT image(S190). [Reference numerals] (S110) Obtaining a sinogram g^Acq； (S120) Reconfiguring an image using FBP(f^FBP) from the sinogram g^Acq； (S130) Calculating a high-strength area f^Bone from the f^FBP； (S140) Calculating sinogram data g^Bone by projecting the high-strength area f^Bone； (S150) Excluding component caused by the high-strength area by deducting the sinogram data g^Bone from the sinogram g^Acq； (S160) Obtaining the deducted sinogram g^Soft； (S170) Reconfiguring soft tissue image f^Soft through compressed sensing CS, f^Soft=CS_TV(g^Soft, &lambda；:0.005, &lambda；_s:=0.99,k:=40. flnit:=0； (S180) Generating a compound image f^Sum by adding the high-strength area f^Bone and the soft tissue image, f^Soft, f^Sum=f^Bone-f^Soft； (S190) Generating a final image f^Final through compressed sensing CS of the sinogram g^Acq using the compound image f^Sum as an initial estimation value of a CT image본 발명은 저밀도 촬영상 CT 영상 재구성에서 줄 인공물 억제 방법으로서, 저밀도-저촬영상 CT 영상의 재구성에의 줄 인공물(streak artifact)을 억제시키기 위한 방법에 있어서, 저밀도-저촬영상 CT 영상으로부터 획득된 사이노그램(sinogram)으로부터 여과후 역투영 FBP(Filtered BackProjection)를 이용하여 재구성한 이미지의 고강도 영역을 산출하여 고강도 영역만을 고려한 사이노그램 데이터를 산출하는 고강도 영역의 사이노그램 데이터 산출 단계； 압축 센싱 CS(Compressed Sensing)를 기반으로 상기 획득된 사이노그램으로부터 상기 고강도 영역만을 고려한 사이노그램 데이터를 차감하여 고강도 영역에 기인한 성분을 제거한 차감된 사이노그램을 산출하고, 상기 차감된 사이노그
