초록
자화율(susceptibility) 및 강자성체(ferromagnetic body)에 의한 인공물(artifact) 영향을 줄이기 위하여 중심주파수(center frequency) 정렬과 송 신호강도(transmission gain)값의 변화로 영상의 질을 보상하고자 한다. 본원에 내원한 환자 중 총 30명에 대하여 두 경부(head and neck)질환을 의심한 환자 중 남자 15명, 여자 15명으로 평균나이는 45세이었다. 사용된 장비는 GE 1.5T unit (GE, General Electric medical system, High Density)를 사용하여 Transmission gain (TG) 값을 평균 몸무게 60 kg을 기준으로 70, 90, 110, 130, 150까지 변환하여 검사를 하였다(p<0.05). 본 연구의 결과로서, 조영제 주입 전과 후의 지방소거 결과는 TG (70, 90, 110, 130, $150=3.23{\pm}0.35$, $4.31{\pm}0.02$, $4.23{\pm}0.21$, $5.12{\pm}0.25$, $7.13{\pm}0.72$, $8.31{\pm}0.01$, $5.21{\pm}0.15$, $6.14{\pm}0.08$, $5.23{\pm}0.72$, $5.91{\pm}0.06$)값에 다른 점수 분포를 나타났다(p<0.05). 절대값 대조도대 잡음비는 (TG, CNRpre, CNRpost, 70: $-1.44{\pm}0.11$, $-2.7{\pm}0.04$, 90: $-2.18{\pm}0.42$, $-4.41{\pm}0.43$, 110: $-2.89{\pm}0.43$, $-5.23{\pm}0.02$, 130: $-2.34{\pm}0.05$, $-5.26{\pm}0.01$, 150: $-2.09{\pm}0.08$, $-3.87{\pm}0.12$)을 얻었다(p<0.05). 본 실험에서 중심주파수 조정과 송 신호강도(transmission gain)값의 변화에 따라 인공물이 있을 때 영상의 질을 보상할 수 있다는 것을 확인하였다.
The purpose of this study is to compensate for susceptibility and a ferromagnetic body artifact using CFA and TGV on MR Imaging. A total of 30 patients (15 men and 15 women, mean age: 45 years) were performed on head and neck diseases. MR Unit used a 1.5T superconducting magnet (GE medical system, High Density). This study have investigated by changing with CFA and TGV (70, 90, 110, 130, 150) searching for compensation values about susceptibility and a ferromagnetic body artifact in 60 kg standards of body weight (p<0.05). As a quality results, Image qualities were obtained at different score from CFA and TGV (70, 90, 110, 130, $150=3.23{\pm}0.35$, $4.31{\pm}0.02$ $4.23{\pm}0.21$, $5.12{\pm}0.25$, $7.13{\pm}0.72$, $8.31{\pm}0.01$, $5.21{\pm}0.15$, $6.14{\pm}0.08$, $5.23{\pm}0.72$, $5.91{\pm}0.06$, p<0.05). Absolute CNRs (TG, CNRpre, CNRpost) were acquired with (70:$-1.44{\pm}0.11$, $-2.7{\pm}0.04$, 90:$-2.18{\pm}0.42$, $-4.41{\pm}0.43$, 110:$-2.89{\pm}0.43$, $-5.23{\pm}0.02$, 130:$-2.34{\pm}0.05$, $-5.26{\pm}0.01$, 150: $-2.09{\pm}0.08$, $-3.87{\pm}0.12$, p<0.05). In conclusions, this study could be compensated for metal and flow artifacts surrounding the tissues having artifact by changing CFA and TGV.
