基于核磁-超声融合的前列腺靶向穿刺系统

医学超声关键技术国家地方联合工程实验室, 广东省生物医学信息检测与超声成像重点实验室, 深圳大学医学部,广东深圳518060

生物医学电子学; 手术导航; 前列腺活检; 磁共振成像与经直肠超声融合; 探头校准; 前列腺靶向穿刺

MRI-TRUS multi-modality image fusion for targeted prostate biopsy
Ni Dong and Wu Hailang

National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, Division of Medicine, Shenzhen University, Shenzhen 518060, Guangdong Province, P.R.China

biomedical electronics; surgical navigation; prostate biopsy; magnetic resonance imaging-transrectal ultrasound image fusion; probe calibration; prostate targeted puncture

DOI: 10.3724/SP.J.1249.2016.02111

备注

利用高精度电磁定位器实时跟踪超声探头和穿刺针来引导前列腺穿刺.采用手动刚体配准方法实现三维(three dimensional, 3D)经直肠超声图像(transrectal ultrasound, TRUS)与核磁图像(magnetic resonance imaging, MRI)配准; 通过二维(two dimensional, 2D)和3D探头校准,将手术前3D超声图像和手术中2D超声图像配准; 结合穿刺针标定结果,实现实时二维超声和术前MRI图像融合引导下的前列腺靶向穿刺.在对前列腺体模的12次穿刺测试中,系统穿刺点全部在大小约为0.5 cm3的穿刺目标内,且实际穿刺位置与目标穿刺位置之间的程序定位误差为(2.89±0.81)mm.实验结果表明,该系统具有较高的穿刺精度,同时降低了操作的复杂度.

The proposed system presents an approach to guide prostate biopsy by tracking the probe and needle under the high precision electromagnetic locator. Initially, manual rigid registration is explored for the three dimensional(3D)transrectal ultrasound(TRUS)and magnetic resonance imaging(MRI)images. Secondly, pre-interventional 3D ultrasound image is registered with real-time ultrasound image automatically through two dimensional(2D)and 3D probe calibration. Furthermore, the prostate targeting biopsy guidance is implemented by combining the result of needle calibration and the fused output of real-time ultrasound images and MRI images. The experiments were implemented on two commercial prostate phantoms to validate the performance of our system. All 12 biopsies can hit the randomly placed 0.5 cm3 lesion within the phantom. The procedural targeting error between planned and documented biopsy is(2.89±0.81)mm. The results have demonstrated that both the precision and operating complexity of our system are significantly improved in comparison with traditional methods.

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