[1]倪东,吴海浪.基于核磁-超声融合的前列腺靶向穿刺系统[J].深圳大学学报理工版,2016,33(2):111-118.[doi:10.3724/SP.J.1249.2016.02111]
 Ni Dongand Wu Hailang.MRI-TRUS multi-modality image fusion for targeted prostate biopsy[J].Journal of Shenzhen University Science and Engineering,2016,33(2):111-118.[doi:10.3724/SP.J.1249.2016.02111]
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基于核磁-超声融合的前列腺靶向穿刺系统()
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《深圳大学学报理工版》[ISSN:1000-2618/CN:44-1401/N]

卷:
第33卷
期数:
2016年第2期
页码:
111-118
栏目:
电子与信息科学
出版日期:
2016-03-20

文章信息/Info

Title:
MRI-TRUS multi-modality image fusion for targeted prostate biopsy
文章编号:
201602001
作者:
倪东吴海浪
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
Author(s):
Ni Dongand 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
关键词:
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
Keywords:
biomedical electronics surgical navigation prostate biopsy magnetic resonance imaging-transrectal ultrasound image fusion probe calibration prostate targeted puncture
分类号:
R 318;TP 391.7
DOI:
10.3724/SP.J.1249.2016.02111
文献标志码:
A
摘要:
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.
Abstract:
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.

参考文献/References:

[1] Siegel R, Naishadham D, Jemal A. Cancer statistics[J]. CA: a Cancer Journal for Clinicians, 2012, 62(1): 10-29.
[2] Natarajan S, Marks L S, Margolis D J, et al. Clinical application of a 3d ultrasound-guided prostate biopsy system[J]. Urologic Oncology: Seminars and Original Investigations, 2011, 29(3): 334-342.
[3] Wang Ting, Wu Junming, Huang Qinghua. Enhanced extended-field-of-view ultrasound for musculoskeletal tissues using parallel computing[J]. Current Medical Imaging Reviews, 2014, 10(4): 237-245.
[4] Zheng Shuohe, Huang Qinghua, Jin Lianwen, et al. Real-time extended-field-of-view ultrasound based on a standard PC[J]. Applied Acoustics, 2012, 73(4): 423-432.
[5] Guichard G, Larré S, Gallina A, et al. Extended 21-sample needle biopsy protocol for diagnosis of prostate cancer in 1 000 consecutive patients[J]. European Urology, 2007, 52: 430-435.
[6] Kurhanewicz J, Vigneron D, Carroll P, et al. Multiparametric magnetic resonance imaging in prostate cancer present and future[J]. Current Opinion in Urology, 2008, 18(1): 71-77.
[7] Ahmed H U, Kirkham A, Arya M, et al. Is it time to consider a role for MRI before prostate biopsy?[J]. Nature Reviews Clinical Oncology, 2009, 6(4): 197-206.
[8] Hu Y, Ahmed H U, Taylor Z, et al. MR to ultrasound registration for image-guided prostate interventions[J]. Medical Image Analysis, 2012. 16(3): 687-703.
[9] Narayanan R, Kurhanewicz J, Shinohara K, et al. MRI-ultrasound registration for targeted prostate biopsy[C]// Proceedings of the IEEE International Symposium on Biomedical Imaging: from Nano to Macro. Boston, USA: IEEE, 2009: 991-994.
[10] Wang Yi, Cheng Jiezhi, Ni Dong, et al. Towards personalized statistical deformable model and hybrid point matching for robust MR-TRUS registration[J]. IEEE Transactions on Medical Imaging, 2015, 35(2): 589-604.
[11] Xu S, Kruecker J, Turkbey B, et al. Real-time MRI-TRUS fusion for guidance of targeted prostate biopsies[J]. Computer Aided Surgery, 2008, 13(5):255-264.
[12] Fenster A, Dónal B, Neale H. Three-dimensional ultrasound imaging[J]. Physics in Medicine and Biology, 2001, 46: 67-99.
[13] 倪 东,陈思平,汪天富.基于曲光线跟踪算法的超声成像实时模拟研究[J].深圳大学学报理工版,2012,29(4):322-327.
Ni Dong, Chen Siping, Wang Tianfu. A beam width aware curvilinear ray tracing method for real-time ultrasound simulation[J]. Journal of Shenzhen University Science and Engineering, 2012, 29(4): 322-327.(in Chinese)
[14] Kaplan I, Oldenburg N E, Meskell P, et al. Real time MRI-ultrasound image guided stereotactic prostate biopsy[J]. Magnetic Resonance Imaging, 2002, 20(3): 295-299.
[15] Singh A K, Kruecker J, Xu S, et al. Initial clinical experience with real-time transrectal ultrasonography- magnetic resonance imaging fusion-guided prostate biopsy[J]. British Journal of Urology International, 2008, 101(7): 841-845.
[16] Besl P J, McKay N D. A method for registration of 3-D shapes[J]. IEEE transactions on Pattern Analysis and Machine Intelligence, 1992, 14(2): 239-256.
[17] Zhang Zhengyou. Iterative point matching for registration of free-form curves and surfaces[J]. International Journal of Computer Vision, 1994, 13(2):119-152.
[18] 贾富仓,李修往,陈思平.CT图像引导脊柱外科配准方法研究[J].深圳大学学报理工版,2007,24(4):406-409.
Jia Fucang, Li Xiuwang, Chen Siping. Registration for CT image guided spine surgery[J]. Journal of Shenzhen University Science and Engineering, 2007, 24(4): 406-409.(in Chinese)
[19] Mercier L, Lang T, Linkseth F, et al. A review of calibration techniques for freehand 3-D ultrasound systems[J]. Ultrasound in Medicine and Biology, 2005, 31(4): 449-471.
[20] Andras L, Tamas H,Adam R, et al. PLUS: open-source toolkit for ultrasound-guided intervention systems[J]. IEEE Transactions on Biomedical Engineering, 2014, 61(10): 2527-37.
[21] Ukimura O, Hirahara N, Fujihara A, et al. Technique for a hybrid system of real-time transrectal ultrasound with preoperative magnetic resonance imaging in the guidance of targeted prostate biopsy[J]. International Journal of Urology, 2010, 17(10):890-893.

备注/Memo

备注/Memo:
Received:2016-01-14;Accepted:2016-02-17
Foundation:National Natural Science Foundation of China (6157010571); Shenzhen-Hongkong Innovation Circle Fund (JSE201109150013A)
Corresponding author:Professor Ni Dong. E-mail: nidong@szu.edu.cn
Citation:Wu Hailang,Ni Dong.MRI-TRUS multi-modality image fusion for targeted prostate biopsy[J]. Journal of Shenzhen University Science and Engineering, 2016, 33(2): 111-118.(in Chinese)
基金项目:国家自然科学基金资助项目(6157010571);深港创新圈基金资助项目(JSE201109150013A)
作者简介:倪东(1977—),男,深圳大学教授.研究方向:医学图像分析与处理.E-mail: nidong@szu.edu.cn
引文:倪东,吴海浪. 基于核磁-超声融合的前列腺靶向穿刺系统[J]. 深圳大学学报理工版,2016,33(2):111-118.
更新日期/Last Update: 2016-03-04