Xu Helen, Lasso Andras, Fedorov Andriy, Tuncali Kemal, Tempany Clare, Fichtinger Gabor
School of Computing, Queen's University, Kingston, Canada,
Int J Comput Assist Radiol Surg. 2015 May;10(5):563-72. doi: 10.1007/s11548-014-1108-7. Epub 2014 Sep 6.
Prostate needle biopsy is a commonly performed procedure since it is the most definitive form of cancer diagnosis. Magnetic resonance imaging (MRI) allows target-specific biopsies to be performed. However, needle placements are often inaccurate due to intra-operative prostate motion and the lack of motion compensation techniques. This paper detects and determines the extent of tissue displacement during an MRI-guided biopsy so that the needle insertion plan can be adjusted accordingly.
A multi-slice-to-volume registration algorithm was developed to align the pre-operative planning image volume with three intra-operative orthogonal image slices of the prostate acquired immediately before needle insertion. The algorithm consists of an initial rigid transformation followed by a deformable step.
A total of 14 image sets from 10 patients were studied. Based on prostate contour alignment, the registrations were accurate to within 2 mm.
This algorithm can be used to increase the needle targeting accuracy by alerting the clinician if the biopsy target has moved significantly prior to needle insertion. The proposed method demonstrated feasibility of intra-operative target localization and motion compensation for MRI-guided prostate biopsy.
前列腺穿刺活检是一种常用的操作,因为它是癌症诊断最具决定性的形式。磁共振成像(MRI)允许进行靶向特异性活检。然而,由于术中前列腺运动以及缺乏运动补偿技术,针的放置往往不准确。本文检测并确定MRI引导活检过程中组织位移的程度,以便相应地调整针插入计划。
开发了一种多切片到体积配准算法,将术前规划图像体积与针插入前立即获取的前列腺的三个术中正交图像切片对齐。该算法包括初始刚性变换,随后是可变形步骤。
共研究了来自10名患者的14组图像。基于前列腺轮廓对齐,配准精度在2毫米以内。
如果活检靶点在针插入前有显著移动,该算法可用于提醒临床医生,从而提高针靶向的准确性。所提出的方法证明了MRI引导前列腺活检术中靶点定位和运动补偿的可行性。