Samavati Navid, McGrath Deirdre M, Lee Jenny, van Kwast Theodorus, Jewett Michael, Ménard Cynthia, Brock Kristy K
Institute of Biomaterials and Biomedical Engineering, University of Toronto, Toronto, Canada.
J Pathol Inform. 2011;2:S10. doi: 10.4103/2153-3539.92035. Epub 2012 Jan 19.
A biomechanical model-based deformable image registration incorporating specimen-specific changes in material properties is optimized and evaluated for correlating histology of clinical prostatectomy specimens with in vivo MRI. In this methodology, a three-step registration based on biomechanics calculates the transformations between histology and fixed, fixed and fresh, and fresh and in vivo states. A heterogeneous linear elastic material model is constructed based on magnetic resonance elastography (MRE) results. The ex vivo tissue MRE data provide specimen-specific information for the fresh and fixed tissue to account for the changes due to fixation. The accuracy of the algorithm was quantified by calculating the target registration error (TRE) by identifying naturally occurring anatomical points within the prostate in each image. TRE were improved with the deformable registration algorithm compared to rigid registration alone. The qualitative assessment also showed a good alignment between histology and MRI after the proposed deformable registration.
一种基于生物力学模型的可变形图像配准方法,该方法纳入了特定标本的材料属性变化,并针对临床前列腺切除标本的组织学与体内MRI的相关性进行了优化和评估。在这种方法中,基于生物力学的三步配准计算了组织学与固定状态、固定状态与新鲜状态以及新鲜状态与体内状态之间的变换。基于磁共振弹性成像(MRE)结果构建了非均匀线性弹性材料模型。离体组织MRE数据为新鲜组织和固定组织提供了特定标本的信息,以考虑固定引起的变化。通过识别每个图像中前列腺内自然存在的解剖点来计算目标配准误差(TRE),从而对算法的准确性进行量化。与单独的刚性配准相比,可变形配准算法提高了TRE。定性评估还表明,在提出的可变形配准之后,组织学与MRI之间具有良好的对齐。