A review of biomechanically informed breast image registration

被引:49
作者
Hipwell, John H. [1 ]
Vavourakis, Vasileios [1 ]
Han, Lianghao [2 ]
Mertzanidou, Thomy [1 ]
Eiben, Bjoern [1 ]
Hawkes, David J. [1 ]
机构
[1] UCL, Ctr Med Image Comp, Malet Pl Engn Bldg,Gower St, London WC1E 6BT, England
[2] Tongji Univ, Shanghai East Hosp, Shanghai 200092, Peoples R China
基金
英国工程与自然科学研究理事会;
关键词
breast cancer imaging; image registration; mathematical modelling; biomechanics; breast compression; multi-modality; FINITE-ELEMENT MODEL; X-RAY MAMMOGRAMS; PREDICTING MECHANICAL DEFORMATIONS; MR ELASTOGRAPHY; DIGITAL MAMMOGRAPHY; MOTION CORRECTION; ELASTIC-MODULUS; TISSUE; SIMULATION; CANCER;
D O I
10.1088/0031-9155/61/2/R1
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Breast radiology encompasses the full range of imaging modalities from routine imaging via x-ray mammography, magnetic resonance imaging and ultrasound (both two- and three-dimensional), to more recent technologies such as digital breast tomosynthesis, and dedicated breast imaging systems for positron emission mammography and ultrasound tomography. In addition new and experimental modalities, such as Photoacoustics, Near Infrared Spectroscopy and Electrical Impedance Tomography etc, are emerging. The breast is a highly deformable structure however, and this greatly complicates visual comparison of imaging modalities for the purposes of breast screening, cancer diagnosis (including image guided biopsy), tumour staging, treatment monitoring, surgical planning and simulation of the effects of surgery and wound healing etc. Due primarily to the challenges posed by these gross, non-rigid deformations, development of automated methods which enable registration, and hence fusion, of information within and across breast imaging modalities, and between the images and the physical space of the breast during interventions, remains an active research field which has yet to translate suitable methods into clinical practice. This review describes current research in the field of breast biomechanical modelling and identifies relevant publications where the resulting models have been incorporated into breast image registration and simulation algorithms. Despite these developments there remain a number of issues that limit clinical application of biomechanical modelling. These include the accuracy of constitutive modelling, implementation of representative boundary conditions, failure to meet clinically acceptable levels of computational cost, challenges associated with automating patient-specific model generation (i.e. robust image segmentation and mesh generation) and the complexity of applying biomechanical modelling methods in routine clinical practice.
引用
收藏
页码:R1 / R31
页数:31
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