PURPOSE: The risk of undesired tissue damage to thoracic cage, heart, and lung during MR guided HIFU ablations of breast cancer can be greatly reduced if a phased array transducer design with a lateral beam direction is used in combination with a large aperture. The disadvantage is an increased sensitivity to focus aberrations due to tissue heterogeneity. Here, the authors propose to restore the focal coherence by using a matched aperture phase correction, which is based on a noninvasively obtained tissue model. METHODS: The method combines high resolution MRI with ultrasound wave measurements of different tissue types to determine a phase correction, which compensates focal point aberrations caused by tissue heterogeneity. 3D segmentation of tissue is used to quantify the relative proportion of each tissue type along a line running from the center of each element of the phased array to the target focal point. RESULTS: For tissue types with a celerity difference of 3%, the proposed method allows to quantify the phase aberration with an accuracy of 6° ± 20° and a correlation factor R(2) = 0.95. Using the refocusing method for a complex heterogeneous phantom resulted in 95% of the maximal pressure, whereas only 70% of the maximal pressure is obtained in absence of any phase correction. CONCLUSIONS: Since the proposed refocusing algorithm is compatible with a standard interventional preplanning and requires only a minimal amount of processing, it presents a promising approach to compensate for aberration in heterogeneous tissues such as the human breast.
PURPOSE: The risk of undesired tissue damage to thoracic cage, heart, and lung during MR guided HIFU ablations of breast cancer can be greatly reduced if a phased array transducer design with a lateral beam direction is used in combination with a large aperture. The disadvantage is an increased sensitivity to focus aberrations due to tissue heterogeneity. Here, the authors propose to restore the focal coherence by using a matched aperture phase correction, which is based on a noninvasively obtained tissue model. METHODS: The method combines high resolution MRI with ultrasound wave measurements of different tissue types to determine a phase correction, which compensates focal point aberrations caused by tissue heterogeneity. 3D segmentation of tissue is used to quantify the relative proportion of each tissue type along a line running from the center of each element of the phased array to the target focal point. RESULTS: For tissue types with a celerity difference of 3%, the proposed method allows to quantify the phase aberration with an accuracy of 6° ± 20° and a correlation factor R(2) = 0.95. Using the refocusing method for a complex heterogeneous phantom resulted in 95% of the maximal pressure, whereas only 70% of the maximal pressure is obtained in absence of any phase correction. CONCLUSIONS: Since the proposed refocusing algorithm is compatible with a standard interventional preplanning and requires only a minimal amount of processing, it presents a promising approach to compensate for aberration in heterogeneous tissues such as the human breast.
Authors: Allison Payne; Josh de Bever; Alexis Farrer; Brittany Coats; Dennis L Parker; Douglas A Christensen Journal: Med Phys Date: 2015-02 Impact factor: 4.071
Authors: Kevin Looby; Carl D Herickhoff; Christopher Sandino; Tao Zhang; Shreyas Vasanawala; Jeremy J Dahl Journal: J Med Imaging (Bellingham) Date: 2019-07-22
Authors: Bryant T Svedin; Michael J Beck; J Rock Hadley; Robb Merrill; Joshua T de Bever; Bradley D Bolster; Allison Payne; Dennis L Parker Journal: Magn Reson Med Date: 2016-07-15 Impact factor: 4.668
Authors: G Malietzis; L Monzon; J Hand; H Wasan; E Leen; M Abel; A Muhammad; P Price; P Abel Journal: Br J Radiol Date: 2013-02-12 Impact factor: 3.039
Authors: Alexis I Farrer; Scott Almquist; Christopher R Dillon; Leigh A Neumayer; Dennis L Parker; Douglas A Christensen; Allison Payne Journal: Med Phys Date: 2016-03 Impact factor: 4.071
Authors: Allison Payne; Robb Merrill; Emilee Minalga; J Rock Hadley; Henrik Odeen; Lorne W Hofstetter; Sara Johnson; Christine Tunon de Lara; Sophie Auriol; Stephanie Recco; Erik Dumont; Dennis L Parker; Jean Palussiere Journal: IEEE Trans Biomed Eng Date: 2021-02-19 Impact factor: 4.538