Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/623962
Title: In Vivo Electrical Conductivity Contrast Imaging in a Mouse Model of Cancer Using High-Frequency Magnetoacoustic Tomography With Magnetic Induction (hfMAT-MI)
Authors: Kai Yu;Qi Shao;Shai Ashkenazi;John C. Bischof;Bin He
subject: MAT-MI|electrical conductivity imaging|cancer detection|electrical impedance imaging|Bioimpedance|magnetoacoustic tomography with magnetic induction
Year: 2016
Publisher: IEEE
Abstract: Cancerous tissues have electrical-conductivity signatures different from normal tissues, which contain potentially useful information for early detection. Despite recent advancements in electrical-conductivity imaging and its applications, imaging electrical conductivities with high spatial resolution remains a challenge for non-invasive diagnosis of early-stage cancer. Among the various electrical-conductivity imaging methods, magnetoacoustic tomography with magnetic induction (MAT-MI) is a promising technology for non-invasive detection of breast cancer. However, previous efforts to use MAT-MI for cancer imaging have suffered due to insufficient spatial resolution. In this work, we have developed a high-frequency MAT-MI (hfMAT-MI) system with a 2-D spatial resolution of 1 mm, a significant improvement over previous methods. Furthermore, we demonstrated the performance of this method using an in vivo cancer model in nude mice with human breast xenograft hindlimb tumors. hfMAT-MI was able to resolve not only the boundaries between cancerous and healthy tissues, but also the tumors' internal structures. Importantly, we were able to track a growing tumor using our hfMAT-MI method for the first time in an in vivo mouse model, demonstrating the promise of this magneto-acoustic imaging system for effective detection and diagnosis of early-stage breast cancer.
URI: http://localhost/handle/Hannan/160495
http://localhost/handle/Hannan/623962
ISSN: 0278-0062
1558-254X
volume: 35
issue: 10
Appears in Collections:2016

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Title: In Vivo Electrical Conductivity Contrast Imaging in a Mouse Model of Cancer Using High-Frequency Magnetoacoustic Tomography With Magnetic Induction (hfMAT-MI)
Authors: Kai Yu;Qi Shao;Shai Ashkenazi;John C. Bischof;Bin He
subject: MAT-MI|electrical conductivity imaging|cancer detection|electrical impedance imaging|Bioimpedance|magnetoacoustic tomography with magnetic induction
Year: 2016
Publisher: IEEE
Abstract: Cancerous tissues have electrical-conductivity signatures different from normal tissues, which contain potentially useful information for early detection. Despite recent advancements in electrical-conductivity imaging and its applications, imaging electrical conductivities with high spatial resolution remains a challenge for non-invasive diagnosis of early-stage cancer. Among the various electrical-conductivity imaging methods, magnetoacoustic tomography with magnetic induction (MAT-MI) is a promising technology for non-invasive detection of breast cancer. However, previous efforts to use MAT-MI for cancer imaging have suffered due to insufficient spatial resolution. In this work, we have developed a high-frequency MAT-MI (hfMAT-MI) system with a 2-D spatial resolution of 1 mm, a significant improvement over previous methods. Furthermore, we demonstrated the performance of this method using an in vivo cancer model in nude mice with human breast xenograft hindlimb tumors. hfMAT-MI was able to resolve not only the boundaries between cancerous and healthy tissues, but also the tumors' internal structures. Importantly, we were able to track a growing tumor using our hfMAT-MI method for the first time in an in vivo mouse model, demonstrating the promise of this magneto-acoustic imaging system for effective detection and diagnosis of early-stage breast cancer.
URI: http://localhost/handle/Hannan/160495
http://localhost/handle/Hannan/623962
ISSN: 0278-0062
1558-254X
volume: 35
issue: 10
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7462269.pdf1.24 MBAdobe PDFThumbnail
Preview File
Title: In Vivo Electrical Conductivity Contrast Imaging in a Mouse Model of Cancer Using High-Frequency Magnetoacoustic Tomography With Magnetic Induction (hfMAT-MI)
Authors: Kai Yu;Qi Shao;Shai Ashkenazi;John C. Bischof;Bin He
subject: MAT-MI|electrical conductivity imaging|cancer detection|electrical impedance imaging|Bioimpedance|magnetoacoustic tomography with magnetic induction
Year: 2016
Publisher: IEEE
Abstract: Cancerous tissues have electrical-conductivity signatures different from normal tissues, which contain potentially useful information for early detection. Despite recent advancements in electrical-conductivity imaging and its applications, imaging electrical conductivities with high spatial resolution remains a challenge for non-invasive diagnosis of early-stage cancer. Among the various electrical-conductivity imaging methods, magnetoacoustic tomography with magnetic induction (MAT-MI) is a promising technology for non-invasive detection of breast cancer. However, previous efforts to use MAT-MI for cancer imaging have suffered due to insufficient spatial resolution. In this work, we have developed a high-frequency MAT-MI (hfMAT-MI) system with a 2-D spatial resolution of 1 mm, a significant improvement over previous methods. Furthermore, we demonstrated the performance of this method using an in vivo cancer model in nude mice with human breast xenograft hindlimb tumors. hfMAT-MI was able to resolve not only the boundaries between cancerous and healthy tissues, but also the tumors' internal structures. Importantly, we were able to track a growing tumor using our hfMAT-MI method for the first time in an in vivo mouse model, demonstrating the promise of this magneto-acoustic imaging system for effective detection and diagnosis of early-stage breast cancer.
URI: http://localhost/handle/Hannan/160495
http://localhost/handle/Hannan/623962
ISSN: 0278-0062
1558-254X
volume: 35
issue: 10
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7462269.pdf1.24 MBAdobe PDFThumbnail
Preview File