In today's world, technology is advancing at an exponential rate and medical imaging is no exception. During the last hundred years, the field of medical imaging has seen a tremendous technological growth with the invention of imaging modalities including but not limited to X-ray, ultrasound, computed tomography, magnetic resonance imaging, positron emission tomography, and single-photon emission computed tomography. These tools have led to better diagnosis and improved patient care. However, each of these modalities has its advantages as well as disadvantages and none of them can reveal all the information a physician would like to have. In the last decade, a new diagnostic technology called photoacoustic imaging has evolved which is moving rapidly from the research phase to the clinical trial phase. This article outlines the basics of photoacoustic imaging and describes our hands-on experience in developing a comprehensive photoacoustic imaging system to detect tissue abnormalities.
Keywords: Acoustic Lens Based Imaging, C-scan Imaging, Cancer Detection, Photoacoustic Imaging
Cited in 10 Documents
Kalloor Joseph Francis, Bhargava Chinni, Sumohana S. Channappayya, Rajalakshmi Pachamuthu, Vikram S. Dogra and Navalgund Rao (2019) Multiview spatial compounding using lens-based photoacoustic imaging system. Photoacoustics13:85. doi: 10.1016/j.pacs.2019.01.002
S. Sinha, N. Rao, B. Chinni, J. Moalem, E. J. Giampolli and V. Dogra (2013) Differentiation between malignant and normal human thyroid tissue using frequency analysis of multispectral Photoacoustic images. . Conference Presentation in 2013 IEEE Western New York Image Processing Workshop (WNYIPW) 5. doi: 10.1109/WNYIPW.2013.6890979
Kalloor Joseph Francis, Bhargava Chinni, Sumohana S. Channappayya, Rajalakshmi Pachamuthu, Vikram S. Dogra and Navalgund Rao (2017) Characterization of lens based photoacoustic imaging system. Photoacoustics8:37. doi: 10.1016/j.pacs.2017.09.003
Vikram S. Dogra, Bhargava K. Chinni, Keerthi S. Valluru, Jacob Moalem, Ellen J. Giampoli, Katie Evans and Navalgund A. Rao (2014) Preliminary Results of Ex Vivo Multispectral Photoacoustic Imaging in the Management of Thyroid Cancer. American Journal of Roentgenology202(6):W552. doi: 10.2214/AJR.13.11433
Kamal Jnawali, Bhargava Chinni, Vikram Dogra, Navalgund Rao, Horst K. Hahn and Kensaku Mori (2019) Transfer learning for automatic cancer tissue detection using multispectral photoacoustic imaging. . Conference Presentation in Medical Imaging 2019: Computer-Aided Diagnosis 140. doi: 10.1117/12.2506950
Vikram Dogra, Bhargava Chinni, Shalini Singh, Hans Schmitthenner, Navalgund Rao, John J. Krolewski and Kent L. Nastiuk (2016) Photoacoustic imaging with an acoustic lens detects prostate cancer cells labeled with PSMA-targeting near-infrared dye-conjugates. J. Biomed. Opt21(6):066019. doi: 10.1117/1.JBO.21.6.066019
Alexander A. Oraevsky, Lihong V. Wang, Bhargava Chinni, Zichao Han, Nicholas Brown, Pedro Vallejo, Tess Jacobs, Wayne Knox, Vikram Dogra and Navalgund Rao (2016)
Multi-acoustic lens design methodology for a low cost C-scan photoacoustic imaging camera
. . Conference Presentation in Photons Plus Ultrasound: Imaging and Sensing 2016 97081Q. doi: 10.1117/12.2212933
Saugata Sinha, Navalgund A. Rao, Bhargava K. Chinni and Vikram S. Dogra (2016) Evaluation of Frequency Domain Analysis of a Multiwavelength Photoacoustic Signal for Differentiating Malignant From Benign and Normal Prostates. 35(10):2165. doi: 10.7863/ultra.15.09059
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