Photoacoustic Imaging for Management of Breast Cancer: A Literature Review and Future Perspectives

Rao, A. Prabhakara; Bokde, Neeraj Dhanraj; Sinha, Saugata

doi:10.3390/app10030767

Cited by 40 publications

(23 citation statements)

References 109 publications

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“…Due to the widely used intermediate penetration depth achieved by IR light, higher sensitivity of IR devices, and the fast growing advancement of IR optical components, most of photoacoustic systems are implemented in this regime. Infrared photoacoustic technology has been successfully used in both preclinical (to study small animal brain [19][20][21][22], eye [23][24][25][26], and skin [27][28][29]) and clinical (to detect breast cancer [30][31][32], cervical cancer [33,34], skin melanoma [35,36], and brain tumor [37,38]) applications.…”

Section: Introductionmentioning

confidence: 99%

Overview of Ultrasound Detection Technologies for Photoacoustic Imaging

2020

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Ultrasound detection is one of the major components of photoacoustic imaging systems. Advancement in ultrasound transducer technology has a significant impact on the translation of photoacoustic imaging to the clinic. Here, we present an overview on various ultrasound transducer technologies including conventional piezoelectric and micromachined transducers, as well as optical ultrasound detection technology. We explain the core components of each technology, their working principle, and describe their manufacturing process. We then quantitatively compare their performance when they are used in the receive mode of a photoacoustic imaging system.

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Section: Introductionmentioning

confidence: 99%

Overview of Ultrasound Detection Technologies for Photoacoustic Imaging

2020

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“…Recent clinical studies have investigated opto-acoustic imaging (OA) for assessment and diagnosis of breast cancer [1]- [11]. OA helps to visualize cancerous lesions, which are metabolically more active, and tend to have higher vascularity, irregular blood vessels, and decreased oxygen saturation compared to benign lesions and healthy tissue [12]- [16].…”

Section: Introductionmentioning

confidence: 99%

“…In 2D OA imaging, subjects are scanned using a hand-held probe that incorporates an ultrasonic linear-array transducer with an integrated light delivery unit [1]- [11]. The light distribution, which depends on the illumination geometry and optical wavelength, cannot easily be confined to a 2D slice of tissue.…”

Section: Introductionmentioning

confidence: 99%

Opto-Acoustic Image Reconstruction and Motion Tracking Using Convex Optimization

Zalev¹,

Kolios²

2021

IEEE Trans. Comput. Imaging

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Opto-acoustic imaging systems detect acoustic waves produced by optical absorption to visualize molecular contrast in biological tissue. This permits non-invasive vascular assessment of benign and malignant tumors. In this article, we describe a framework to iteratively determine the motion of an opto-acoustic probe during a minimization-based image reconstruction process. The probe emits light and uses an ultrasonic transducer array to acquire data for cross-sectional slices of tissue. To improve visibility, our technique uses multiple 2D slices to perform 3D volumetric reconstruction. Our model includes wavelength-specific optical absorption, position-dependent illumination and a realistic transducer element geometry. We investigate this technique using simulated, experimentally collected, and clinically acquired data. By performing 3D image reconstruction on a digital phantom, we demonstrate estimation of elevational probe motion without external sensors. We compare images of a benign lesion from a clinical breast imaging study and observe significant artifact reduction and contrast-to-background ratio improvement using our technique. The approach has potential to improve opto-acoustic image visibility for assessment of breast cancer or other diseases.

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“…Apart from the preclinical applications, PA imaging is also used in clinical research. In addition to breast cancer monitoring [14,15] and sentinel lymph node imaging [16,17], the PA approach is also used to examine inflammatory bowel disease (IBD) [18] and the temporal arteries in patients with suspected giant cell arteritis (GCA) [19]. To expedite the clinical applications of PA imaging, recently, there has been a lot of focus on developing affordable light sources and the use of this technology in low-resource settings.…”

Section: Introductionmentioning

confidence: 99%

An Automatic Unmixing Approach to Detect Tissue Chromophores from Multispectral Photoacoustic Imaging

Grasso

Holthof

Jose

2020

Sensors

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Multispectral photoacoustic imaging has been widely explored as an emerging tool to visualize and quantify tissue chromophores noninvasively. This modality can capture the spectral absorption signature of prominent tissue chromophores, such as oxygenated, deoxygenated hemoglobin, and other biomarkers in the tissue by using spectral unmixing methods. Currently, most of the reported image processing algorithms use standard unmixing procedures, which include user interaction in the form of providing the expected spectral signatures. For translational research with patients, these types of supervised spectral unmixing can be challenging, as the spectral signature of the tissues can differ with respect to the disease condition. Imaging exogenous contrast agents and accessing their biodistribution can also be problematic, as some of the contrast agents are susceptible to change in spectral properties after the tissue interaction. In this work, we investigated the feasibility of an unsupervised spectral unmixing algorithm to detect and extract the tissue chromophores without any a-priori knowledge and user interaction. The algorithm has been optimized for multispectral photoacoustic imaging in the spectral range of 680–900 nm. The performance of the algorithm has been tested on simulated data, tissue-mimicking phantom, and also on the detection of exogenous contrast agents after the intravenous injection in mice. Our finding shows that the proposed automatic, unsupervised spectral unmixing method has great potential to extract and quantify the tissue chromophores, and this can be used in any wavelength range of the multispectral photoacoustic images.

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Photoacoustic Imaging for Management of Breast Cancer: A Literature Review and Future Perspectives

Cited by 40 publications

References 109 publications

Overview of Ultrasound Detection Technologies for Photoacoustic Imaging

Overview of Ultrasound Detection Technologies for Photoacoustic Imaging

Opto-Acoustic Image Reconstruction and Motion Tracking Using Convex Optimization

An Automatic Unmixing Approach to Detect Tissue Chromophores from Multispectral Photoacoustic Imaging

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