Noninvasive multiparametric characterization of mammary tumors with transmission-reflection optoacoustic ultrasound

Abstract

Highlights A multi-modal platform is introduced for simultaneous imaging of optical absorption, ultrasound reflectivity and speed of sound with improved resolution in whole living mice. In vivo studies of 4T1 breast cancer xenografts models revealed highly synergistic value of the hybrid imaging for characterizing mammary tumors. Multi-parametric characterization of tumor boundaries and neovascularization was demonstrated.

Multimodal Assessment of Non-Alcoholic Fatty Liver Disease with Transmission-Reflection Optoacoustic Ultrasound

“…The TROPUS imaging setup consists of a circular US transducer array, a nanosecond laser source, a data acquisition-transmission system (DAQ) and a workstation PC used for the system synchronization, data transfer, storage and processing (Fig. 1a, see Methods for details) [24]. Imaging in the MSOT mode was performed by quickly switching the optical wavelength of the nanosecond optical parametric oscillator (OPO) laser from 740 to 940 nm with a 20 nm step size at 25 Hz repetition rate in order to enable the separation of Hb, HbO 2 , melanin and lipid components, the latter having a distinct peak in its absorption spectrum at 920 nm (Fig.…”

“…Recently, a multi-modal transmission-reflection optoacoustic ultrasound (TROPUS) imaging has been suggested as a versatile imaging approach for multi-parametric anatomical, functional and molecular characterization of murine disease models [23], [24]. The full tomographic coverage of the circular transducer array used in TROPUS results in an improved contrast and resolution with MSOT, RUCT and TUCT, while further providing real-time imaging capabilities for visualizing dynamic processes [25], [26].…”

Deep Learning‐Based Optical‐Resolution Photoacoustic Microscopy for In Vivo 3D Microvasculature Imaging and Segmentation

“…The Frangi filterbased methods are also used to enhance the detection ability of the methods. [9][10][11][12][13][14][15] However, the major problem related to these methods is that the use of these methods can also result in the generation of significant extents of vascular distortions. Several image deblurring, [16,17] vascular enhancement, [18][19][20][21] and segmentation [22,23] methods, based on deep learning (DL), have been proposed for photoacoustic imaging (PAI).…”

Adaptive dual-speed ultrasound and photoacoustic computed tomography

“…Photoacoustic computed tomography (PACT) has generated increasing interest in medical imaging because of its advantages, such as molecular and functional contrasts and high resolution [1] , [2] , [3] , [4] , [5] , [6] . Ultrasound (US) imaging provides rich anatomical information and has the merits of low cost, great portability, high biosafety, and deep penetration [7] , [8] . Using one set of the ultrasonic transducer and data acquisition system, PACT and ultrasonography can be seamlessly combined for co-registered images with complementary contrasts [9] , [10] .…”