Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Jami L. Johnson is active.

Publication


Featured researches published by Jami L. Johnson.


Journal of Optics | 2016

Gas-coupled laser acoustic detection as a non-contact line detector for photoacoustic and ultrasound imaging

Jami L. Johnson; Kasper van Wijk; James N. Caron; Miriam Timmerman

Conventional contacting transducers for ultrasonic wave detection are highly sensitive and tuned for real-time imaging with fixed array geometries. However, optical detection provides an alternative to contacting transducers when a small sensor footprint, a large frequency bandwidth, or non-contacting detection is required. Typical optical detection relies on a Doppler-shifted reflection of light from the target, but gas coupled-laser acoustic detection (GCLAD) provides an alternative optical detection method for photoacoustic (PA) and ultrasound imaging that does not involve surface reflectivity. Instead, GCLAD is a line-detector that measures the deflection of an optical beam propagating parallel to the sample, as the refractive index of the air near the sample is affected by particle displacement on the sample surface. We describe the underlying principles of GCLAD and derive a formula for quantifying the surface displacement from a remote GCLAD measurement. We discuss a design for removing the location-dependent displacement bias along the probe beam and a method for measuring the attenuation coefficient of the surrounding air. GCLAD results are used to quantify the surface displacement in a laser-ultrasound experiment, which shows 94% agreement to line-integrated data from a commercial laser vibrometer point detector. Finally, we demonstrate the feasibility of PA imaging of an artery-sized absorber using a detector 5.8 cm from a phantom surface.


Journal of Biomedical Optics | 2017

Nonconfocal all-optical laser-ultrasound and photoacoustic imaging system for angle-dependent deep tissue imaging

Jami L. Johnson; Jeffrey Shragge; Kasper van Wijk

Abstract. Biomedical imaging systems incorporating both photoacoustic (PA) and ultrasound capabilities are of interest for obtaining optical and acoustic properties deep in tissue. While most dual-modality systems utilize piezoelectric transducers, all-optical systems can obtain broadband high-resolution data with hands-free operation. Previously described reflection-mode all-optical laser-ultrasound (LUS) systems use a confocal source and detector; however, angle-dependent raypaths are lost in this configuration. As a result, the overall imaging aperture is reduced, which becomes increasingly problematic with depth. We present a reflection-mode nonconfocal LUS and PA imaging system that uses signals recorded on all-optical hardware to create angle-dependent images. We use reverse-time migration and time reversal to reconstruct the LUS and PA images. We demonstrate this methodology with both a numerical model and tissue phantom experiment to image a steep-curvature vessel with a limited aperture 2-cm beneath the surface. Nonconfocal imaging demonstrates improved focusing by 30% and 15% compared to images acquired with a single LUS source in the numerical and experimental LUS images, respectively. The appearance of artifacts is also reduced. Complementary PA images are straightforward to acquire with the nonconfocal system by tuning the source wavelength and can be further developed for quantitative multiview PA imaging.


Journal of the Acoustical Society of America | 2017

A Marchenko equation for acoustic inverse source problems

J. van der Neut; Jami L. Johnson; K. van Wijk; Satyan Singh; Evert Slob; C.P.A. Wapenaar

From acoustics to medical imaging and seismology, one strives to make inferences about the structure of complex media from acoustic wave observations. This study proposes a solution that is derived from the multidimensional Marchenko equation, to learn about the acoustic source distribution inside a volume, given a set of observations outside the volume. Traditionally, this problem has been solved by backpropagation of the recorded signals. However, to achieve accurate results through backpropagation, a detailed model of the medium should be known and observations should be collected along a boundary that completely encloses the volume of excitation. In practice, these requirements are often not fulfilled and artifacts can emerge, especially in the presence of strong contrasts in the medium. On the contrary, the proposed methodology can be applied with a single observation boundary only, without the need of a detailed model. In order to achieve this, additional multi-offset ultrasound reflection data must be acquired at the observation boundary. The methodology is illustrated with one-dimensional synthetics of a photoacoustic imaging experiment. A distribution of simultaneously acting sources is recovered in the presence of sharp density perturbations both below and above the embedded sources, which result in significant scattering that complicates the use of conventional methods.


Journal of Laboratory Automation | 2015

PLACE An Open-Source Python Package for Laboratory Automation, Control, and Experimentation

Jami L. Johnson; Henrik tom Wörden; Kasper van Wijk

In modern laboratories, software can drive the full experimental process from data acquisition to storage, processing, and analysis. The automation of laboratory data acquisition is an important consideration for every laboratory. When implementing a laboratory automation scheme, important parameters include its reliability, time to implement, adaptability, and compatibility with software used at other stages of experimentation. In this article, we present an open-source, flexible, and extensible Python package for Laboratory Automation, Control, and Experimentation (PLACE). The package uses modular organization and clear design principles; therefore, it can be easily customized or expanded to meet the needs of diverse laboratories. We discuss the organization of PLACE, data-handling considerations, and then present an example using PLACE for laser-ultrasound experiments. Finally, we demonstrate the seamless transition to post-processing and analysis with Python through the development of an analysis module for data produced by PLACE automation.


Journal of Medical Devices-transactions of The Asme | 2013

All-Optical Photoacoustic Detection of Absorbers in Tissue Phantoms

Jami L. Johnson; Michelle Sabick; Kasper VanWijk

Visualizing and characterizing vascular structures is important for many areas of health care, from accessing difficult veins and arteries for laboratory testing, to diagnosis and treatment of cardiovascular disease. Photoacoustic (PA) imaging, one of the fastest growing fields of biomedical imaging, is well suited for this task. PA imaging is based on the photoacoustic effect, which starts with a pulsed laser source incident on biological tissue. If the wavelength of the source matches an absorption wavelength of a chromophore within the tissue, a portion of the pulse energy is absorbed by the chromophore and converted into heat. A subsequent increase in temperature, followed by an increase in pressure occurs. Acoustic waves are emitted when this pressure relaxes, which can be detected at the surface of the tissue. PA imaging is considered absorption based, therefore spectroscopic information can be extracted. Yet, unlike purely optical imaging techniques, multiple centimeters of depth can be imaged. Vascular structures, in particular, can be viewed with high contrast using PA imaging, because the absorption coefficient of blood is up to six orders of magnitude higher than surrounding tissues [1]. Additional chromophores, such as lipids in atherosclerotic plaque, are beginning to be imaged using PA techniques in vitro [2]. Contacting piezoelectric transducers are often used for detecting acoustic waves in PA imaging. In many clinical situations, however, these transducers are unfavorable due to environmental constraints, or frequency response and spatial resolution needs [3]. The ability to image without contacting the patient, and without the need for personnel to manually control a transducer, creates the opportunity for this technique to be useful in both clinical and surgical procedures. A non-contact system has the potential to be used by practitioners who require access to the vascular system such as surgeons, nurses, and phlebotomists. An additional application of this device is as an aid for surgical procedures, such as catheter interventions. Interferometry is beginning to be explored as a method of non-contact PA imaging [4]. In this study, an experiment toward non-contact photoacoustic imaging was accomplished. A broadband interferometer was used, which measured particle velocity remotely. Absorbing structures in tissue mimicking phantoms were detected at various depths with the use of an all-optical, computer-controlled photoacoustic system.


Photoacoustics | 2018

All-optical extravascular laser-ultrasound and photoacoustic imaging of calcified atherosclerotic plaque in excised carotid artery

Jami L. Johnson; Mervyn Merrilees; Jeffrey Shragge; Kasper van Wijk

Photoacoustic (PA) imaging may be advantageous as a safe, non-invasive imaging modality to image the carotid artery. However, calcification that accompanies atherosclerotic plaque is difficult to detect with PA due to the non-distinct optical absorption spectrum of hydroxyapatite. We propose reflection-mode all-optical laser-ultrasound (LUS) imaging to obtain high-resolution, non-contact, non-ionizing images of the carotid artery wall and calcification. All-optical LUS allows for flexible acquisition geometry and user-dependent data acquisition for high repeatability. We apply all-optical techniques to image an excised human carotid artery. Internal layers of the artery wall, enlargement of the vessel, and calcification are observed with higher resolution and reduced artifacts with nonconfocal LUS compared to confocal LUS. Validation with histology and X-ray computed tomography (CT) demonstrates the potential for LUS as a method for non-invasive imaging in the carotid artery.


Proceedings of SPIE | 2017

All-optical Photoacoustic and laser-ultrasound imaging of fixed arterial tissue (Conference Presentation)

Jami L. Johnson; Kasper van Wijk; Mervyn J. Merrilees

Arterial tissue imaging and characterization is important for disease diagnosis, treatment planning and monitoring, and research into disease processes. The high optical contrast of photoacoustic imaging can distinguish molecules with unique optical spectra from surrounding arterial tissue, while ultrasound is sensitive to variations in acoustic properties. Combining photoacoustics with ultrasonics provides more comprehensive diagnostic information by extracting molecular information from photoacoustics and structural information from ultrasound. Furthermore, ultrasound may be able to distinguish molecules with indistinct optical spectra but strong acoustic properties, such as calcification. In this work we will present our results applying our recently developed all-optical, multi-channel photoacoustic and laser-ultrasound imaging techniques to arterial tissue ex-vivo. We first apply redatuming techniques to remove reverberation artifacts, and subsequently image with time-reversal.


Proceedings of SPIE | 2016

Photoacoustic and ultrasound imaging with a gas-coupled laser acoustic line detector

Jami L. Johnson; Kasper van Wijk; James N. Caron; Miriam Timmerman

Conventional contacting transducers are highly sensitive and readily available for ultrasonic and photoacoustic imaging. On the other hand, optical detection can be advantageous when a small sensor footprint, large bandwidth and no contact are essential. However, most optical methods utilizing interferometry or Doppler vibrometry rely on the reflection of light from the object. We present a non-contact detection method for photoacoustic and ultrasound imaging--termed Gas-Coupled Laser Acoustic Detection (GCLAD)--that does not involve surface reflectivity. GCLAD measures the displacement along a line in the air parallel to the object. Information about point displacements along the line is lost with this method, but resolution is increased over techniques that utilize finite point-detectors when used as an integrating line detector. In this proceeding, we present a formula for quantifying surface displacement remotely with GCLAD. We will validate this result by comparison with a commercial vibrometer. Finally, we will present two-dimensional imaging results using GCLAD as a line detector for photoacoustic and laser-ultrasound imaging.


Archive | 2012

Optical Monitoring and Computing Devices and Methods of Use

Jami L. Johnson; Michelle Sabick


Ultrasound in Medicine and Biology | 2014

CHARACTERIZING PHANTOM ARTERIES WITH MULTI-CHANNEL LASER ULTRASONICS AND PHOTO-ACOUSTICS

Jami L. Johnson; Kasper van Wijk; Michelle Sabick

Collaboration


Dive into the Jami L. Johnson's collaboration.

Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

James N. Caron

The Catholic University of America

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Fang Ou

University of Auckland

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Researchain Logo
Decentralizing Knowledge