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John Kucewicz

Senior Engineer

Email

kucewicz@uw.edu

Phone

206-221-3283

Education

B.S. Computer Engineering, Texas A&M University, 1995

Ph.D. Bioengineering, University of Washington, 2004

Publications

2000-present and while at APL-UW

Automated brain segmentation for guidance of ultrasonic transcranial tissue pulsatility image analysis

Leotta, D.F., J.C. Kucewicz, N. LaPiana, and P.D. Mourad, "Automated brain segmentation for guidance of ultrasonic transcranial tissue pulsatility image analysis," Neurosci. Inf., 3 doi:10.1016/j.neuri.2023.100146, 2023.

More Info

1 Dec 2023

Tissue pulsatility imaging is an ultrasonic technique that can be used to map regional changes in blood flow in the brain. Classification of regional differences in pulsatility signals can be optimized by restricting the analysis to brain tissue. For 2D transcranial ultrasound imaging, we have implemented an automated image analysis procedure to specify a region of interest in the field of view that corresponds to brain.

Our segmentation method applies an initial K-means clustering algorithm that incorporates both echo strength and tissue displacement to identify skull in ultrasound brain scans. The clustering step is followed by processing steps that use knowledge of the scan format and anatomy to create an image mask that designates brain tissue. Brain regions were extracted from the ultrasound data using different numbers of K-means clusters and multiple combinations of ultrasound data. Masks generated from ultrasound data were compared with reference masks derived from Computed Tomography (CT) data.

A segmentation algorithm based on ultrasound intensity with two K-means clusters achieves an accuracy better than 80% match with the CT data. Some improvement in the match is found with an algorithm that uses ultrasound intensity and displacement data, three K-means clusters, and addition of an algorithm to identify shallow sources of ultrasound shadowing.

Several segmentation algorithms achieve a match of over 80% between the ultrasound and Computed Tomography brain masks. A final tradeoff can be made between processing complexity and the best match of the two data sets.

Sonographic features of abscess maturation in a porcine model

Lotta, D.F., M. Bruce, Y.-N. Wang, J. Kucewicz, T.K. Khokhlova, K. Chan, W. Monsky, and T.J. Matula, "Sonographic features of abscess maturation in a porcine model," Ultrasound Med. Biol., 47, 1920-1930, doi:10.1016/j.ultrasmedbio.2021.03.011, 2021.

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1 Jul 2021

Abscesses are walled-off collections of infected fluids that often develop as complications in the setting of surgery and trauma. Treatment is usually limited to percutaneous catheterization with a course of antibiotics. As an alternative to current treatment strategies, a histotripsy approach was developed and tested in a novel porcine animal model. The goal of this article is to use advanced ultrasound imaging modes to extract sonographic features associated with the progression of abscess development in a porcine model. Intramuscular or subcutaneous injections of a bi-microbial bacteria mixture plus dextran particles as an irritant led to identifiable abscesses over a 2 to 3 wk period. Selected abscesses were imaged at least weekly with B-mode, 3-D B-mode, shear-wave elastography and plane-wave Doppler imaging. Mature abscesses were characterized by a well-defined core of varying echogenicity surrounded by a hypoechoic capsule that was highly vascularized on Doppler imaging. 3-D imaging demonstrated the natural history of abscess morphology, with the abscess becoming less complex in shape and increasing in volume. Furthermore, shear-wave elastography demonstrated variations in stiffness as phlegmon becomes abscess and then liquefies, over time. These ultrasound features potentially provide biomarkers to aid in selection of treatment strategies for abscesses.

Treating porcine abscesses with histotripsy: A pilot study

Matula, T.J., Y.-N. Wang, T. Khokhlova, D.F. Leotta, J. Kucewicz, A.A. Brayman, M. Bruce, A.D. Maxwell, B.E. MacConaghy, G. Thomas, V.P. Chernikov, S.V. Buravkov, V.A. Khokhlova, K. Richmond, K. Chan, W. Monsky, "Treating porcine abscesses with histotripsy: A pilot study," Ultrasound Med. Biol., 47, 603-619, doi:10.1016/j.ultrasmedbio.2020.10.011, 2021.

More Info

1 Mar 2021

Infected abscesses are walled-off collections of pus and bacteria. They are a common sequela of complications in the setting of surgery, trauma, systemic infections and other disease states. Current treatment is typically limited to antibiotics with long-term catheter drainage, or surgical washout when inaccessible to percutaneous drainage or unresponsive to initial care efforts. Antibiotic resistance is also a growing concern. Although bacteria can develop drug resistance, they remain susceptible to thermal and mechanical damage. In particular, short pulses of focused ultrasound (i.e., histotripsy) generate mechanical damage through localized cavitation, representing a potential new paradigm for treating abscesses non-invasively, without the need for long-term catheterization and antibiotics. In this pilot study, boiling and cavitation histotripsy treatments were applied to subcutaneous and intramuscular abscesses developed in a novel porcine model. Ultrasound imaging was used to evaluate abscess maturity for treatment monitoring and assessment of post-treatment outcomes. Disinfection was quantified by counting bacteria colonies from samples aspirated before and after treatment. Histopathological evaluation of the abscesses was performed to identify changes resulting from histotripsy treatment and potential collateral damage. Cavitation histotripsy was more successful in reducing the bacterial load while having a smaller treatment volume compared with boiling histotripsy. The results of this pilot study suggest focused ultrasound may lead to a technology for in situ treatment of acoustically accessible abscesses.

More Publications

Inventions

Filtering Systems and Methods for Suppression of Non-Stationary Reverberation in Ultrasound Images

The present technology is generally directed to filtering systems and methods for suppression of reverberation artifacts in ultrasound images. In some embodiments, a method of obtaining a filtered ultrasound image includes taking a first ultrasound image of a target tissue using an applicator. At least a portion of the applicator is moved such that the reverberation artifact ultrasound path length changes relative to the first position of the applicator. A second ultrasound image of the target tissue is then taken. The first and second ultrasound images are synthesized using at least one filtering method. The filtering method attenuates or removes reverberation artifacts in the synthesized ultrasound image.

Patent Number: 10,713,758

John Kucewicz

Patent

7 Jul 2020

Ultrasound Based Method and Apparatus for Stone Detection and to Facilitate Clearance Thereof

Patent Number: 9,597,103

Mike Bailey, John Kucewicz, Barbrina Dunmire, Neil Owen, Bryan Cunitz

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Patent

21 Mar 2017

Described herein are methods and apparatus for detecting stones by ultrasound, in which the ultrasound reflections from a stone are preferentially selected and accentuated relative to the ultrasound reflections from blood or tissue. Also described herein are methods and apparatus for applying pushing ultrasound to in vivo stones or other objects, to facilitate the removal of such in vivo objects.

Ultrasound based method and apparatus for stone detection and to facilitate clearance thereof

Patent Number: 9,204,859

Mike Bailey, Bryan Cunitz, Barbrina Dunmire, John Kucewicz, Oleg Sapozhnikov

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Patent

8 Dec 2015

Described herein are methods and apparatus for detecting stones by ultrasound, in which the ultrasound reflections from a stone are preferentially selected and accentuated relative to the ultrasound reflections from blood or tissue. Also described herein are methods and apparatus for applying pushing ultrasound to in vivo stones or other objects, to facilitate the removal of such in vivo objects.

Acoustics Air-Sea Interaction & Remote Sensing Center for Environmental & Information Systems Center for Industrial & Medical Ultrasound Electronic & Photonic Systems Ocean Engineering Ocean Physics Polar Science Center
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