Mr. Hai Li Profile

Hai Li

Sr Development Engineer

SPIE Involvement:

Author

Publications (15)

Proceedings Article | 26 February 2021 Presentation

Full chip computational lithography for KrF multi-focal imaging (MFI) (Conference Presentation)

Will Conley, Vince Vince Plachecki, Stephen Hsu, Michael Crouse, Rongkuo Zhao, John He, Pieter Scheijgrond, Dezheng Sun, Xiaoyang Li, Dongqing Zhang, Ming-Chun Tien, Jun Ye, Rafael Howell, Chen Liu, Xiaolong Zhang, Hai Li, Zuanyi Li, Xiaobo Xie, Jing Su, Yzzer Roman

Proceedings Volume 11613, 116130E (2021) https://doi.org/10.1117/12.2585651

Read Abstract +

Proceedings Article | 12 March 2015 Paper

Development of a robust and fast calibration procedure for diffuse optical tomography

Chen Xu, Hai Li, Guangqian Yuan, Hamed Vavadi, Quing Zhu

Proceedings Volume 9319, 93192E (2015) https://doi.org/10.1117/12.2084980

KEYWORDS: Calibration, Diffuse optical tomography, Data processing, Ultrasonography, Sensors, Near infrared, Breast, Data acquisition, Tumors, Optical properties

Read Abstract +

Proceedings Article | 11 March 2015 Paper

Wavelength optimization for in vivo multispectral photoacoustic/ultrasound tomography of hemoglobin oxygenation in ovarian cancer: clinical studies

Hassan Salehi, Hai Li, Patrick Kumavor, Aleksey Merkulov, Melinda Sanders, Molly Brewer, Quing Zhu

Proceedings Volume 9323, 932303 (2015) https://doi.org/10.1117/12.2080385

KEYWORDS: In vivo imaging, Oxygen, Photoacoustic spectroscopy, Ovarian cancer, Tumors, Ovary, Ultrasonography, Imaging systems, Acquisition tracking and pointing, Tomography

Read Abstract +

SPIE Journal Paper | 2 January 2015 Open Access

Utilizing spatial and spectral features of photoacoustic imaging for ovarian cancer detection and diagnosis

Hai Li, Patrick Kumavor, Umar Salman Alqasemi, Quing Zhu

JBO, Vol. 20, Issue 01, 016002, (January 2015) https://doi.org/10.1117/12.10.1117/1.JBO.20.1.016002

KEYWORDS: Acquisition tracking and pointing, Ovary, Ultrasonography, Spatial filters, Absorption, Photoacoustic imaging, Ovarian cancer, Cancer, Feature extraction, Photoacoustic spectroscopy

Read Abstract +

DOWNLOAD PAPER

SPIE Journal Paper | 28 July 2014 Open Access

Interlaced photoacoustic and ultrasound imaging system with real-time coregistration for ovarian tissue characterization

Umar Alqasemi, Hai Li, Guangqian Yuan, Patrick Kumavor, Saeid Zanganeh, Quing Zhu

JBO, Vol. 19, Issue 07, 076020, (July 2014) https://doi.org/10.1117/12.10.1117/1.JBO.19.7.076020

KEYWORDS: Acquisition tracking and pointing, Imaging systems, Field programmable gate arrays, Ovary, Tumors, Ultrasonography, Tissue optics, Data acquisition, Photoacoustic spectroscopy, Digital signal processing

Read Abstract +

DOWNLOAD PAPER

Proceedings Article | 3 March 2014 Paper

Classification algorithm of ovarian tissue based on co-registered ultrasound and photoacoustic tomography

Hai Li, Patrick Kumavor, Umar Alqasemi, Quing Zhu

Proceedings Volume 8943, 894349 (2014) https://doi.org/10.1117/12.2040467

KEYWORDS: Acquisition tracking and pointing, Ovary, Ultrasonography, Photoacoustic spectroscopy, Feature extraction, Composites, Absorption, Image filtering, Radon transform, Tissue optics

Read Abstract +

Proceedings Article | 3 March 2014 Paper

High-throughput fiber-array transvaginal ultrasound/photoacoustic probe for ovarian cancer imaging

Hassan Salehi, Patrick Kumavor, Umar Alqasemi, Hai Li, Tianheng Wang, Quing Zhu

Proceedings Volume 8943, 894335 (2014) https://doi.org/10.1117/12.2037082

KEYWORDS: Ultrasonography, Transducers, Ovarian cancer, Optical fibers, Computer simulations, Tissue optics, Aluminum, Zemax, Photoacoustic imaging, Photoacoustic spectroscopy

Read Abstract +

SPIE Journal Paper | 16 December 2013 Open Access

Indocyanine green enhanced co-registered diffuse optical tomography and photoacoustic tomography

Chen Xu, Patrick Kumavor, Umar Alqasemi, Hai Li, Yan Xu, Saeid Zanganeh, Quing Zhu

JBO, Vol. 18, Issue 12, 126006, (December 2013) https://doi.org/10.1117/12.10.1117/1.JBO.18.12.126006

KEYWORDS: Acquisition tracking and pointing, Tumors, Ultrasonography, Absorption, Diffuse optical tomography, Indocyanine green, Tissue optics, Photoacoustic spectroscopy, Optical fibers, Bladder

Read Abstract +

DOWNLOAD PAPER

SPIE Journal Paper | 3 September 2013 Open Access

Photoacoustic imaging enhanced by indocyanine green-conjugated single-wall carbon nanotubes

Saeid Zanganeh, Hai Li, Patrick Kumavor, Umar Alqasemi, Andres Aguirre, Innus Mohammad, Courtney Stanford, Michael Smith, Quing Zhu

JBO, Vol. 18, Issue 09, 096006, (September 2013) https://doi.org/10.1117/12.10.1117/1.JBO.18.9.096006

KEYWORDS: Tumors, Acquisition tracking and pointing, Luminescence, Absorption, Photoacoustic imaging, Imaging systems, Carbon nanotubes, In vivo imaging, Nanoparticles, Ultrasonography

Read Abstract +

DOWNLOAD PAPER

Proceedings Article | 4 March 2013 Paper

Real-time interlaced ultrasound and photoacoustic system for in vivo ovarian tissue imaging

Umar Alqasemi, Hai Li, Guangqian Yuan, Patrick Kumavor, Saeid Zanganeh, Quing Zhu

Proceedings Volume 8581, 85814S (2013) https://doi.org/10.1117/12.2008273

KEYWORDS: Imaging systems, Acquisition tracking and pointing, Ultrasonography, Field programmable gate arrays, Ovary, Tumors, Tissue optics, In vivo imaging, Pulsed laser operation, Ovarian cancer

Read Abstract +

Proceedings Article | 4 March 2013 Paper

Transvaginal photoacoustic imaging probe and system based on a multiport fiber-optic beamsplitter and a real time imager for ovarian cancer detection

Patrick Kumavor, Umar Alqasemi, Behnoosh Tavakoli, Hai Li, Yi Yang, Quing Zhu

Proceedings Volume 8581, 85813L (2013) https://doi.org/10.1117/12.2004768

KEYWORDS: Ovary, Transducers, Ultrasonography, Imaging systems, Beam splitters, Photoacoustic spectroscopy, Tissue optics, Photoacoustic imaging, Fiber optics, Ovarian cancer

Read Abstract +

Proceedings Article | 4 March 2013 Paper

Single wall carbon nanotube/bis carboxylic acid-ICG as a sensitive contrast agent for in vivo tumor imaging in photoacoustic tomography

Saeid Zanganeh, Hai Li, Patrick Kumavor, Umar Alqasemi, Andres Aguirre, Innus Mohammad, Courtney Stanford, Michael Smith, Quing Zhu

Proceedings Volume 8581, 85814R (2013) https://doi.org/10.1117/12.2008179

KEYWORDS: Tumors, Acquisition tracking and pointing, In vivo imaging, Photoacoustic spectroscopy, Photoacoustic imaging, Imaging systems, Absorption, Ultrasonography, Carbon nanotubes, Photoacoustic tomography

Read Abstract +

Proceedings Article | 23 February 2012 Paper

Ultrafast ultrasound and photoacoustic co-registered imaging system based on FPGA parallel processing

Umar Alqasemi, Hai Li, Guangqian Yuan, Andres Aguirre, Quing Zhu

Proceedings Volume 8223, 82232U (2012) https://doi.org/10.1117/12.907583

KEYWORDS: Field programmable gate arrays, Ultrasonography, Data acquisition, Imaging systems, Photoacoustic spectroscopy, Digital signal processing, Image processing, Signal processing, Pulsed laser operation, Ultrafast imaging

Read Abstract +

Proceedings Article | 28 February 2011 Paper

Hypoxia targeted carbon nanotubes as a sensitive contrast agent for photoacoustic imaging of tumors

Saeid Zanganeh, Andres Aguirre, Nrusingh Biswal, Christopher Pavlik, Michael Smith, Umar Alqasemi, Hai Li, Quing Zhu

Proceedings Volume 7899, 78991S (2011) https://doi.org/10.1117/12.878832

KEYWORDS: Tumors, Carbon nanotubes, Photoacoustic imaging, Photoacoustic spectroscopy, Absorption, Hypoxia, Near infrared, Single walled carbon nanotubes, In vivo imaging, Digital signal processing

Read Abstract +

Proceedings Article | 23 February 2011 Paper

Real-time co-registered ultrasound and photoacoustic imaging system based on FPGA and DSP architecture

Umar Alqasemi, Hai Li, Andres Aguirre, Quing Zhu

Proceedings Volume 7899, 78993S (2011) https://doi.org/10.1117/12.875616

KEYWORDS: Digital signal processing, Field programmable gate arrays, Imaging systems, Ultrasonography, Image processing, Transducers, Photoacoustic imaging, Neodymium, Photoacoustic spectroscopy, Data acquisition

Read Abstract +

Co-registering ultrasound (US) and photoacoustic (PA) imaging is a logical extension to conventional ultrasound because both modalities provide complementary information of tumor morphology, tumor vasculature and hypoxia for cancer detection and characterization. In addition, both modalities are capable of providing real-time images for clinical applications. In this paper, a Field Programmable Gate Array (FPGA) and Digital Signal Processor (DSP) module-based real-time US/PA imaging system is presented. The system provides real-time US/PA data acquisition and image display for up to 5 fps^* using the currently implemented DSP board. It can be upgraded to 15 fps, which is the maximum pulse repetition rate of the used laser, by implementing an advanced DSP module. Additionally, the photoacoustic RF data for each frame is saved for further off-line processing. The system frontend consists of eight 16-channel modules made of commercial and customized circuits. Each 16-channel module consists of two commercial 8-channel receiving circuitry boards and one FPGA board from Analog Devices. Each receiving board contains an IC† that combines. 8-channel low-noise amplifiers, variable-gain amplifiers, anti-aliasing filters, and ADC's^‡ in a single chip with sampling frequency of 40MHz. The FPGA board captures the LVDSξ Double Data Rate (DDR) digital output of the receiving board and performs data conditioning and subbeamforming. A customized 16-channel transmission circuitry is connected to the two receiving boards for US pulseecho (PE) mode data acquisition. A DSP module uses External Memory Interface (EMIF) to interface with the eight 16-channel modules through a customized adaptor board. The DSP transfers either sub-beamformed data (US pulse-echo mode or PAI imaging mode) or raw data from FPGA boards to its DDR-2 memory through the EMIF link, then it performs additional processing, after that, it transfer the data to the PC^** for further image processing. The PC code performs image processing including demodulation, beam envelope detection and scan conversion. Additionally, the PC code pre-calculates the delay coefficients used for transmission focusing and receiving dynamic focusing for different types of transducers to speed up the imaging process. To further speed up the imaging process, a multi-threads technique is implemented in order to allow formation of previous image frame data and acquisition of the next one simultaneously. The system is also capable of doing semi-real-time automated SO₂ imaging at 10 seconds per frame by changing the wavelength knob of the laser automatically using a stepper motor controlled by the system. Initial in vivo experiments were performed on animal tumors to map out its vasculature and hypoxia level, which were superimposed on co-registered US images. The real-time system allows capturing co-registered US/PA images free of motion artifacts and also provides dynamitic information when contrast agents are used.

Showing 5 of 15 publications

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Keywords/Phrases

Search In:

Publication Years