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Dive into the research topics where Hassan S. Salehi is active.

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Featured researches published by Hassan S. Salehi.


Biomedical Optics Express | 2014

A low-cost photoacoustic microscopy system with a laser diode excitation

Tianheng Wang; Sreyankar Nandy; Hassan S. Salehi; Patrick D. Kumavor; Quing Zhu

Photoacoustic microscopy (PAM) is capable of mapping microvasculature networks in biological tissue and has demonstrated great potential for biomedical applications. However, the clinical application of the PAM system is limited due to the use of bulky and expensive pulsed laser sources. In this paper, a low-cost optical-resolution PAM system with a pulsed laser diode excitation has been introduced. The lateral resolution of this PAM system was estimated to be 7 µm by imaging a carbon fiber. The phantoms made of polyethylene tubes filled with blood and a mouse ear were imaged to demonstrate the feasibility of this PAM system for imaging biological tissues.


Ultrasonic Imaging | 2016

Ultrasound-Guided Diffuse Optical Tomography for Predicting and Monitoring Neoadjuvant Chemotherapy of Breast Cancers Recent Progress

Chen Xu; Hamed Vavadi; Alex Merkulov; Hai Li; Mohsen Erfanzadeh; Atahar Mostafa; Yanping Gong; Hassan S. Salehi; Susan Tannenbaum; Quing Zhu

In this manuscript, we review the current progress of utilizing ultrasound-guided diffuse optical tomography (US-guided DOT) for predicting and monitoring neoadjuvant chemotherapy (NAC) outcomes of breast cancer patients. We also report the recent advance on optical tomography systems toward portable and robust clinical use at multiple clinical sites. The first patient who has been closely monitored before NAC, at day 2, day 8, end of first three cycles of NAC, and before surgery is given as an example to demonstrate the potential of US-guided DOT technique.


Biomedical Optics Express | 2014

Design of miniaturized illumination for transvaginal co-registered photoacoustic and ultrasound imaging

Hassan S. Salehi; Tianheng Wang; Patrick D. Kumavor; Hai Li; Quing Zhu

A novel lens-array based illumination design for a compact co-registered photoacoustic/ultrasound transvaginal probe has been demonstrated. The lens array consists of four cylindrical lenses that couple the laser beams into four 1-mm-core multi-mode optical fibers with optical coupling efficiency of ~87%. The feasibility of our lens array was investigated by simulating the lenses and laser beam profiles using Zemax. The laser fluence on the tissue surface was experimentally measured and was below the American National Standards Institute (ANSI) safety limit. Spatial distribution of hemoglobin oxygen saturation (sO2) of a mouse tumor was obtained in vivo using photoacoustic measurements at multiple wavelengths. Furthermore, benign and malignant ovaries were imaged ex vivo and evaluated histologically. The co-registered images clearly showed different patterns of blood vasculature. These results highlight the clinical potential of our system for noninvasive photoacoustic and ultrasound imaging of ovarian tissue and cancer detection and diagnosis.


Photoacoustics | 2015

Design of optimal light delivery system for co-registered transvaginal ultrasound and photoacoustic imaging of ovarian tissue

Hassan S. Salehi; Patrick D. Kumavor; Hai Li; Umar Alqasemi; Tianheng Wang; Chen Xu; Quing Zhu

A hand-held transvaginal probe suitable for co-registered photoacoustic and ultrasound imaging of ovarian tissue was designed and evaluated. The imaging probe consists of an ultrasound transducer and four 1-mm-core multi-mode optical fibers both housed in a custom-made sheath. The probe was optimized for the highest light delivery output and best beam uniformity on tissue surface, by simulating the light fluence and power output for different design parameters. The laser fluence profiles were experimentally measured through chicken breast tissue and calibrated intralipid solution at various imaging depths. Polyethylene tubing filled with rat blood mimicking a blood vessel was successfully imaged up to ∼30 mm depth through porcine vaginal tissue at 750 nm. This imaging depth was achieved with a laser fluence on the tissue surface of 20 mJ/cm2, which is below the maximum permissible exposure (MPE) of 25 mJ/cm2 recommended by the American National Standards Institute (ANSI). Furthermore, the probe imaging capability was verified with ex vivo imaging of benign and malignant human ovaries. The co-registered images clearly showed different vasculature distributions on the surface of the benign cyst and the malignant ovary. These results suggest that our imaging system has the clinical potential for in vivo imaging and characterization of ovarian tissues.


Journal of Biomedical Optics | 2016

Coregistered photoacoustic and ultrasound imaging and classification of ovarian cancer: ex vivo and in vivo studies

Hassan S. Salehi; Hai Li; Alex Merkulov; Patrick D. Kumavor; Hamed Vavadi; Melinda Sanders; Angela Kueck; Molly Brewer; Quing Zhu

Abstract. Most ovarian cancers are diagnosed at advanced stages due to the lack of efficacious screening techniques. Photoacoustic tomography (PAT) has a potential to image tumor angiogenesis and detect early neovascular changes of the ovary. We have developed a coregistered PAT and ultrasound (US) prototype system for real-time assessment of ovarian masses. Features extracted from PAT and US angular beams, envelopes, and images were input to a logistic classifier and a support vector machine (SVM) classifier to diagnose ovaries as benign or malignant. A total of 25 excised ovaries of 15 patients were studied and the logistic and SVM classifiers achieved sensitivities of 70.4 and 87.7%, and specificities of 95.6 and 97.9%, respectively. Furthermore, the ovaries of two patients were noninvasively imaged using the PAT/US system before surgical excision. By using five significant features and the logistic classifier, 12 out of 14 images (86% sensitivity) from a malignant ovarian mass and all 17 images (100% specificity) from a benign mass were accurately classified; the SVM correctly classified 10 out of 14 malignant images (71% sensitivity) and all 17 benign images (100% specificity). These initial results demonstrate the clinical potential of the PAT/US technique for ovarian cancer diagnosis.


Biomedical Optics Express | 2015

Correlating optical coherence elastography based strain measurements with collagen content of the human ovarian tissue

Sreyankar Nandy; Hassan S. Salehi; Tianheng Wang; Xiaohong Wang; Melinda Sanders; Angela Kueck; Molly Brewer; Quing Zhu

In this manuscript, the initial feasibility of a catheter based phase stabilized swept source optical coherence tomography (OCT) system was studied for characterization of the strain inside different human ovarian tissue groups. The ovarian tissue samples were periodically compressed with 500 Hz square wave signal along the axial direction between the surface of an unfocused transducer and a glass cover slide. The displacement and corresponding strain were calculated during loading from different locations for each tissue sample. A total of 27 ex vivo ovaries from 16 patients were investigated. Statistically significant difference (p < 0.001) was observed between the average displacement and strain of the normal and malignant tissue groups. A sensitivity of 93.2% and a specificity of 83% were achieved using 25 microstrain (με) as the threshold. The collagen content of the tissues was quantified from the Sirius Red stained histological sections. The average collagen area fraction (CAF) obtained from the tissue groups were found to have a strong negative correlation (R = -0.75, p < 0.0001) with the amount of strain inside the tissue. This indicates much softer and degenerated tissue structure for the malignant ovaries as compared to the dense, collagen rich structure of the normal ovarian tissue. The initial results indicate that the swept source OCT system can be useful for estimating the elasticity of the human ovarian tissue.


IEEE Transactions on Biomedical Engineering | 2014

Toward Miniature Diffuse Optical Tomography System for Assessing Neoadjuvant Chemotherapy

Chen Xu; Hamed Vavadi; Jigi Chen; Mohsen Erfanzadeh; Quangqian Yuan; Yanping Gong; Hassan S. Salehi; Hai Li; Quing Zhu

In this paper, an improved near-infrared diffuse optical tomography system with compact size, miniature-data-acquisition module using FPGA, and a robust probe is introduced for assessing neoadjuvant chemotherapy response at multiple hospital sites.


IEEE Transactions on Biomedical Engineering | 2014

Co-Registered Ultrasound and Photoacoustic Probe with a Miniaturized Light Illumination Scheme for in vivo Ovarian Cancer Imaging

Hassan S. Salehi; Tianheng Wang; Hai Li; Patrick D. Kumavor; Quing Zhu

A novel illumination setup for compact pulse-echo/photoacoustic transvaginal probe is presented. Hemoglobin oxygen-saturation of mouse tumor was imaged in vivo. The results suggest that it has great potential for in vivo ovarian cancer imaging.


Proceedings of SPIE | 2016

Improvement and evaluation of a low-cost laser diode photoacoustic microscopy system for ovarian tissue imaging

Mohsen Erfanzadeh; Hassan S. Salehi; Patrick D. Kumavor; Quing Zhu

We present a laser diode-based photoacoustic microscopy (PAM) system with a minimized light intensity loss for ovarian tissue imaging. A 905 nm, 650 W output peak power pulsed laser diode (PLD) is utilized as the light source. The intrinsic properties and the construction of this PLD typically make it challenging to focus its beam to a small spot size with a lowloss optical system. An optical system comprising a combination of aspheric and cylindrical lenses is presented that allows a low-loss collimation and tight focusing of the light beam. The lateral resolution of this PAM system is measured to be 40 μm using edge spread function estimation. Images of black human hairs, polyethylene tubes filled with rat blood, ex vivo mouse ear and ex vivo porcine ovary are presented.


Journal of The Optical Society of America A-optics Image Science and Vision | 2016

Method for estimating closed-form solutions of the light diffusion equation for turbid media of any boundary shape.

Umar Alqasemi; Hassan S. Salehi; Quing Zhu

This paper reports a method of estimating an approximate closed-form solution to the light diffusion equation for any type of geometry involving Dirichlets boundary condition with known source location. It is based on estimating the optimum locations of multiple imaginary point sources to cancel the fluence at the extrapolated boundary by constrained optimization using a genetic algorithm. The mathematical derivation of the problem to approach the optimum solution for the direct-current type of diffuse optical systems is described in detail. Our method is first applied to slab geometry and compared with a truncated series solution. After that, it is applied to hemispherical geometry and compared with Monte Carlo simulation results. The method provides a fast and sufficiently accurate fluence distribution for optical reconstruction.

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Quing Zhu

University of Connecticut

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Hai Li

University of Connecticut

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Tianheng Wang

University of Connecticut

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Melinda Sanders

University of Connecticut Health Center

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Molly Brewer

University of Connecticut Health Center

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Sreyankar Nandy

University of Connecticut

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Aditya Tadinada

University of Connecticut

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Chen Xu

University of Connecticut

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Hamed Vavadi

University of Connecticut

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