Xiaotian Wu

Dr. Xiaotian Wu

orcid

Research Focus & Metrics

Academic Career Length

12Years (2015-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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22 May 2017 in Physiological Measurement
Verified
Journal Article
Closed access
PDF file
EMEthan Murphy
Ethan Murphy
AMAditya Mahara
Aditya Mahara
XWXiaotian Wu
Xiaotian Wu
RHRyan J Halter
Ryan J Halter
Objective . A soft-prior regularization (SR) electrical impedance tomography (EIT) technique for breast cancer imaging is described, which shows an ability to accurately reconstruct tumor/inclusion conductivity values within a dense breast model investigated using a cylindrical and a breast-shaped tank. Approach . The SR-EIT method relies on knowing the spatial location of a suspicious lesion initially detected from a second imaging modality. Standard approaches (using Laplace smoothing and total variation regularization) without prior structural information are unable to accurately reconstruct or detect the tumors. The soft-prior approach represents a very significant improvement to these standard approaches, and has the potential to improve conventional imaging techniques, such as automated whole breast ultrasound (AWB-US), by providing electrical property information of suspicious lesions to improve AWB-US’s ability to discriminate benign from cancerous lesions. Main results . Specifically, the best soft-regularization technique found average absolute tumor/inclusion errors of 0.015 S m −1 for the cylindrical test and 0.055 S m −1 and 0.080 S m −1 for the breast-shaped tank for 1.8 cm and 2.5 cm inclusions, respectively. The standard approaches were statistically unable to distinguish the tumor from the mammary gland tissue. An analysis of false tumors (benign suspicious lesions) provides extra insight into the potential and challenges EIT has for providing clinically relevant information. Significance . The ability to obtain accurate conductivity values of a suspicious lesion (>1.8 cm) detected from another modality (e.g. AWB-US) could significantly reduce false positives and result in a clinically important technology.

28 January 2019 in Journal of Robotic Surgery
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Journal Article
Closed access
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KSKevin Shee
Kevin Shee
KKKevin Koo
Kevin Koo
XWXiaotian Wu
Xiaotian Wu
FGFady M. Ghali
Fady M. Ghali
RHRyan J. Halter
Ryan J. Halter
EHElias S. Hyams
Elias S. Hyams

22 July 2016 in Otolaryngology–Head and Neck Surgery
Verified
Journal Article
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JPJoseph A. Paydarfar
Joseph A. Paydarfar
XWXiaotian Wu
Xiaotian Wu
RHRyan J. Halter
Ryan J. Halter

24 November 2021 in Biomolecules
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Journal Article
Open access
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XWXiaotian Wu
Xiaotian Wu
AUAmy Ulumben
Amy Ulumben
SLSteven Long
Steven Long
WKWataru Katagiri
Wataru Katagiri
MWMoses Q. Wilks
Moses Q. Wilks
RZRaiyan T. Zaman
Raiyan T. Zaman
Successful imaging of atherosclerosis, one of the leading global causes of death, is crucial for diagnosis and intervention. Near-infrared fluorescence (NIRF) imaging has been widely adopted along with multimodal/hybrid imaging systems for plaque detection. We evaluate two macrophage-targeting fluorescent tracers for NIRF imaging (TLR4-ZW800-1C and Feraheme-Alexa Fluor 750) in an atherosclerotic murine cohort, where the left carotid artery (LCA) is ligated to cause stenosis, and the right carotid artery (RCA) is used as a control. Imaging performed on dissected tissues revealed that both tracers had high uptake in the diseased vessel compared to the control, which was readily visible even at short exposure times. In addition, ZW800-1C’s renal clearance ability and Feraheme’s FDA approval puts these two tracers in line with other NIRF tracers such as ICG. Continued investigation with these tracers using intravascular NIRF imaging and larger animal models is warranted for clinical translation.

16 December 2018 in Head & Neck
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Journal Article
Closed access
PDF file
JPJoseph A. Paydarfar
Joseph A. Paydarfar
XWXiaotian Wu
Xiaotian Wu
RHRyan J. Halter
Ryan J. Halter

1 May 2018 in Physiological Measurement
Verified
Journal Article
Closed access
PDF file
EMEthan Murphy
Ethan Murphy
XWXiaotian Wu
Xiaotian Wu
RHRyan J Halter
Ryan J Halter
Objective : Prostate cancer is a significant problem affecting 1 in 7 men. Unfortunately, the diagnostic gold-standard of ultrasound-guided biopsy misses 10%–30% of all cancers. The objective of this study was to develop an electrical impedance tomography (EIT) approach that has the potential to image the entire prostate using multiple impedance measurements recorded between electrodes integrated onto an end-fired transrectal ultrasound (TRUS) device and a biopsy probe (BP). Approach : Simulations and sensitivity analyses were used to investigate the best combination of electrodes, and measured tank experiments were used to evaluate a fused-data transrectal EIT (fd-TREIT) and BP approach. Main results : Simulations and sensitivity analysis revealed that (1) TREIT measurements are not sufficiently sensitive to image the whole prostate, (2) the combination of TREIT + BP measurements increases the sensitive region of TREIT-only measurements by 12×, and (3) the fusion of multiple TREIT + BP measurements collected during a routine or customized 12-core biopsy procedure can cover up to 76.1% or 94.1% of a nominal 50 cm 3 prostate, respectively. Three measured tank experiments of the fd-TREIT + BP approach successfully and accurately recovered the positions of 2–3 metal or plastic inclusions. Significance : The measured tank experiments represent important steps in the development of an algorithm that can combine EIT from multiple locations and from multiple probes—data that could be collected during a routine TRUS-guided 12-core biopsy. Overall, this result is a step towards a clinically deployable impedance imaging approach to scanning the entire prostate, which could significantly help to improve prostate cancer diagnosis.