BioEngage Symposium
Imaging Tools Delivering on the Promise of Precision Cancer Treatment
Poster Presentations
Morning Session
Matthew Frederick Bruce
Harmonic doppler imaging of kidney stones
Abstract: TBD.
Adam Glaser
Rapid pathology of fresh surgical specimens using an inverted scanning light sheet microscope
Abstract: For microscopic inspection of fresh surgical oncology specimens, pathologists must currently cut thick excised tissues into thin sections, a time-consuming and expensive practice. While various optical-sectioning microscopy methods have been proposed as an alternative means to physical tissue sectioning, they have typically suffered from a narrow depth of focus, making it logistically difficult to image the irregular surface of these fresh tissue specimens. Additional challenges include insufficient resolution, contrast, field of view, and/or imaging speed. To overcome these limitations, we have designed an inverted scanning light sheet microscope with an extended depth of focus (to image irregular tissue surfaces) that is able to provide rapid (<10 minutes), wide-area (up to 10x10 cm), high-resolution (1-2 microns), high contrast imaging of fresh tissues. The system design, characterization, and example feasibility results from human prostatectomy specimens will be presented.
Efren Lee
Statistical distributions of ultra-low dose CT sinograms in the data processing stream
Abstract: Low dose CT imaging is typically constrained to be diagnostic. However, there are applications for even lower-dose CT imaging, including image registration across multi-frame CT images and attenuation correction for PET/CT imaging. We define this as the ultra-low-dose (ULD) CT regime where the exposure level is a factor of 10 lower than current low-dose CT technique levels. In the ULD regime it is possible to use statistically-principled image reconstruction methods that make full use of the raw data (sinogram) information. However, clinical CT scanners have a data processing stream that uses the standard approach of a negative logarithm transformation in as well as pre-log and post-log corrections (most importantly a pre-log non-positivity correction). Our goal is to understand the statistical distribution of ULD CT data through the different data processing steps to understand when analytic or iterative image reconstruction methods may be effective in producing images that are useful for image registration or attenuation correction in PET/CT imaging. We used calibrated simulation studies and the Kolmogorov–Smirnov statistic to evaluate the normality of processed sinogram data. In summary, our results indicate that there are three general regimes: (1) Diagnostic CT, where post-log data are well modeled by normal distribution. (2) Low-dose CT, where normal distribution remains a reasonable approximation and statistically-principled (post-log) methods that assume a normal distribution have an advantage. (3) An ULD regime that is photon-starved and the normal approximation is no longer effective. This leads to fundamental limits in the estimation of ULD CT data when using a standard data processing stream.
Mengyuan Liu
Computational methods for automated analysis of human brain anatomy, function and connections
Abstract: In our group, we develop computational methods to study early human brain development using different imaging modalities. We acquire structual and functional MRI images of fetal and premature neonatal human brain and apply computer vision and machine learning techniques to obtain motion/bias corrected high-resolution images. With structural MRI, we built a spatio-temporal atlas to model the brain development during the third trimester. With functional MRI and DTI, we also learn the development of functional connections. With these tools, we aim to use medical images of fetal/neonatal human brain to predict neuro-developmental outcomes of newborns.
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Jingjiang Xu
Spectral-domain optical coherence tomography- based angiography for scalable wide-field vascular imaging
Abstract: We report a high-speed (147kHz), high sensitive (~105dB), long imaging depth (7mm) spectral-domain OCT-based angiography, which shows scalable ultra-wide field of view (up to 750mm2) with flexible resolution for functional vascular imaging.
Yu Wang
Raman-encoded molecular imaging (REMI) for guiding breast cancer lumpectomy
Abstract: There is a need for intraoperative imaging technologies to guide breast cancer lumpectomy surgeries and to reduce the high rates of re-excision for patients (20%-60%) in which residual tumor is found at the surgical margins during post-operative pathology analyses. The molecular imaging of tumor biomarkers is potentially a highly specific method to identify residual tumors at the surgical margins. However, since the molecular phenotype of breast tumors vary greatly between patients as well as within a single tumor mass, multiplexed molecular imaging is necessary to ensure a high level of sensitivity of tumor detection. We are developing an intraoperative molecular imaging technique to enable surgeons to rapidly visualize residual tumors at the surgical margins of freshly resected breast tumors. In particular, this work employs topically applied surface-enhanced Raman scattering (SERS) nanoparticles (NPs), in conjunction with ratiometric imaging of targeted vs. untargeted NPs, to enable the sensitive and multiplexed detection of a large number of cell-surface biomarkers of breast cancer. By developing high-affinity targeted SERS NPs, a sensitive raster-scanned spectral-imaging device, and an optimized topical-delivery protocol and device, we have recently demonstrated the simultaneous quantification of four biomarkers at the surgical margins of freshly resected breast tumors in 10 min. Feasibility studies are being performed for the clinical translation of this Raman-encoded molecular imaging (REMI) technique to guide breast cancer lumpectomy procedures.
Kristen Wangerin
A virtual clinical trial comparing static versus dynamic PET imaging to measure response to breast cancer therapy
Abstract: Background: Positron emission tomography (PET) imaging is used to monitor the response of cancer to therapy and to assess the effectiveness of therapy as early as possible. Both standardized uptake values (SUVs) and estimates of the kinetic rate parameters have been used in treatment evaluation. Objective: Our goal was to determine which quantitative imaging biomarker, SUV from a static scan or kinetic parameters from a dynamic scan, is better at determining tumor response to therapy as a function of model parameters. Methods: We conducted a virtual clinical trial that used a combination of measured and simulated data to account for all known sources of PET imaging variability in order to characterize static SUV measurements and kinetic parameter estimates. We generated parameter estimate histograms before and after therapy and corresponding receiver operating characteristic (ROC) curves. Results: For high uptake tumors, the simpler static SUV measurement effectively distinguished response to therapy. For lower uptake tumors, kinetic parameters better distinguished response. Therefore, SUV from a static PET scan determined response to therapy for higher uptake tumors, while kinetic parameters enabled earlier assessment of response for lower uptake tumors..
QinQin Zhang
OCT-based angiography of choroidal neovascularization by removing projection artifacts
Abstract: To accurately visualize choroidal neovascularization (CNV) and its treatment response, a projection artifact removal (PAR) algorithm was performed on the outer retinal avascular slab (ORAS) of OCT-based angiography (OCTA) images to remove projection artifacts from the top retinal circulations. Optical microangiography (OMAG) as one of the leading techniques of OCTA utilizing the complex OCT signal with a high sensitivity to detect the capillaries was employed in the study. The application of the PAR algorithm on OMAG angiograms can allow for more accurate quantitative evaluation of CNVs before and after treatment and provide comparable or even better images to the current gold standard FA/ICGA. Thus this algorithm may be a useful tool in interpreting images of CNVs that can complement current standard imaging modalities such as FA/ICGA.
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David Li
Photoacoustic activation of nanoemulsions and their use as theranostic agents
Abstract: Photoacoustic imaging is a hybrid ultrasound imaging modality that can be used in conjunction with traditional ultrasound imaging. One of the major drawbacks of photoacoustic imaging is the limited imaging depth due to light scattering. An efficient light absorbing emulsion based nanoemulsion is presented to greatly improve the signal to noise ratio of photoacoustic imaging. The emulsions feature a low boiling point liquid perfluorocarbon oil core (on the order of 200 nm in diameter) coated by a layer of polypyrrole or gold nanoparticles, which have a high optical absorption efficiency. Heating of the oil core due to optical absorption causes the emulsion to reversibly vaporize and recondense back into the liquid phase. The emulsion based photoacoustic contrast agents not only provide a stronger photoacoustic response than nanoparticle or dye based photoacoustic agents, benchtops experiments have shown that the reversible vaporization can be also be used for therapy to mechanically break down blood clots and restore blood flow.
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Afternoon Session
LinPeng Wei and ChengBo Yin
A handheld optical-sectioning microscope for cancer detection and surgical guidance.
Abstract: There is a need for miniature optical-sectioning microscopes to enable in vivo interrogation of tissues as a real-time and noninvasive alternative to gold-standard histopathology. In this study, we developed a handheld line-scanned (LS) dual-axis confocal (DAC) microscope for the early detection of cancer as well as for guiding tumor-resection procedures. The DAC architecture has demonstrated an advantage over the conventional single-axis confocal configuration for reducing background noise. The use of line scanning enables fast frame rates, which mitigates motion artifacts of a hand-held device during clinical use. This handheld microscope has been validated with both ex vivo imaging in tissues and in vivo imaging in animal models, and will be tested in human patients for oral-cancer detection and for guiding brain-tumor resections.
Jin Liu
Motion Detection and Correction for Carotid Artery Wall Imaging using Structured Light
Abstract: Carotid artery wall MRI is often affected by complex neck motion. We aimed to separate different motion components and correct them for better carotid artery wall delineation using structured light system. A healthy volunteer was scanned for 2D carotid MRI. It was demonstrated that voluntary abrupt motion, unconscious bulk motion and involuntary respiration can all be detected effectively. Both abrupt motion and bulk neck shift can be corrected for better vessel wall delineation, but the duration of abrupt motion can affect motion correction effectiveness. Bulk neck shift distance optimization by maximizing sharpness can future reduce motion artifact.
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Geng Zeng
A simulation study of sensitivity and specificity of the PET/X scanner
Abstract: This is a brief introduction to the PET/X scanner that is being developed in our lab and my simulation study on its performance. The scanner is intended to evaluate the efficacy of clinical breast cancer treatments for confirmed patients.