Anastasia Ostrowski

Localization of Transcranial Targets for Photoacoustic-Guided Endonasal Surgeries.

Neurosurgeries to remove pituitary tumors using the endonasal, transsphenoidal approach often incur the risk of patient death caused by injury to the carotid arteries hidden by surrounding sphenoid bone. To avoid this risk, we propose intraoperative photoacoustic vessel visualization with an optical fiber attached to the surgical tool and an external ultrasound transducer placed on the temple. Vessel detection accuracy is limited by acoustic propagation properties, which were investigated with k-Wave simulations. In a two-layer model of temporal bone (3200 m/s sound speed, 1-4 mm thickness) and surrounding tissues, the localization error was ≤2 mm in the tranducers axial dimension, while temporal bone curvature further degraded target localization. Phantom experiments revealed that multiple image targets (e.g. sphenoid bone and vessels) can be visualized, particularly with coherence-based beamforming, to determine tool-to-vessel proximity despite expected localization errors. In addition, the potential flexibility of the fiber position relative to the transducer and vessel was elucidated.

Feasibility of transcranial photoacoustic imaging for interventional guidance of endonasal surgeries

Endonasal surgeries to remove pituitary tumors incur the deadly risk of carotid artery injury due to limitations with real-time visualization of blood vessels surrounded by bone. We propose to use photoacoustic imaging to overcome current limitations. Blood vessels and surrounding bone would be illuminated by an optical fiber attached to the endonasal drill, while a transducer placed on the pterional region outside of the skull acquires images. To investigate feasibility, a plastisol phantom embedded with a spherical metal target was submerged in a water tank. The target was aligned with a 1-mm optical fiber coupled to a 1064nm Nd:YAG laser. An Ultrasonix L14-5W/60 linear transducer, placed approximately 1 cm above the phantom, acquired photoacoustic and ultrasound images of the target in the presence and absence of 2- and 4-mm-thick human adult cadaveric skull specimens. Though visualized at 18 mm depth when no bone was present, the target was not detectable in ultrasound images when the 4-mm thick skull specimen was placed between the transducer and phantom. In contrast, the target was visible in photoacoustic images at depths of 17-18 mm with and without the skull specimen. To mimic a clinical scenario where cranial bone in the nasal cavity reduces optical transmission prior to drill penetration, the 2-mm-thick specimen was placed between the phantom and optical fiber, while the 4-mm specimen remained between the phantom and transducer. In this case, the target was present at depths of 15-17 mm for energies ranging 9-18 mJ. With conventional delay-and-sum beamforming, the photoacoustic signal-tonoise ratios measured 15-18 dB and the contrast measured 5-13 dB. A short-lag spatial coherence beamformer was applied to increase signal contrast by 11-27 dB with similar values for SNR at most laser energies. Results are generally promising for photoacoustic-guided endonasal surgeries.

Quantifying bone thickness, light transmission, and contrast interrelationships in transcranial photoacoustic imaging

We previously introduced photoacoustic imaging to detect blood vessels surrounded by bone and thereby eliminate the deadly risk of carotid artery injury during endonasal, transsphenoidal surgeries. Light would be transmitted through an optical fiber attached to the surgical drill, while a transcranial probe placed on the temporal region of the skull receives photoacoustic signals. This work quantifies changes in photoacoustic image contrast as the sphenoid bone is drilled. Frontal bone from a human adult cadaver skull was cut into seven 3 cm x 3 cm chips and sanded to thicknesses ranging 1-4 mm. For 700-940 nm wavelengths, the average optical transmission through these specimens increased from 19% to 44% as bone thickness decreased, with measurements agreeing with Monte Carlo simulations within 5%. These skull specimens were individually placed in the optical pathway of a 3.5 mm diameter, cylindrical, vessel-mimicking photoacoustic target, as the laser wavelength was varied between 700-940 nm. The mean optical insertion loss and photoacoustic image contrast loss due to the bone specimens were 56-80% and 46-79%, respectively, with the majority of change observed when the bone was ≤2 mm thick. The decrease in contrast is directly proportional to insertion loss over this thickness range by factors of 0.8-1.1 when multiple wavelengths are considered. Results suggest that this proportional relationship may be used to determine the amount of bone that remains to be drilled when the thickness is 2 mm or less.

Quantitative models of feline lumbosacral dorsal root ganglia neuronal cell density

BACKGROUND Dorsal root ganglia (DRG) are spinal root components that contain the cell bodies of converging primary sensory neurons. DRG are becoming a therapeutic target for electrical neural interfaces. Our purpose was to establish methods for quantifying the non-random nature and distribution of neuronal cell bodies within DRG. NEW METHOD We identified neuronal cell body locations in 26 feline lumbosacral DRG cross-section histological images and used computational tools to quantify spatial trends. We first analyzed spatial randomness using the nearest-neighbor distance method. Next we overlaid a 6×6 grid, modeling neuronal cellular density in each grid square and comparing regions statistically. Finally we transformed DRG onto a polar map and calculated neuronal cellular density in annular sectors. We used a recursive partition model to determine regions of high and low density, and validated the model statistically. RESULTS We found that the arrangement of neuronal cell bodies at the widest point of DRG is distinctly non-random with concentration in particular regions. The grid model suggested a radial trend in density, with increasing density toward the outside of the DRG. The polar transformation model showed that the highest neuronal cellular density is in the outer 23.9% radially and the dorsal ±61.4° angularly. COMPARISON WITH EXISTING METHODS To our knowledge, DRG neuronal cell distribution has not been previously quantified. CONCLUSIONS These results confirm and expand quantitatively on the existing understanding of DRG anatomy. Our methods can be useful for analyzing the distribution of cellular components of other neural structures or expanding to three-dimensional models.

Idea generation in biomedical engineering courses using Design Heuristics

ABSTRACT With increasing demand for improved medical equipment and healthcare, next-generation biomedical engineers need strong design skills. Equipping biomedical engineering students with tools for idea generation and development can increase student design success. Design Heuristics are an ideation tool developed through empirical studies of product designs. While identified in the mechanical engineering space, Design Heuristics may be applicable in biomedical engineering design. In our study, we implemented a Design Heuristics session during upper-level undergraduate and first-year graduate biomedical engineering design courses. We examined the applicability of Design Heuristics within individual and team concept generation contexts. The findings demonstrated that biomedical engineering students were able to use Design Heuristics to generate multiple concepts, and that initial concepts produced using Design Heuristics were carried over into final team design. The results support the applicability of Design Heuristics to student idea generation in biomedical engineering design.