TU-F-BRE-01: A High Resolution Micro Fiber Scintillator Detector Optimized for SRS and SBRT in Vivo Real Time Treatment Verification

2014 ◽  
Vol 41 (6Part27) ◽  
pp. 468-468
Author(s):  
E Izaguirre ◽  
S Price ◽  
T Knewtson ◽  
S Loyalka ◽  
D Rangaraj
Keyword(s):  
High Resolution ◽  
Real Time ◽  
Treatment Verification ◽  
Time Treatment ◽  
Scintillator Detector

ITVT-10. Using functional Ultrasound (fUS) for real-time, depth-resolved functional and vascular delineation of brain tumors with micrometer-millisecond precision

2021 ◽  
Vol 23 (Supplement_6) ◽  
pp. vi230-vi230
Author(s):  
Sadaf Soloukey ◽  
Luuk Verhoef ◽  
Frits Mastik ◽  
Bastian Generowicz ◽  
Eelke Bos ◽  
...  
Keyword(s):  
High Resolution ◽  
Real Time ◽  
Cerebral Blood Volume ◽  
Imaging Technique ◽  
Power Doppler ◽  
Ease Of Use ◽  
Frame Rate ◽  
Neurosurgical Procedures ◽  
Vascular Morphology

Abstract BACKGROUND Neurosurgical practice still relies heavily on pre-operatively acquired images to guide tumor resections, a practice which comes with inherent pitfalls such as registration inaccuracy due to brain shift, and lack of real-time functional or morphological feedback. Here we describe functional Ultrasound (fUS) as a new high-resolution, depth-resolved, MRI/CT-registered imaging technique able to detect functional regions and vascular morphology during awake and anesthesized tumor resections. MATERIALS AND METHODS fUS relies on high-frame-rate (HFR) ultrasound, making the technique sensitive to very small motions caused by vascular dynamics (µDoppler) and allowing measurements of changes in cerebral blood volume (CBV) with micrometer-millisecond precision. This opens up the possibility to 1) detect functional response, as CBV-changes reflect changes in metabolism of activated neurons through neurovascular coupling, and 2) visualize in-vivo vascular morphology of pathological and healthy tissue with high resolution at unprecedented depths. During a range of anesthetized and awake neurosurgical procedures we acquired vascular and functional images of brain and spinal cord using conventional ultrasound probes connected to a research acquisition system. Building on Brainlab’s Intra-Operative Navigation modules, we co-registered our intra-operative Power Doppler Images (PDIs) to patient-registered MRI/CT-data in real-time. RESULTS During meningioma and glioma resections, our co-registered PDIs revealed fUS’ ability to visualize the tumor’s feeding vessels and vascular borders in real-time, with a level of detail unprecedented by conventional MRI-sequences. During awake resections, fUS was able to detect distinct, ESM-confirmed functional areas as activated during conventional motor and language tasks. In all cases, images were acquired with micrometer-millisecond (300 µm, 1.5–2.0 ms) precision at imaging depths exceeding 5 cm. CONCLUSION fUS is a new real-time, high-resolution and depth-resolved imaging technique, combining favorable imaging specifications with characteristics such as mobility and ease of use which are uniquely beneficial for a potential image-guided neurosurgical tool.

scholarly journals Camera selection for real-time in vivo radiation treatment verification systems using Cherenkov imaging

2015 ◽  
Vol 42 (2) ◽  
pp. 994-1004 ◽  
Author(s):  
Jacqueline M. Andreozzi ◽  
Rongxiao Zhang ◽  
Adam K. Glaser ◽  
Lesley A. Jarvis ◽  
Brian W. Pogue ◽  
...  
Keyword(s):  
Real Time ◽  
Radiation Treatment ◽  
Treatment Verification ◽  
Camera Selection ◽  
Selection For ◽  
Verification Systems ◽  
Cherenkov Imaging

scholarly journals 3SDA-04 Real-time high-resolution cardiac imaging in vivo(3SDA Biophysics toward In Vivo work,Symposium)

2013 ◽  
Vol 53 (supplement1-2) ◽  
pp. S104
Author(s):  
Fuyu Kobirumaki-Shimozawa ◽  
Kotaro Oyama ◽  
Seine A. Shintani ◽  
Erisa Hirokawa ◽  
Togo Shimozawa ◽  
...  
Keyword(s):  
High Resolution ◽  
Real Time ◽  
Cardiac Imaging

scholarly journals Protease activity sensors enable real-time treatment response monitoring in lymphangioleiomyomatosis

2021 ◽  
pp. 2100664
Author(s):  
Jesse D. Kirkpatrick ◽  
Ava P. Soleimany ◽  
Jaideep S. Dudani ◽  
Heng-Jia Liu ◽  
Hilaire C. Lam ◽  
...  
Keyword(s):  
Machine Learning ◽  
Treatment Response ◽  
Real Time ◽  
Cysteine Proteases ◽  
Response Monitoring ◽  
Preclinical Model ◽  
Real Time Monitoring ◽  
Lung Function Decline ◽  
Time Treatment

Biomarkers of disease progression and treatment response are urgently needed for patients with lymphangioleiomyomatosis (LAM). Activity-based nanosensors, an emerging biosensor class, detect dysregulated proteases in vivo and release a reporter to provide a urinary readout of disease. Because proteases are dysregulated in LAM and may directly contribute to lung function decline, activity-based nanosensors may enable quantitative, real-time monitoring of LAM progression and treatment response. We aimed to assess the diagnostic utility of activity-based nanosensors in a preclinical model of pulmonary LAM.Tsc2-null cells were injected intravenously into female nude mice to establish a mouse model of pulmonary LAM. A library of 14 activity-based nanosensors, designed to detect proteases across multiple catalytic classes, was administered into the lungs of LAM mice and healthy controls, urine was collected, and mass spectrometry was performed to measure nanosensor cleavage products. Mice were then treated with rapamycin and monitored with activity-based nanosensors. Machine learning was performed to distinguish diseased from healthy and treated from untreated mice.Multiple activity-based nanosensors [PP03 (cleaved by metallo, aspartic, and cysteine proteases), padj<0.0001; PP10 (cleaved by serine, aspartic, and cysteine proteases), padj=0.017)] were differentially cleaved in diseased and healthy lungs, enabling strong classification with a machine learning model (AUC=0.95 from healthy). Within two days after rapamycin initiation, we observed normalisation of PP03 and PP10 cleavage, and machine learning enabled accurate classification of treatment response (AUC=0.94 from untreated).Activity-based nanosensors enable noninvasive, real-time monitoring of disease burden and treatment response in a preclinical model of LAM.

MO-AB-BRA-03: Development of Novel Real Time in Vivo EPID Treatment Verification for Brachytherapy

2016 ◽  
Vol 43 (6Part28) ◽  
pp. 3691-3691 ◽  
Author(s):  
G Fonseca ◽  
M Podesta ◽  
B Reniers ◽  
F Verhaegen
Keyword(s):  
Real Time ◽  
Treatment Verification
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