Detector Design for Surgical Guidance

A new silicon detector was designed by the CDF collaboration for Run IIb of the Tevatron at Fermilab. The main building block of the new detector is a "supermodule" or "stave", an innovative, compact and lightweight structure of several readout hybrids and sensors with a bus cable running directly underneath the sensors to carry power, data, and control signals to and from the hybrids. The hybrids use a new, radiation-hard readout chip, the SVX4 chip. A number of SVX4 chips, readout hybrids, sensors, and supermodules were produced and tested in preproduction. The performance (including radiation-hardness) and yield of these components met or exceeded all design goals. The detector design goals, solutions, and performance results are presented.

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A micro vertex detector design for collider geometries based on the use of scintillating optical fibres

Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment ◽

10.1016/0168-9002(85)91060-5 ◽

1985 ◽

Vol 237 (3) ◽

pp. 505-511 ◽

Cited By ~ 7

Author(s):

M. Atkinson ◽

D. Crennell ◽

C.M. Fisher ◽

P. Hughes ◽

N. Kurtz

Keyword(s):

Optical Fibres ◽

Vertex Detector ◽

Detector Design

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Augmented reality visualisation for orthopaedic surgical guidance with pre‐ and intra‐operative multimodal image data fusion

Healthcare Technology Letters ◽

10.1049/htl.2018.5061 ◽

2018 ◽

Vol 5 (5) ◽

pp. 189-193 ◽

Cited By ~ 11

Author(s):

Houssam El‐Hariri ◽

Prashant Pandey ◽

Antony J. Hodgson ◽

Rafeef Garbi

Keyword(s):

Augmented Reality ◽

Data Fusion ◽

Image Data ◽

Surgical Guidance

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Point-of-care Pathology with Miniature Microscopes for Cancer Detection and Surgical Guidance

Biomedical Optics 2016 ◽

10.1364/cancer.2016.jth3a.1 ◽

2016 ◽

Author(s):

Jonathan Teng-Chieh Liu

Keyword(s):

Cancer Detection ◽

Point Of Care ◽

Surgical Guidance

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On-line Flow Cytometry for Real-time Surgical Guidance

Neurosurgery ◽

10.1227/01.neu.0000134470.13971.0c ◽

2004 ◽

Vol 55 (3) ◽

pp. 551-561 ◽

Cited By ~ 7

Author(s):

Ali H. Mesiwala ◽

Louis D. Scampavia ◽

Peter S. Rabinovitch ◽

Jaromir Ruzicka ◽

Robert C. Rostomily

Keyword(s):

Decision Making ◽

Real Time ◽

Dna Content ◽

Time Frame ◽

Tissue Samples ◽

Surgical Decision ◽

Surgical Guidance ◽

On Line ◽

Surgical Decision Making ◽

Line Analysis

Abstract OBJECTIVE: This study tests the feasibility of using on-line analysis of tissue during surgical resection of brain tumors to provide biologically relevant information in a clinically relevant time frame to augment surgical decision making. For the purposes of establishing feasibility, we used measurement of deoxyribonucleic acid (DNA) content as the end point for analysis. METHODS: We investigated the feasibility of interfacing an ultrasonic aspiration (USA) system with a flow cytometer (FC) capable of analyzing DNA content (DNA-FC). The sampling system design, tissue preparation requirements, and time requirements for each step of the on-line analysis system were determined using fresh beef brain tissue samples. We also compared DNA-FC measurements in 28 nonneoplastic human brain samples with DNA-FC measurements in specimens of 11 glioma patients obtained from central tumor regions and surgical margins after macroscopically gross total tumor removal to estimate the potential for analysis of a biological marker to influence surgical decision making. RESULTS: With minimal modification, modern FC systems are fully capable of real-time, intraoperative analysis of USA specimens. The total time required for on-line analysis of USA specimens varies between 36 and 63 seconds; this time includes delivery from the tip of the USA to complete analysis of the specimen. Approximately 60% of this time is required for equilibration of the DNA stain. When compared with values for nonneoplastic human brain samples, 50% of samples (10 of 20) from macroscopically normal glioma surgical margins contained DNA-FC abnormalities potentially indicating residual tumor. CONCLUSION: With an interface of existing technologies, DNA content of brain tissue samples can be analyzed in a meaningful time frame that has the potential to provide real-time information for surgical guidance. The identification of DNA content abnormalities in macroscopically normal tumor resection margins by DNA-FC supports the practical potential for on-line analysis of a tumor marker to guide surgical resections. The development of such a device would provide neurosurgeons with an objective method for intraoperative analysis of a clinically relevant biological parameter that can be measured in real time.

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