Toward a Flexible and Portable CT Scanner

Orchard, Jeff; Yeow, John T. W.

doi:10.1007/978-3-540-85990-1_23

Cited by 3 publications

(1 citation statement)

References 19 publications

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“…However, due to the ever increasing number of CT scans performed on patients, there is growing concern about the effects of elevated radiation exposure [3] and, consequently, increased interest in reducing the intensity and power of the x-rays [13]. One approach is using carbon nanotube-based x-ray emitters which use just a few milliwatts of power [21,32].…”

Section: Introductionmentioning

confidence: 99%

Medics

Dasika

Sethia

Robby

et al. 2010

Proceedings of the 19th International Conference on Parallel Architectures and Compilation Techniques

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Medical imaging provides physicians with the ability to generate 3D images of the human body in order to detect and diagnose a wide variety of ailments. Making medical imaging portable and more accessible provides a unique set of challenges. In order to increase portability, the power consumed in image acquisitioncurrently the most power-consuming activity in an imaging device -must be dramatically reduced. This can only be done, however, by using complex image reconstruction algorithms to correct artifacts introduced by low-power acquisition, resulting in image processing becoming the dominant power-consuming task. Current solutions use combinations of digital signal processors, generalpurpose processors and, more recently, general-purpose graphics processing units for medical image processing. These solutions fall short for various reasons including high power consumption and an inability to execute the next generation of image reconstruction algorithms. This paper presents the MEDICS architecture -a domain-specific multicore architecture designed specifically for medical imaging applications, but with sufficient generality to make it programmable. The goal is to achieve 100 GFLOPs of performance while consuming orders of magnitude less power than the existing solutions. MEDICS has a throughput of 128 GFLOPs while consuming as little as 1.6W of power on advanced CT reconstruction applications. This represents up to a 20X increase in computation efficiency over current designs.

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Section: Introductionmentioning

confidence: 99%

Medics

Dasika

Sethia

Robby

et al. 2010

Proceedings of the 19th International Conference on Parallel Architectures and Compilation Techniques

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Mobile ultrasound with DICOM and cloud connectivity

Teng

Green

Johnson

et al. 2012

Proceedings of 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics

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The market for cloud-based mobile application is growing rapidly, according to recent industry research.Healthcare services are positively affected by the new technologies and availability of many e-health applications.Diagnostic medical imaging is one area where emerging systems are being developed to leverage the mobile-cloud infrastructure to increase the accessibility and lower the cost of these critical services. A framework was developed for mobile medical imaging devices and applications to securely communicate with a cloud-based image storage and management service using standard DICOM protocol. Prototype of a mobile ultrasound application running a tablet PC with a USB transducer is also developed to validate and evaluate the design.

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Plausibility of Image Reconstruction Using a Proposed Flexible and Portable CT Scanner

Orchard¹

2012

TOMIJ

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Abstarct:The very hot and power-hungry x-ray filaments in today's computed tomography (CT) scanners constrain their design to be big and stationary. What if we built a CT scanner that could be deployed at the scene of a car accident to acquire tomographic images before moving the victim? Recent developments in nanotechnology have shown that carbon nanotubes can produce x-rays at room temperature, and with relatively low power needs. We propose a design for a portable and flexible CT scanner made up of an addressable array of tiny x-ray emitters and detectors. In this paper, we outline a basic design, propose a strategy for reconstruction, and demonstrate the feasibility of reconstruction using experiments on a software simulation of the flexible scanner. These simulations show that reconstruction quality is stable over a wide range of scanner geometries, while progressively larger errors in the scanner geometry induce progressively larger errors. We also raise a number of issues that still need to be overcome to build such a scanner.

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Toward a Flexible and Portable CT Scanner

Cited by 3 publications

References 19 publications

Medics

Medics

Mobile ultrasound with DICOM and cloud connectivity

Plausibility of Image Reconstruction Using a Proposed Flexible and Portable CT Scanner

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