Adaptive SPECT

Barrett, Harrison H.; Furenlid, Lars R.; Freed, Melanie; Hesterman, Jacob; Kupinski, Meredith; Clarkson, Eric; Whitaker, Meredith Kathryn

doi:10.1109/tmi.2007.913241

Cited by 91 publications

(92 citation statements)

References 55 publications

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“…Modality 1 and 2 may, in fact, correspond to different configurations of a single imaging system. An example of this type of system is an adaptive SPECT system developed by Freed et al [7], [8]. As another example, many modern clinical X-ray systems adaptively adjust tube voltage and current based on an initial low-dose scan.…”

Section: Examples and Block Diagramsmentioning

confidence: 99%

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A Task-Based Approach to Adaptive and Multimodality Imaging

et al. 2008

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Multimodality imaging is becoming increasingly important in medical imaging. Since the motivation for combining multiple imaging modalities is generally to improve diagnostic or prognostic accuracy, the benefits of multimodality imaging cannot be assessed through the display of example images. Instead, we must use objective, task-based measures of image quality to draw valid conclusions about system performance. In this paper, we will present a general framework for utilizing objective, taskbased measures of image quality in assessing multimodality and adaptive imaging systems. We introduce a classification scheme for multimodality and adaptive imaging systems and provide a mathematical description of the imaging chain along with block diagrams to provide a visual illustration. We show that the task-based methodology developed for evaluating single-modality imaging can be applied, with minor modifications, to multimodality and adaptive imaging. We discuss strategies for practical implementing of task-based methods to assess and optimize multimodality imaging systems.

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Section: Examples and Block Diagramsmentioning

confidence: 99%

“…In adaptive imaging [7], [8], multiple images are taken with a single imaging system that can change its configuration during acquisition in response to acquired data. We show below that the mathematical descriptions of multimodality and adaptive imaging systems are similar.…”

Section: Introductionmentioning

confidence: 99%

A Task-Based Approach to Adaptive and Multimodality Imaging

et al. 2008

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“…We have derived expressions for the ideal linear observers for estimation and classification tasks in adaptive systems, and have suggested a wide variety of possible adaptation rules [1,2]. In essence, the image from the first modality is used to narrow down the ensemble of subjects from which the particular subject could have been drawn, and the second modality is then optimized for this new ensemble, which we refer to as the posterior ensemble because it is constructed after acquiring the data from the first modality.…”

Section: Adaptive Multimodality Imagingmentioning

confidence: 99%

“…In recent work, we have investigated the concept of adapting biomedical-imager configuration to optimize task-based image quality for a particular imaging subject rather than a population of subjects [1][2][3]. This involves acquiring and analyzing preliminary scout data and making automated decisions for setting the adjustable parameters in the system, which for SPECT may include choice of apertures, selection of magnification and field of view as determined by radial camera and aperture locations, and determination of overall acquisition trajectory [1].…”

Section: Introductionmentioning

confidence: 99%

“…This involves acquiring and analyzing preliminary scout data and making automated decisions for setting the adjustable parameters in the system, which for SPECT may include choice of apertures, selection of magnification and field of view as determined by radial camera and aperture locations, and determination of overall acquisition trajectory [1].…”

Section: Introductionmentioning

confidence: 99%

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Adaptive small-animal SPECT/CT

Furenlid

Moore

Freed

et al. 2008

2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro

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We are exploring the concept of adaptive multimodality imaging, a form of non-linear optimization where the imaging configuration is automatically adjusted in response to the object. Preliminary studies suggest that substantial improvement in objective, task-based measures of image quality can result. We describe here our work to add motorized adjustment capabilities and a matching CT to our existing FastSPECT II system to form an adaptive small-animal SPECT/CT.

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Method to measure the size of a radiographic field larger than a detector by imaging fluorescence X‐rays with a slit camera

Badal

2021

J Applied Clin Med Phys

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Purpose X‐ray imaging devices contain a collimator system that defines a rectangular irradiation field on the detector plane. The size and position of the X‐ray field, and its congruence with the corresponding light field, must be regularly tested for quality control. We propose a new method to estimate how far the x‐ray field extends beyond the detector which does not require the use of external detectors. Methods A metallic foil is inserted perpendicularly between the source and the detector. A slit camera, a linear extension of a pinhole camera, is used to project onto the detector the fluorescence X‐rays emitted by the irradiated foil. The location where the fluorescence signal inside the camera vanishes is used to extrapolate the location of the field boundary. Monte Carlo simulations were performed to determine the optimal composition and thickness of the foil. A prototype camera with a 1‐mm‐wide slit was built and tested in a clinical mammography and digital breast tomosynthesis (DBT) system. Results The simulations estimated that a foil made of 25 µm of Molybdenum provided the maximum signal inside the camera for a 39 kVp beam. The boundary of the X‐ray fields in mammography and DBT views were experimentally measured. With the camera along the chest wall side, the measured field in multiple DBT views had a variability of only 0.4 ± 0.1 mm compared to mammography. A difference in the measured boundary position of 2.4 and –1.0 mm was observed when comparing to measurements with a fluorescent ruler and self‐developing film. Conclusion The introduced technique provides a practical alternative method to detect the boundary of an X‐ray field. The method can be combined with other testing methods to assess the congruence of the X‐rays and light fields, and to determine if the X‐ray field extends beyond the detector more than permitted.

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Adaptive SPECT

Cited by 91 publications

References 55 publications

A Task-Based Approach to Adaptive and Multimodality Imaging

A Task-Based Approach to Adaptive and Multimodality Imaging

Adaptive small-animal SPECT/CT

Method to measure the size of a radiographic field larger than a detector by imaging fluorescence X‐rays with a slit camera

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