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Biomedical Physics & Engineering Express

Resumen/Descripción – provisto por la editorial en inglés

A broad, inclusive, rapid review journal devoted to publishing new research in all areas of biomedical engineering, biophysics and medical physics, with a special emphasis on interdisciplinary work between these fields.

Palabras clave – provistas por la editorial

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Institución detectada	Período	Navegá	Descargá	Solicitá
No detectada	desde jun. 2015 / hasta dic. 2023	IOPScience

Información

Tipo de recurso:

revistas

ISSN electrónico

2057-1976

Editor responsable

IOP Publishing (IOP)

País de edición

Estados Unidos

Fecha de publicación

2015-

Cobertura temática

Ciencias físicas

Tabla de contenidos

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doi: 10.1088/2057-1976/ac11c0

High throughput software-based gradient tree boosting positioning for PET systems

Christian Wassermann; Florian Mueller; Thomas Dey; Janko Lambertus; David Schug; Volkmar Schulz; Julian Miller

<jats:title>Abstract</jats:title> <jats:p>The supervised machine learning technique Gradient Tree Boosting (GTB) has shown good accuracy for position estimation of gamma interaction in PET crystals for bench-top experiments while its computational requirements can easily be adjusted. Transitioning to preclinical and clinical applications requires near real-time processing in the scale of full PET systems. In this work, a high throughput GTB-based singles positioning C++ implementation is proposed and a series of optimizations are evaluated regarding their effect on the achievable processing throughput. Moreover, the crucial feature and parameter selection for GTB is investigated for the segmented detectors of the Hyperion II<jats:sup>D</jats:sup> PET insert with two main models and a range of GTB hyperparameters. The proposed framework achieves singles positioning throughputs of more than 9.5 GB/s for smaller models and of 240 MB/s for more complex models on a recent Intel Skylake server. Detailed throughput analysis reveals the key performance limiting factors, and an empirical throughput model is derived to guide the GTB model selection process and scanner design decisions. The throughput model allows for throughput estimations with a mean absolute error (MAE) of 175.78 MB/s.</jats:p>