Lesion detection and quantitation of positron emission mammography

Jinyi Qi; Ronald H. Huesman

Lesion detection and quantitation of positron emission mammography

Jinyi Qi, Ronald H. Huesman

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

A Positron Emission Mammography (PEM) scanner dedicated to breast imaging is being developed at our laboratory. We have developed a list mode likelihood reconstruction algorithm for this scanner. Here we theoretically study the lesion detection and quantitation. The lesion detectability is studied theoretically using computer observers. We found that for the zero-order quadratic prior, the region of interest observer can achieve the performance of the prewhitening observer with a properly selected smoothing parameter. We also study the lesion quantitation using the test statistic of the region of interest observer. The theoretical expressions for the bias, variance, and ensemble mean squared error of the quantitation are derived. Computer simulations show that the theoretical predictions are in good agreement with the Monte Carlo results for both lesion detection and quantitation.

Original language	English (US)
Title of host publication	IEEE Nuclear Science Symposium and Medical Imaging Conference
Pages	2248-2252
Number of pages	5
Volume	4
State	Published - 2002
Externally published	Yes
Event	2001 IEEE Nuclear Science Symposium Conference Record - San Diego, CA, United States Duration: Nov 4 2001 → Nov 10 2001

Other

Other	2001 IEEE Nuclear Science Symposium Conference Record
Country	United States
City	San Diego, CA
Period	11/4/01 → 11/10/01

ASJC Scopus subject areas

Computer Vision and Pattern Recognition
Industrial and Manufacturing Engineering

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Cite this

Qi, J., & Huesman, R. H. (2002). Lesion detection and quantitation of positron emission mammography. In IEEE Nuclear Science Symposium and Medical Imaging Conference (Vol. 4, pp. 2248-2252)

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abstract = "A Positron Emission Mammography (PEM) scanner dedicated to breast imaging is being developed at our laboratory. We have developed a list mode likelihood reconstruction algorithm for this scanner. Here we theoretically study the lesion detection and quantitation. The lesion detectability is studied theoretically using computer observers. We found that for the zero-order quadratic prior, the region of interest observer can achieve the performance of the prewhitening observer with a properly selected smoothing parameter. We also study the lesion quantitation using the test statistic of the region of interest observer. The theoretical expressions for the bias, variance, and ensemble mean squared error of the quantitation are derived. Computer simulations show that the theoretical predictions are in good agreement with the Monte Carlo results for both lesion detection and quantitation.",

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AB - A Positron Emission Mammography (PEM) scanner dedicated to breast imaging is being developed at our laboratory. We have developed a list mode likelihood reconstruction algorithm for this scanner. Here we theoretically study the lesion detection and quantitation. The lesion detectability is studied theoretically using computer observers. We found that for the zero-order quadratic prior, the region of interest observer can achieve the performance of the prewhitening observer with a properly selected smoothing parameter. We also study the lesion quantitation using the test statistic of the region of interest observer. The theoretical expressions for the bias, variance, and ensemble mean squared error of the quantitation are derived. Computer simulations show that the theoretical predictions are in good agreement with the Monte Carlo results for both lesion detection and quantitation.

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