List-mode maximum-likelihood reconstruction applied to positron emission mammography (PEM) with irregular sampling

Ronald H. Huesman, Gregory J. Klein, William W. Moses, Jinyi Qi, Bryan W. Reutter, Patrick R G Virador

Research output: Contribution to journalArticle

123 Citations (Scopus)

Abstract

We present a preliminary study of list-mode likelihood reconstruction of images for a rectangular positron emission tomography (PET) specifically designed to image the human breast. The prospective device consists of small arrays of scintillation crystals for which depth of interaction is estimated. Except in very rare instances, the number of annihilation events detected is expected to be far less than the number of distinguishable events. If one were to histogram the acquired data, most histogram bins would remain vacant. Therefore, it seems natural to investigate the efficacy of processing events one at a time rather than processing the data in histogram format. From a reconstruction perspective, the new tomograph presents a challenge in that the rectangular geometry leads to irregular radial and angular sampling, and the field of view extends completely to the detector faces. Simulations are presented that indicate that the proposed tomograph can detect 8-mm-diameter spherical tumors with a tumor-to-background tracer density ratio of 3:1 using realistic image acquisition parameters. Spherical tumors of 4-mm diameter are near the limit of detectability with the image acquisition parameters used. Expressions are presented to estimate the loss of image contrast due to Compton scattering.

Original languageEnglish (US)
Pages (from-to)532-537
Number of pages6
JournalIEEE Transactions on Medical Imaging
Volume19
Issue number5
DOIs
StatePublished - May 2000

Fingerprint

Mammography
Positrons
Maximum likelihood
Tumors
Image acquisition
Electrons
Sampling
Compton scattering
Neoplasms
Positron emission tomography
Computer-Assisted Image Processing
Bins
Scintillation
Processing
Positron-Emission Tomography
Breast
Detectors
Equipment and Supplies
Crystals
Geometry

ASJC Scopus subject areas

  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging
  • Radiological and Ultrasound Technology
  • Electrical and Electronic Engineering
  • Computer Science Applications
  • Computational Theory and Mathematics

Cite this

List-mode maximum-likelihood reconstruction applied to positron emission mammography (PEM) with irregular sampling. / Huesman, Ronald H.; Klein, Gregory J.; Moses, William W.; Qi, Jinyi; Reutter, Bryan W.; Virador, Patrick R G.

In: IEEE Transactions on Medical Imaging, Vol. 19, No. 5, 05.2000, p. 532-537.

Research output: Contribution to journalArticle

Huesman, Ronald H. ; Klein, Gregory J. ; Moses, William W. ; Qi, Jinyi ; Reutter, Bryan W. ; Virador, Patrick R G. / List-mode maximum-likelihood reconstruction applied to positron emission mammography (PEM) with irregular sampling. In: IEEE Transactions on Medical Imaging. 2000 ; Vol. 19, No. 5. pp. 532-537.
@article{4f582ee6e90a4c91b08027133cf81342,
title = "List-mode maximum-likelihood reconstruction applied to positron emission mammography (PEM) with irregular sampling",
abstract = "We present a preliminary study of list-mode likelihood reconstruction of images for a rectangular positron emission tomography (PET) specifically designed to image the human breast. The prospective device consists of small arrays of scintillation crystals for which depth of interaction is estimated. Except in very rare instances, the number of annihilation events detected is expected to be far less than the number of distinguishable events. If one were to histogram the acquired data, most histogram bins would remain vacant. Therefore, it seems natural to investigate the efficacy of processing events one at a time rather than processing the data in histogram format. From a reconstruction perspective, the new tomograph presents a challenge in that the rectangular geometry leads to irregular radial and angular sampling, and the field of view extends completely to the detector faces. Simulations are presented that indicate that the proposed tomograph can detect 8-mm-diameter spherical tumors with a tumor-to-background tracer density ratio of 3:1 using realistic image acquisition parameters. Spherical tumors of 4-mm diameter are near the limit of detectability with the image acquisition parameters used. Expressions are presented to estimate the loss of image contrast due to Compton scattering.",
author = "Huesman, {Ronald H.} and Klein, {Gregory J.} and Moses, {William W.} and Jinyi Qi and Reutter, {Bryan W.} and Virador, {Patrick R G}",
year = "2000",
month = "5",
doi = "10.1109/42.870263",
language = "English (US)",
volume = "19",
pages = "532--537",
journal = "IEEE Transactions on Medical Imaging",
issn = "0278-0062",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "5",

}

TY - JOUR

T1 - List-mode maximum-likelihood reconstruction applied to positron emission mammography (PEM) with irregular sampling

AU - Huesman, Ronald H.

AU - Klein, Gregory J.

AU - Moses, William W.

AU - Qi, Jinyi

AU - Reutter, Bryan W.

AU - Virador, Patrick R G

PY - 2000/5

Y1 - 2000/5

N2 - We present a preliminary study of list-mode likelihood reconstruction of images for a rectangular positron emission tomography (PET) specifically designed to image the human breast. The prospective device consists of small arrays of scintillation crystals for which depth of interaction is estimated. Except in very rare instances, the number of annihilation events detected is expected to be far less than the number of distinguishable events. If one were to histogram the acquired data, most histogram bins would remain vacant. Therefore, it seems natural to investigate the efficacy of processing events one at a time rather than processing the data in histogram format. From a reconstruction perspective, the new tomograph presents a challenge in that the rectangular geometry leads to irregular radial and angular sampling, and the field of view extends completely to the detector faces. Simulations are presented that indicate that the proposed tomograph can detect 8-mm-diameter spherical tumors with a tumor-to-background tracer density ratio of 3:1 using realistic image acquisition parameters. Spherical tumors of 4-mm diameter are near the limit of detectability with the image acquisition parameters used. Expressions are presented to estimate the loss of image contrast due to Compton scattering.

AB - We present a preliminary study of list-mode likelihood reconstruction of images for a rectangular positron emission tomography (PET) specifically designed to image the human breast. The prospective device consists of small arrays of scintillation crystals for which depth of interaction is estimated. Except in very rare instances, the number of annihilation events detected is expected to be far less than the number of distinguishable events. If one were to histogram the acquired data, most histogram bins would remain vacant. Therefore, it seems natural to investigate the efficacy of processing events one at a time rather than processing the data in histogram format. From a reconstruction perspective, the new tomograph presents a challenge in that the rectangular geometry leads to irregular radial and angular sampling, and the field of view extends completely to the detector faces. Simulations are presented that indicate that the proposed tomograph can detect 8-mm-diameter spherical tumors with a tumor-to-background tracer density ratio of 3:1 using realistic image acquisition parameters. Spherical tumors of 4-mm diameter are near the limit of detectability with the image acquisition parameters used. Expressions are presented to estimate the loss of image contrast due to Compton scattering.

UR - http://www.scopus.com/inward/record.url?scp=0034178297&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0034178297&partnerID=8YFLogxK

U2 - 10.1109/42.870263

DO - 10.1109/42.870263

M3 - Article

C2 - 11021696

AN - SCOPUS:0034178297

VL - 19

SP - 532

EP - 537

JO - IEEE Transactions on Medical Imaging

JF - IEEE Transactions on Medical Imaging

SN - 0278-0062

IS - 5

ER -