June 1994 · Volume 13, Issue 2 · Vol. 13 · Issue 2 · DOI 10.1109/42.293916
K.P. Philip, E.L. Dove, D.D. McPherson, N.L. Gotteiner, W. Stanford, K.B. Chandran
Abstract / 摘要
EnglishIdentification of anatomical features is a necessary step for medical image analysis. Automatic methods for feature identification using conventional pattern recognition techniques typically classify an object as a member of a predefined class of objects, but do not attempt to recover the exact or approximate shape of that object. For this reason, such techniques are usually not sufficient to iden...
Author Info / 作者信息
K.P. Philip
Affiliation not provided by IEEE Xplore
机构中文翻译待生成或 IEEE 未提供机构
E.L. Dove
Affiliation not provided by IEEE Xplore
机构中文翻译待生成或 IEEE 未提供机构
D.D. McPherson
Affiliation not provided by IEEE Xplore
机构中文翻译待生成或 IEEE 未提供机构
N.L. Gotteiner
Affiliation not provided by IEEE Xplore
机构中文翻译待生成或 IEEE 未提供机构
W. Stanford
Affiliation not provided by IEEE Xplore
机构中文翻译待生成或 IEEE 未提供机构
K.B. Chandran
Affiliation not provided by IEEE Xplore
机构中文翻译待生成或 IEEE 未提供机构
Translation: pending
AI: pending
Article 293916
June 1994 · Volume 13, Issue 2 · Vol. 13 · Issue 2 · DOI 10.1109/42.293921
J.A. Fessler
Abstract / 摘要
EnglishPresents an image reconstruction method for positron-emission tomography (PET) based on a penalized, weighted least-squares (PWLS) objective. For PET measurements that are precorrected for accidental coincidences, the author argues statistically that a least-squares objective function is as appropriate, if not more so, than the popular Poisson likelihood objective. The author proposes a simple dat...
Author Info / 作者信息
J.A. Fessler
Affiliation not provided by IEEE Xplore
机构中文翻译待生成或 IEEE 未提供机构
Translation: pending
AI: pending
Article 293921