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Positron emission tomography (PET) i...

Pawlak, Barbara.

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Positron emission tomography (PET) image reconstruction by density estimation.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Positron emission tomography (PET) image reconstruction by density estimation./
作者:	Pawlak, Barbara.
面頁冊數:	200 p.
附註:	Source: Masters Abstracts International, Volume: 46-04, page: 2238.
Contained By:	Masters Abstracts International46-04.
標題:	Biophysics, Medical. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=MR36367
ISBN:	9780494363676

Positron emission tomography (PET) image reconstruction by density estimation.
Pawlak, Barbara.

Positron emission tomography (PET) image reconstruction by density estimation. - 200 p.

Source: Masters Abstracts International, Volume: 46-04, page: 2238.

Thesis (M.Sc.)--University of Manitoba (Canada), 2007.

PET (positron emission tomography) scans are still in the experimental phase, as one of the newest breast cancer diagnostic techniques. It is becoming the new standard in neurology, oncology and cardiology. PET, like other nuclear medicine diagnostic and treatment techniques, involves the use of radiation. Because of the negative impact of radioactivity to our bodies the radiation doses in PET should be small.

ISBN: 9780494363676Subjects--Topical Terms:

1017681
Biophysics, Medical.

Positron emission tomography (PET) image reconstruction by density estimation.
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520 $a PET (positron emission tomography) scans are still in the experimental phase, as one of the newest breast cancer diagnostic techniques. It is becoming the new standard in neurology, oncology and cardiology. PET, like other nuclear medicine diagnostic and treatment techniques, involves the use of radiation. Because of the negative impact of radioactivity to our bodies the radiation doses in PET should be small.
520 $a The existing computing algorithms for calculating PET images can be divided into two broad categories: analytical and iterative methods. In the analytical approach the relation between the picture and its projections is expressed by a set of integral equations which are then solved analytically. The Fourier backprojection (FBP) algorithm is a numerical approximation of this analytical solution. Iterative approaches use deterministic (ART = Algebraic Reconstructed Technique) or stochastic (EM = Expectation Maximization) algorithms.
520 $a My proposed kernel density estimation (KDE) algorithm also falls also into the category of iterative methods. However, in this approach each coincidence event is considered individually. The estimate location of the annihilation event that caused each coincidence event is based on the previously assigned location of events processed earlier. To accomplish this, we construct a probability distribution along each coincidence line. This is generated from previous annihilation points by density estimation. It is shown that this density estimation approach to PET can reconstruct an image of an existing tumor using significantly less data than the standard CT algorithms, such as FBP. Therefore, it might he very promising technique allowing reduced radiation dose for patients, while retaining or improving image quality.
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