Pet Clinics 

About: Pet Clinics is an academic journal published by Elsevier BV. The journal publishes majorly in the area(s): PET-CT & Medicine. It has an ISSN identifier of 1556-8598. Over the lifetime, 741 publications have been published receiving 7535 citations.

Overview of Breast Cancer Therapy

Abstract: Breast cancer treatment is multidisciplinary. Most women with early stage breast cancer are candidates for breast-conserving surgery with radiotherapy or mastectomy. The risk of local recurrence and the chance of survival does not differ with these approaches. Sentinel node biopsy is used for axillary staging, and individualized approaches are minimizing the need for axillary dissection in women with positive sentinel nodes. Adjuvant systemic therapy is used in most women based on proven survival benefit, and molecular profiling to individualize treatment based on risk is now a clinical reality for patients with hormone receptor-positive cancers.

Partial Volume Correction Strategies in PET

Abstract: In the early days of PET, the partial volume effect (PVE) was identified as a serious factor affecting image quality and limiting the accuracy of quantitative analysis. Because of the limited spatial resolution of clinical PET systems, the images are blurred by the system response so that smaller objects appear larger. Although the total number of counts is preserved, they are distributed over a larger volume. This article describes the various partial volume correction strategies used in PET and summarizes their clinical and research applications.

Strategies for Motion Tracking and Correction in PET

Abstract: With the arrival of increasingly higher-resolution PET systems, small amounts of motion can cause significant blurring in the resulting images compared with the intrinsic resolution of the PET scanner. The authors review advanced correction methods for unwanted patient motion and for motion due to cardiac and respiratory cycles. A general theme in motion correction methods is the use of increasingly sophisticated software to make use of existing advanced hardware. In this sense, the field is open to future novel ideas (hardware and especially software) aimed at improving motion detection, characterization, and compensation.

Tracer Kinetic Modeling in PET

Abstract: Molecular imaging using PET provides a unique tool for noninvasively investigating the biochemistry of living organs. The wide range of radiolabeled molecules makes it possible to explore various biochemical, physiologic, and pharmacologic processes in vivo. Because each radiotracer is characterized by its particular kinetic behavior in the human body, the quantification of this behavior is a critical component for the improvement of imaging protocols and for rapid translation from research and development to the clinic. Suitable image reconstruction algorithms combined with tracer kinetic modeling techniques are needed to assess parametric or quantitative biologic images from the available fourdimensional images. An appropriate mathematical model is generally used to fit the time-activity curves of a region or volume of interest, thus allowing the assessment of biologic parameters.

Advances in PET Image Reconstruction

Abstract: Until recently, the most widely used methods for image reconstruction were direct analytic techniques. Iterative techniques, although computationally much more intensive, produce improved images (principally arising from more accurate modeling of the acquired projection data), enabling these techniques to replace analytic techniques not only in research settings but also in the clinic. This article offers an overview of image reconstruction theory and algorithms for PET, with a particular emphasis on statistical iterative reconstruction techniques. Future directions for image reconstruction in PET are considered, which concern mainly improving the modeling of the data acquisition process and task-specific specification of the parameters to be estimated in image reconstruction.