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  • 11
    Online Resource
    Online Resource
    Wiley ; 2006
    In:  Medical Physics Vol. 33, No. 5 ( 2006-05), p. 1288-1298
    In: Medical Physics, Wiley, Vol. 33, No. 5 ( 2006-05), p. 1288-1298
    Abstract: Positron emission tonography (PET) is useful in diagnosis and radiation treatment planning for a variety of cancers. For patients with cancers in thoracic or upper abdominal region, the respiratory motion produces large distortions in the tumor shape and size, affecting the accuracy in both diagnosis and treatment. Four‐dimensional (4D) (gated) PET aims to reduce the motion artifacts and to provide accurate measurement of the tumor volume and the tracer concentration. A major issue in 4D PET is the lack of statistics . Since the collected photons are divided into several frames in the 4D PET scan, the quality of each reconstructed frame degrades as the number of frames increases. The increased noise in each frame heavily degrades the quantitative accuracy of the PET imaging. In this work, we propose a method to enhance the performance of 4D PET by developing a new technique of 4D PET reconstruction with incorporation of an organ motion model derived from 4D‐CT images. The method is based on the well‐known maximum‐likelihood expectation‐maximization (ML‐EM) algorithm. During the processes of forward‐ and backward‐projection in the ML‐EM iterations, all projection data acquired at different phases are combined together to update the emission map with the aid of deformable model, the statistics is therefore greatly improved. The proposed algorithm was first evaluated with computer simulations using a mathematical dynamic phantom. Experiment with a moving physical phantom was then carried out to demonstrate the accuracy of the proposed method and the increase of signal‐to‐noise ratio over three‐dimensional PET. Finally, the 4D PET reconstruction was applied to a patient case.
    Type of Medium: Online Resource
    ISSN: 0094-2405 , 2473-4209
    Language: English
    Publisher: Wiley
    Publication Date: 2006
    detail.hit.zdb_id: 1466421-5
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  • 12
    In: Journal of Applied Clinical Medical Physics, Wiley, Vol. 13, No. 6 ( 2012-11), p. 215-225
    Abstract: Frameless radiosurgery is an attractive alternative to the framed procedure if it can be performed with comparable precision in a reasonable time frame. Here, we present a positioning approach for frameless radiosurgery based on in‐room volumetric imaging coupled with an advanced six‐degrees‐of‐freedom (6 DOF) image registration technique which avoids use of a bite block. Patient motion is restricted with a custom thermoplastic mask. Accurate positioning is achieved by registering a cone‐beam CT to the planning CT scan and applying all translational and rotational shifts using a custom couch mount. System accuracy was initially verified on an anthropomorphic phantom. Isocenters of delineated targets in the phantom were computed and aligned by our system with an average accuracy of 0.2 mm, 0.3 mm, and 0.4 mm in the lateral, vertical, and longitudinal directions, respectively. The accuracy in the rotational directions was 0. , 0. , and 0. in the pitch, roll, and yaw, respectively. An additional test was performed using the phantom in which known shifts were introduced. Misalignments up to 10 mm and in all directions/rotations were introduced in our phantom and recovered to an ideal alignment within 0.2 mm, 0.3 mm, and 0.4 mm in the lateral, vertical, and longitudinal directions, respectively, and within 0. in any rotational axis. These values are less than couch motion precision. Our first 28 patients with 38 targets treated over 63 fractions are analyzed in the patient positioning phase of the study. Mean error in the shifts predicted by the system were less than 0.5 mm in any translational direction and less than 0. in any rotation, as assessed by a confirmation CBCT scan. We conclude that accurate and efficient frameless radiosurgery positioning is achievable without the need for a bite block by using our 6 DOF registration method. This system is inexpensive compared to a couch‐based 6 DOF system, improves patient comfort compared to systems that utilize a bite block, and is ideal for the treatment of pediatric patients with or without general anesthesia, as well as of patients with dental issues. From this study, it is clear that only adjusting for 4 DOF may, in some cases, lead to significant compromise in PTV coverage. Since performing the additional match with 6 DOF in our registration system only adds a relatively short amount of time to the overall process, we advocate making the precise match in all cases. PACS number: 87.55.tm; 87.55.Qr; 87.57.nj
    Type of Medium: Online Resource
    ISSN: 1526-9914 , 1526-9914
    Language: English
    Publisher: Wiley
    Publication Date: 2012
    detail.hit.zdb_id: 2010347-5
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  • 13
    Online Resource
    Online Resource
    Wiley ; 2006
    In:  Medical Physics Vol. 33, No. 7Part1 ( 2006-07), p. 2632-2641
    In: Medical Physics, Wiley, Vol. 33, No. 7Part1 ( 2006-07), p. 2632-2641
    Abstract: Respiratory motion artifacts in positron emission tomography (PET) imaging can alter lesion intensity profiles, and result in substantially reduced activity and contrast‐to‐noise ratios (CNRs). We propose a corrective algorithm, coined “retrospective stacking” (RS), to restore image quality without requiring additional scan time. Retrospective stacking uses b‐spline deformable image registration to combine amplitude‐binned PET data along the entire respiratory cycle into a single respiratory end point. We applied the method to a phantom model consisting of a small, hot vial oscillating within a warm background, as well as to images of a pancreatic and a liver patient. Comparisons were made using cross‐section visualizations, activity profiles, and CNRs within the region of interest. Retrospective stacking was found to properly restore the lesion location and intensity profile in all cases. In addition, RS provided CNR improvements up to three‐fold over gated images, and up to five‐fold over ungated data. These phantom and patient studies demonstrate that RS can correct for lesion motion and deformation, while substantially improving tumor visibility and background noise.
    Type of Medium: Online Resource
    ISSN: 0094-2405 , 2473-4209
    Language: English
    Publisher: Wiley
    Publication Date: 2006
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  • 14
    In: Journal of Applied Clinical Medical Physics, Wiley, Vol. 11, No. 3 ( 2010-06), p. 197-211
    Abstract: The objective was to evaluate the performance of a high‐definition multileaf collimator (MLC) of 2.5 mm leaf width ( ) and compare to standard 5 mm leaf width MLC ( ) for the treatment of intracranial lesions using dynamic conformal arcs (DCA) technique with a dedicated radiosurgery linear accelerator. Simulated cases of spherical targets were created to study solely the effect of target volume size on the performance of the two MLC systems independent of target shape complexity. In addition, 43 patients previously treated for intracranial lesions in our institution were retrospectively planned using DCA technique with and systems. The gross tumor volume ranged from 0.07 to with an average volume of . All treatment parameters were kept the same for both MLC‐based plans. The plan evaluation was performed using figures of merits (FOM) for a rapid and objective assessment on the quality of the two treatment plans for and . The prescription isodose surface was selected as the greatest isodose surface covering of the target volume and delivering 95% of the prescription dose to 99% of target volume. A Conformity Index (CI) and conformity distance index (CDI) were used to quantifying the dose conformity to a target volume. To assess normal tissue sparing, a normal tissue difference (NTD) was defined as the difference between the volume of normal tissue receiving a certain dose utilizing and the volume receiving the same dose using . The CI and normal tissue sparing for the simulated spherical targets were better with the as compared to . For the clinical patients, the CI and CDI results indicated that the provides better treatment conformity than even at large target volumes. The CI's range was 1.15 to 2.44 with a median of 1.59 for compared to 1.60–2.85 with a median of 1.71 for . Improved normal tissue sparing was also observed for over , with the NTD always positive, indicating improvement, and ranging from 0.1 to 8.3 for normal tissue receiving 50% ( ), 70% ( ) and 90% ( ) of the prescription dose. The has a dosimetric advantage over the in Linac‐based radiosurgery using DCA method for intracranial lesions, both in treatment conformity and normal tissue sparing when target shape complexity increases. PACS number: 87.56J‐, 87.56 jk
    Type of Medium: Online Resource
    ISSN: 1526-9914 , 1526-9914
    Language: English
    Publisher: Wiley
    Publication Date: 2010
    detail.hit.zdb_id: 2010347-5
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  • 15
    In: Medical Physics, Wiley, Vol. 37, No. 5 ( 2010-05), p. 2101-2109
    Abstract: Realization of combined positron emission tomography (PET)—magnetic resonance (MR) scanners has the potential to significantly change healthcare and revolutionize clinical practice as it allows, simultaneously, visualization of molecular imaging and anatomical imaging. PET‐MR, acquired in one imaging study, will likely become the advanced imaging modality of choice for neurological studies, certain forms of cancer, stroke, and the emerging study of stem cell therapy. A challenge toward the implementation and operation of combined PET‐MR scanners is that attenuation corrections maps are not directly available due to space and cost constraints. This article presents a method to obtain accurate patient‐specific PET attenuation coefficients maps in head imaging by warping an atlas computed tomography (CT) data set to the patient‐specific MR data set using a deformable registration model. Methods: A multimodality optical flow deformable model has been developed that establishes a voxel‐to‐voxel correspondence between the CT atlas and patient MR images. Once the mapping is established, the atlas is warped with the deformation field obtained by the registration to create a simulated CT image study that matches the patient anatomy, which could be used for attenuation correction. Results: To evaluate the accuracy of the deformable‐based attenuation correction, 17 clinical brain tumor cases were studied using acquired MR‐CT images. A simulated CT was compared to the patient's true CT to assess geometrical accuracy of the deformation module as well as voxel‐to‐voxel comparison of Hounsfield units (HUs). In all cases, mapping from the atlas CT to the individual MR was achieved with geometrical accuracy as judged using quantitative inspection tools. The mean distance between simulated and true CT external contour and bony anatomy was 1.26 and 2.15 mm, respectively. In terms of HU unit comparison, the mean voxel‐to‐voxel difference was less than 2 HU for all cases. Conclusions: Attenuation correction for hybrid PET‐MR scanners was easily achieved by individualizing an atlas CT to the MR data set using a deformable model without requiring user interaction. The method provided clinical accuracy while eliminating the need for an additional CT scan for PET attenuation correction.
    Type of Medium: Online Resource
    ISSN: 0094-2405 , 2473-4209
    Language: English
    Publisher: Wiley
    Publication Date: 2010
    detail.hit.zdb_id: 1466421-5
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  • 16
    Online Resource
    Online Resource
    Wiley ; 2014
    In:  Journal of Applied Clinical Medical Physics Vol. 15, No. 4 ( 2014-07), p. 22-38
    In: Journal of Applied Clinical Medical Physics, Wiley, Vol. 15, No. 4 ( 2014-07), p. 22-38
    Abstract: Segmentation of organs at risk (OARs) remains one of the most time‐consuming tasks in radiotherapy treatment planning. Atlas‐based segmentation methods using single templates have emerged as a practical approach to automate the process for brain or head and neck anatomy, but pose significant challenges in regions where large interpatient variations are present. We show that significant changes are needed to autosegment thoracic and abdominal datasets by combining multi‐atlas deformable registration with a level set‐based local search. Segmentation is hierarchical, with a first stage detecting bulk organ location, and a second step adapting the segmentation to fine details present in the patient scan. The first stage is based on warping multiple presegmented templates to the new patient anatomy using a multimodality deformable registration algorithm able to cope with changes in scanning conditions and artifacts. These segmentations are compacted in a probabilistic map of organ shape using the STAPLE algorithm. Final segmentation is obtained by adjusting the probability map for each organ type, using customized combinations of delineation filters exploiting prior knowledge of organ characteristics. Validation is performed by comparing automated and manual segmentation using the Dice coefficient, measured at an average of 0.971 for the aorta, 0.869 for the trachea, 0.958 for the lungs, 0.788 for the heart, 0.912 for the liver, 0.884 for the kidneys, 0.888 for the vertebrae, 0.863 for the spleen, and 0.740 for the spinal cord. Accurate atlas segmentation for abdominal and thoracic regions can be achieved with the usage of a multi‐atlas and perstructure refinement strategy. To improve clinical workflow and efficiency, the algorithm was embedded in a software service, applying the algorithm automatically on acquired scans without any user interaction. PACS numbers: 87.57.nm, 87.57.N‐, 87.57.Q‐
    Type of Medium: Online Resource
    ISSN: 1526-9914 , 1526-9914
    Language: English
    Publisher: Wiley
    Publication Date: 2014
    detail.hit.zdb_id: 2010347-5
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  • 17
    Online Resource
    Online Resource
    Wiley ; 2014
    In:  Journal of Applied Clinical Medical Physics Vol. 15, No. 2 ( 2014-03), p. 19-27
    In: Journal of Applied Clinical Medical Physics, Wiley, Vol. 15, No. 2 ( 2014-03), p. 19-27
    Abstract: Treatment planning for volumetric arc therapy (VMAT) is a lengthy process that requires many rounds of optimizations to obtain the best treatment settings and optimization constraints for a given patient's geometry. We propose a feature‐selection search engine that explores previously treated cases of similar anatomy, returning the optimal plan configurations and attainable DVH constraints. Using an institutional database of 83 previously treated cases of prostate carcinoma treated with volumetric‐modulated arc therapy, the search procedure first finds the optimal isocenter position with an optimization procedure, then ranks the anatomical similarity as the mean distance between targets. For the best matching plan, the planning information is reformatted to the DICOM format and imported into the treatment planning system to suggest isocenter, arc directions, MLC patterns, and optimization constraints that can be used as starting points in the optimization process. The approach was tested to create prospective treatment plans based on anatomical features that match previously treated cases from the institution database. By starting from a near‐optimal solution and using previous optimization constraints, the best matching test only required simple optimization steps to further decrease target inhomogeneity, ultimately reducing time spend by the therapist in planning arcs' directions and lengths. PACS number: 87.55.D‐, 87.55.de
    Type of Medium: Online Resource
    ISSN: 1526-9914 , 1526-9914
    Language: English
    Publisher: Wiley
    Publication Date: 2014
    detail.hit.zdb_id: 2010347-5
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  • 18
    Online Resource
    Online Resource
    IOP Publishing ; 2003
    In:  Physics in Medicine and Biology Vol. 48, No. 12 ( 2003-06-21), p. 1825-1841
    In: Physics in Medicine and Biology, IOP Publishing, Vol. 48, No. 12 ( 2003-06-21), p. 1825-1841
    Type of Medium: Online Resource
    ISSN: 0031-9155 , 1361-6560
    RVK:
    Language: Unknown
    Publisher: IOP Publishing
    Publication Date: 2003
    detail.hit.zdb_id: 1473501-5
    SSG: 12
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  • 19
    Online Resource
    Online Resource
    Elsevier BV ; 2011
    In:  PET Clinics Vol. 6, No. 2 ( 2011-4), p. 117-129
    In: PET Clinics, Elsevier BV, Vol. 6, No. 2 ( 2011-4), p. 117-129
    Type of Medium: Online Resource
    ISSN: 1556-8598
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2011
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  • 20
    In: International Journal of Radiation Oncology*Biology*Physics, Elsevier BV, Vol. 103, No. 5 ( 2019-04), p. E6-
    Type of Medium: Online Resource
    ISSN: 0360-3016
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2019
    detail.hit.zdb_id: 1500486-7
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