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PD-0230: Quantifying the impact of respiratory parameters in the spot scanning proton dose delivery

A. Protik, J.J. Sonke, M. Van Herk
2015 Radiotherapy and Oncology  
The three markers were retrospectively automatically segmented on the CBCT projections using in-house developed software.  ...  The toxicity was acceptable; however, longer follow up is needed.  ... 
doi:10.1016/s0167-8140(15)40228-2 fatcat:egtav7b36zdcrclw3rrt4ab4vy

Registration-Based Morphing of Active Contours for Segmentation of CT Scans

Yuan-Nan Young, Doron Levy
2004 Mathematical Biosciences and Engineering  
We present a new algorithm for segmenting organs in CT scans for radiotherapy treatment planning.  ...  Given a contour of an organ that is segmented in one image, our algorithm proceeds to segment contours that identify the same organ in the consecutive images.  ...  Levy was supported in part by the NSF under Career Grant DMS-0133511.  ... 
doi:10.3934/mbe.2005.2.79 pmid:20369913 fatcat:6hqm2bdn7vg3fmpce7u6ievrbm

3D Analysis of Radiofrequency-Ablated Tumors in Liver: A Computer-Aided Diagnosis Tool for Early Detection of Local Recurrences [chapter]

Ivan Bricault, Ron Kikinis, Eric van Sonnenberg, Kemal Tuncali, Stuart G. Silverman
2004 Lecture Notes in Computer Science  
Radiofrequency ablation is being used increasingly in the treatment of liver tumors, and the detection of local recurrences on follow-up imaging is an important and occasionally challenging task.  ...  long-term follow-up CT interpretation.  ...  Follow-up axial CT scans were acquired at months M=1, 5, 6, 9, 12 and 15 after the RF ablation of one active metastasis.  ... 
doi:10.1007/978-3-540-30136-3_129 fatcat:zyiyamufgjhkdcl4isscnjbhv4

A classifying registration technique for the estimation of enhancement curves of DCE-CT scan sequences

Mohamed Hachama, Agnès Desolneux, Charles A. Cuenod, Frédéric J.P. Richard
2010 Medical Image Analysis  
The technique is applied to DET-CT scan sequences and evaluated using ground truth data.  ...  Due to this tree approach, the number of classes is set automatically and the whole technique is entirely unsupervised.  ...  Such an approach requires a preliminary segmentation of images. But, in our DET-CT problem, it is difficult to obtain such a segmentation before image registration.  ... 
doi:10.1016/j.media.2009.12.002 pmid:20061177 fatcat:zz7zdjlqjzfltotbdktpgyi32u

Automatic Segmentation of Liver from Abdominal Computed Tomography Images using Energy Feature

Prabakaran Rajamanickam, Shiloah Elizabeth Darmanayagam, Sunil Retmin Raj Cyril Raj
2021 Computers Materials & Continua  
Liver Segmentation is one of the challenging tasks in detecting and classifying liver tumors from Computed Tomography (CT) images.  ...  This paper proposes an algorithm for automatic seed point selection using energy feature for use in level set algorithm for segmentation of liver region in CT scans.  ...  It offers the physician a better diagnosis and follows up in the patient's ailments.  ... 
doi:10.32604/cmc.2021.014347 fatcat:cvjlq77qjncozdicwghs2owoou

Application of the One-Stop Cardiac CT Scan on 256-Row Wide Detector Revolution CT in Myocardial Ischemia of Aortic Valve Degeneration Diagnosis

Xuefang Lu, Wei Gong, Yunfei Zha
2019 Iranian Red Crescent Medical Journal  
detection of plaques in the three and six segments of coronary arteries (P < 0.05).  ...  Conclusions: Both good CCTA and CT-MPI images can be obtained at the one-stop scanning by Revolution CT. This can be used for the diagnosis of AVD combined with myocardial ischemia.  ...  in recent years The high-end CTs that have emerged one after another have achieved preliminary results in the clinical study of CT myocardial perfusion Iran Red Crescent Med J. 2019; 21(3):e83343  ... 
doi:10.5812/ircmj.83343 fatcat:jijcgqyizzgv7gbl335nkadylq

Comparison of pre/post-operative CT image volumes to preoperative digitization of partial hepatectomies: a feasibility study in surgical validation

Prashanth Dumpuri, Logan W. Clements, Rui Li, Jonathan M. Waite, James D. Stefansic, David A. Geller, Michael I. Miga, Benoit M. Dawant, Michael I. Miga, Kenneth H. Wong
2009 Medical Imaging 2009: Visualization, Image-Guided Procedures, and Modeling  
Semi-quantitative comparisons are presented in this work and preliminary results indicate that significant liver regeneration/hypertrophy in the postoperative CT images may be present post-operatively.  ...  Preoperative computed tomography (CT) images acquired before surgery were used to identify tumor margins and to plan the surgical approach for resection of these tumors.  ...  A level set based technique to segment the organ with minimal user interaction was used to segment the liver and tumor from the abdominal CT scan.  ... 
doi:10.1117/12.813771 dblp:conf/miigp/DumpuriCLWSGMD09 fatcat:yduv25a3i5fnzow3c3bwqbv24m

Metabolic Tumour Volume from PSMA PET/CT Scans of Prostate Cancer Patients during Chemotherapy—Do Different Software Solutions Deliver Comparable Results?

Philipp E. Hartrampf, Marieke Heinrich, Anna Katharina Seitz, Joachim Brumberg, Ioannis Sokolakis, Charis Kalogirou, Andreas Schirbel, Hubert Kübler, Andreas K. Buck, Constantin Lapa, Markus Krebs
2020 Journal of Clinical Medicine  
Currently, it is unclear whether different software tools for assessing PSMA-TV and TL-PSMA produce comparable results. (2) Methods: 68Ga-PSMA PET/CT scans from n = 21 patients with castration-resistant  ...  chemotherapy with changes in serum PSA (ΔPSA) and PERCIST (Positron Emission Response Criteria in Solid Tumors). (3) Results: Comparing absolute PSMA-TV and TL-PSMA as well as Bland–Altman plotting revealed  ...  3 ) for follow-up PET/CT scans (p = 0.43).  ... 
doi:10.3390/jcm9051390 pmid:32397223 pmcid:PMC7290891 fatcat:zphil6frjzfovh7swwusqrsnke

Autonomous Real-Time Interventional Scan Plane Control With a 3-D Shape-Sensing Needle

Santhi Elayaperumal, Juan Camilo Plata, Andrew B. Holbrook, Yong-Lae Park, Kim Butts Pauly, Bruce L. Daniel, Mark R. Cutkosky
2014 IEEE Transactions on Medical Imaging  
Scan planes calculated based on the FBG sensors successfully follow the tip of the needle.  ...  Optical fiber strain sensors can estimate a needle's profile in real-time and be used for MRI scan plane control to potentially enable faster and more accurate physician response.  ...  Worters for assistance in initial software methods for scan plane control; Dr. M. Alley for consultation on the GE Signa system and transforms concerning scanner and image coordinate frames; Dr. R.  ... 
doi:10.1109/tmi.2014.2332354 pmid:24968093 pmcid:PMC5026644 fatcat:joddgcuqkjbrjdrjmb2i5v4tpy

Segmentation of pathological liver tissue with Dilated Fully Convolutional Networks: A Preliminary Study

Jessica C. Delmoral, Durval C. Costa, Diogo Borges, Joao Manuel R. S. Tavares
2019 2019 IEEE 6th Portuguese Meeting on Bioengineering (ENBENG)  
Experiments on the MICCAI Lits challenge dataset are described achieving segmentations with a mean Dice coefficients of 95.57% and 59.36% for the liver and liver tumour, using a total number 30 CT test  ...  Segmentation of the liver in Computer Tomography (CT) images allows the extraction of the three-dimensional (3D) structure of the liver tissues in which the observation of their relative position to one  ...  The authors also kindly thank Nvidia, for the contribution with one Nvidia Titan XP GPU, that was used in this work.  ... 
doi:10.1109/enbeng.2019.8692479 fatcat:aosdcsq7xzgzpnfyc7lyzvgteu

MORPHOLOGICAL SEGMENTATION OF THE KIDNEYS FROM ABDOMINAL CT IMAGES

AICHA BELGHERBI, ISMAHEN HADJIDJ, ABDELHAFID BESSAID
2014 Journal of Mechanics in Medicine and Biology  
This method can be helpful for preliminary testing of CT scan images. Our proposed approach has been tested for many other images and it gives satisfactory results.  ...  The liver is a common site for the tumors occurrence. Automatic hepatic lesion segmentation is a crucial step for diagnosis and surgery procedure.  ...  [25] presents a system for automatic detection and segmentation of focal liver lesions in CT images.  ... 
doi:10.1142/s0219519414500730 fatcat:uvawsx7h65cgvd2wk5337527ia

PO-0754: Stereotactic radiotherapy of liver metastases: 4DCT treatment planning and MRI follow-up on normal tissue response

C. Petersen, T. Frenzel, A. Koops, A. Krüll, M. Todorovic, R. Werner, T. Gauer
2013 Radiotherapy and Oncology  
and three different automatic segmentation methods of PET volumes were tested.  ...  Results: For one patient, no hypoxia was observed. For eight patients, hypoxia was observed in the primary tumour and nodes, for two in the primary tumour only and for four in the nodes only.  ...  Image fusion of the average treatment planning CT and kV-CBCT scans resulted in patient repositioning in a maximum of 6 mm magnitude per fraction.  ... 
doi:10.1016/s0167-8140(15)33060-7 fatcat:wp2xyogejfghlhycfr4aai3kxa

PO-0752: Reliability and feasibility of automatic segmentation in rectal cancer: a perspective study

M.A. Gambacorta, C. Valentini, N. Dinapoli, L. Boldrini, M.C. Barba, G.C. Mattiucci, D. Pasini, S. Manfrida, N. Caria, V. Valentini
2013 Radiotherapy and Oncology  
Treatment delivery was tracked with fiducials and the Synchrony system.  ...  Median PTV volume = 32cc (Range= 6-1879cc).Prescription dose was 30-36Gy in 3-5# (BED using α/β=10, 48-79). Dose was prescribed to the Median 64% isodose line (Range 48-78%).  ...  Image fusion of the average treatment planning CT and kV-CBCT scans resulted in patient repositioning in a maximum of 6 mm magnitude per fraction.  ... 
doi:10.1016/s0167-8140(15)33058-9 fatcat:rgwdu53fozg47bnloyv7ia33mi

Liver Tumor Segmentation based on Multi-scale Candidate Generation and Fractal Residual Network

Zhiqi Bai, Huiyan Jiang, Siqi Li, Yu-dong Yao
2019 IEEE Access  
To this end, this paper proposes a liver tumor segmentation method on CT volumes using multi-scale candidate generation method (MCG), 3D fractal residual network (3D FRN), and active contour model (ACM  ...  INDEX TERMS Fractal residual network, multi-scale candidate generation method, active contour model, liver tumor segmentation, CT volume.  ...  [11] described a method to segment liver tumors by enhancing the CT scan contrast levels and expectation maximization of the posterior marginal.  ... 
doi:10.1109/access.2019.2923218 fatcat:ugxhljbxszcavcf4iexehbdaju

The Impact of 3-Dimensional Reconstructions on Operation Planning in Liver Surgery

W. Lamade
2000 Archives of Surgery  
Results: The ability of correct tumor assignment to a liver segment was significantly correlated to the level of training (PϽ.05).  ...  The tumors had to be assigned to a liver segment and subsequently drawn together with the operation proposal into a given liver model.  ...  The particular task consists of the following steps: • Semiautomatic segmentation of liver parenchyma and hepatic tumor. • Automatic segmentation of the vascular trees. • Editing of the vascular trees  ... 
doi:10.1001/archsurg.135.11.1256 pmid:11074877 fatcat:jn7c3follnhhxjs7cebsyrmusy
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