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Journal articles on the topic 'Images treatment'

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Author: Grafiati

Published: 27 July 2024

Last updated: 28 July 2024

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1

Allum, Shayne. "Remote Online Image Review for Stereotactic CBCT Treatment Images." Journal of Medical Imaging and Radiation Sciences 53, no. 2 (June 2022): S13. http://dx.doi.org/10.1016/j.jmir.2022.04.036.

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2

Chou, Szu-Yuan, Cindy Chan, Yu-Chieh Lee, Tzu-Ning Yu, Chii-Ruey Tzeng, and Chi-Huang Chen. "Evaluation of adenomyosis after gonadotrophin-releasing hormone agonist therapy using ultrasound post-processing imaging: a pilot study." Journal of International Medical Research 48, no. 6 (June 2020): 030006052092005. http://dx.doi.org/10.1177/0300060520920056.

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Objective We explored a method for the quantitative sonographic analysis of myometrial texture using computer-aided image analysis software to assess outcomes following treatment with gonadotrophin-releasing hormone (GnRH) agonist for adenomyosis in women with infertility. Method Data for patients with ultrasound images of the myometrium obtained at Taipei Medical University Hospital from 1 September 2018 to 5 April 5 2019 were analyzed. Only 10 patients with 20 ultrasound images matched the eligibility criteria. The images were divided into pre-treatment (n = 10) and post-treatment images (n = 10) and quantitative grayscale histograms were obtained from the ultrasound images using publicly available ImageJ computer-aided image analysis software. We analyzed the differences between the pre- and post-treatment images using the Mann–Whitney test and compared the results with outcomes assessed by serum CA-125 levels. Results Image analysis of the grayscale histograms revealed significant differences between before and after treatment. The classification of the myometrium pre-treatment and post-treatment was similar using CA-125 and histogram grayscale analysis. Conclusion Computer-aided image analysis of grayscale histograms of the myometrium obtained from ultrasound images is an alternative method for assessing myometrial conditions after GnRH agonist treatment in patients with adenomyosis.

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Thilagashanthi, T., K. Gunasekaran, and K. S. Satyanarayanan. "Treatment on Coconut Shell to Improve its Quality for Use as Coarse Aggregate." Materials Science Forum 1030 (May 2021): 94–102. http://dx.doi.org/10.4028/www.scientific.net/msf.1030.94.

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To improve the quality of coconut shell (CS) to use as coarse aggregate different treatment methods are given to CS. Polyvinyl alcohol (PVA) and ferrous sulphate (FS) were used as materials for treating the CS. Ten different types of treatments were considered from raw CS to treat with PVA and FS. Significant reduction of water absorbing quality on CS was found from the different types of treatment given. Scanning electron microscopic (SEM) images were also taken and analyzed. SEM images obtained are exported into the software called ImageJ and analyzed in two different ways: one way is using 8 bits and other way is called RGB. An extract from the ImageJ software is given to support the results of treated CS aggregates. If the CS aggregates are treated, then no doubt that the water absorbing capacity of CS can be reduced.

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Chang, Jenghwa, Sunitha Thakur, Gerard Perera, Alex Kowalski, Wei Huang, Sasan Karimi, Margie Hunt, et al. "Image-fusion of MR spectroscopic images for treatment planning of gliomas." Medical Physics 33, no. 1 (December 19, 2005): 32–40. http://dx.doi.org/10.1118/1.2128497.

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CHANG, J., S. THAKUR, G. PERERA, A. KOWALSKI, W. HUANG, S. KARIMI, M. HUNT, J. KOUTCHER, S. LEIBEL, and H. AMOLS. "Image-fusion of MR spectroscopic images for treatment planning of gliomas." International Journal of Radiation OncologyBiologyPhysics 60 (September 2004): S223—S224. http://dx.doi.org/10.1016/s0360-3016(04)01236-2.

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Chang, J., S. Thakur, G. Perera, A. Kowalski, W. Huang, S. Karimi, M. Hunt, et al. "Image-fusion of MR spectroscopic images for treatment planning of gliomas." International Journal of Radiation Oncology*Biology*Physics 60, no. 1 (September 2004): S223—S224. http://dx.doi.org/10.1016/j.ijrobp.2004.06.179.

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Augustine, D. X., A. Garg, and C. Knechtli. "Cardiac lymphoma: ECG images pre-treatment and post-treatment." Case Reports 2010, sep23 1 (September 29, 2010): bcr0520103018. http://dx.doi.org/10.1136/bcr.05.2010.3018.

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8

Shalev, S., L. Bartel, P. Therrien, P. Hahn, and M. Carey. "Treatment planning with images of regret." International Journal of Radiation Oncology*Biology*Physics 12 (November 1986): 142. http://dx.doi.org/10.1016/0360-3016(86)90602-4.

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Shalev, Shlomo, David Viggars, Maxine Carey, and Margaret Stewart. "Treatment Planning Using Images of Regret." Medical Dosimetry 13, no. 2 (1988): 57–61. http://dx.doi.org/10.1016/0958-3947(88)90031-3.

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10

Poojary, Manjula, and Yarramalle Srinivas. "Image Segmentation Based on G.O.A for Finding Deformities in Medical and Aura Images." Indian Journal Of Science And Technology 17, no. 20 (May 17, 2024): 2117–27. http://dx.doi.org/10.17485/ijst/v17i20.629.

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Objectives: The research aims to develop the segmentation model to identify the deformity in the medical images as accurately as possible and plan for better medical treatment. The study is extended to identify the disease before its appearance in the human body through human aura images to support aura imaging in medical diagnosis. Methods: The study used a brain image from the UCI data set and Aura images from the Biowell data set to identify the disease. The segmentation model Bivariate Gaussian Mixture Model (B.G.M.M) was developed. Model parameters are derived using the Expectation Maximization (E.M) Algorithm. The Grasshopper optimization Algorithm (G.O.A) extracts optimal features from the images. The chosen feature is fed as input to the classification model B.G.M.M. Segmentation accuracy is measured using the quality metrics. Findings: The developed approach shows 97% accuracy in identifying the damaged tissues in MRI images and high-intensity energy zones in the aura images, indicating the potential for deformities. Novelty: This study significantly contributes to the field by offering novel solutions for precise and comprehensive image analysis in medical and aura imaging contexts. Keywords: G.O.A, segmentation, G.M.M, E.M, quality metrics, deformity identification, Hue and saturation

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11

Faranda, Frank. "Prologue: Images in Mind: Working with Image-based Experience in Psychotherapeutic Treatment." Psychoanalytic Inquiry 36, no. 8 (November 14, 2016): 591–92. http://dx.doi.org/10.1080/07351690.2016.1225468.

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Faranda, Frank. "Epilogue: Images in Mind: Working with Image-based Experience in Psychotherapeutic Treatment." Psychoanalytic Inquiry 36, no. 8 (November 14, 2016): 653. http://dx.doi.org/10.1080/07351690.2016.1226060.

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13

Vaarkamp, Jaap, David C. Barber, John Conway, and Martin H. Robinson. "Automatic image registration of diagnostic and radiotherapy treatment planning CT head images." International Journal of Radiation Oncology*Biology*Physics 47, no. 1 (April 2000): 225–30. http://dx.doi.org/10.1016/s0360-3016(99)00552-0.

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14

Raga, Francisco, Juan Carlos Castillo, Francisco Bonilla, and Fernando Bonilla-Musoles. "HDlive ultrasound images in assisted reproduction treatment." Reproductive BioMedicine Online 26, no. 3 (March 2013): 269–71. http://dx.doi.org/10.1016/j.rbmo.2012.11.012.

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Pasquali, Paola, Azael Freites-Martinez, and Angeles Fortuño. "Nipple Adenoma: New Images and Cryosurgery Treatment." Breast Journal 22, no. 5 (June 27, 2016): 584–85. http://dx.doi.org/10.1111/tbj.12636.

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Gur, David, John C. Weiser, Elmer R. Cano, and Melvin Deutsch. "Clinical applications of electron treatment portal images." International Journal of Radiation Oncology*Biology*Physics 17 (January 1989): 160. http://dx.doi.org/10.1016/0360-3016(89)90717-7.

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Ferrero, Simone, Luiza H. Abbamonte, Valentino Remorgida, Paola Anserini, and Nicola Ragni. "Images of children born following infertility treatment." Archives of Gynecology and Obstetrics 275, no. 2 (August 22, 2006): 113–16. http://dx.doi.org/10.1007/s00404-006-0224-1.

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Amandine, Verguet, Messaoudi Cédric, Marco Sergio, and Donnadieu Patricia. "An ImageJ tool for simplified post-treatment of TEM phase contrast images (SPCI)." Micron 121 (June 2019): 90–98. http://dx.doi.org/10.1016/j.micron.2019.01.006.

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Koo, Jihye, Louis Nardella, Michael Degnan, Jacqueline Andreozzi, Hsiang-hsuan M. Yu, Jose Penagaricano, Peter A. S. Johnstone, et al. "Triggered kV Imaging During Spine SBRT for Intrafraction Motion Management." Technology in Cancer Research & Treatment 20 (January 2021): 153303382110630. http://dx.doi.org/10.1177/15330338211063033.

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Purpose: To monitor intrafraction motion during spine stereotactic body radiotherapy(SBRT) treatment delivery with readily available technology, we implemented triggered kV imaging using the on-board imager(OBI) of a modern medical linear accelerator with an advanced imaging package. Methods: Triggered kV imaging for intrafraction motion management was tested with an anthropomorphic phantom and simulated spine SBRT treatments to the thoracic and lumbar spine. The vertebral bodies and spinous processes were contoured as the image guided radiotherapy(IGRT) structures specific to this technique. Upon each triggered kV image acquisition, 2D projections of the IGRT structures were automatically calculated and updated at arbitrary angles for display on the kV images. Various shifts/rotations were introduced in x, y, z, pitch, and yaw. Gantry-angle-based triggering was set to acquire kV images every 45°. A group of physicists/physicians(n = 10) participated in a survey to evaluate clinical efficiency and accuracy of clinical decisions on images containing various phantom shifts. This method was implemented clinically for treatment of 42 patients(94 fractions) with 15 second time-based triggering. Result: Phantom images revealed that IGRT structure accuracy and therefore utility of projected contours during triggered imaging improved with smaller CT slice thickness. Contouring vertebra superior and inferior to the treatment site was necessary to detect clinically relevant phantom rotation. From the survey, detectability was proportional to the shift size in all shift directions and inversely related to the CT slice thickness. Clinical implementation helped evaluate robustness of patient immobilization. Based on visual inspection of projected IGRT contours on planar kV images, appreciable intrafraction motion was detected in eleven fractions(11.7%). Discussion: Feasibility of triggered imaging for spine SBRT intrafraction motion management has been demonstrated in phantom experiments and implementation for patient treatments. This technique allows efficient, non-invasive monitoring of patient position using the OBI and patient anatomy as a direct visual guide.

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La Nave, Francesca. "Image: Reflections on the treatment of images and dreams in art psychotherapy groups." International Journal of Art Therapy 15, no. 1 (June 2010): 13–24. http://dx.doi.org/10.1080/17454831003752378.

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21

Hüpf, T., P. Winkler, and K. Kapp. "1226 poster INVESTIGATING AN IMAGE GUIDED POSITIONING SYSTEM VIA MV TREATMENT BEAM IMAGES." Radiotherapy and Oncology 99 (May 2011): S457. http://dx.doi.org/10.1016/s0167-8140(11)71348-2.

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22

Novario, Raffaele, Paola Stucchi, Lucia Perna, and Leopoldo Conte. "Radiotherapy Treatment Verification." Tumori Journal 84, no. 2 (March 1998): 144–49. http://dx.doi.org/10.1177/030089169808400209.

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During a radiotherapy treatment, a dosimetric verification or a geometric localization can be done, in order to assess the quality of the treatment. The dosimetric verification is generally performed measuring the dose at some points inside (natural cavities) or outside the patient, and comparing it to the dose at the same points calculated and predicted by the treatment planning system. This can be done either with thermoluminescent or diodes dosimeters or with ionization chambers. The geometric localization can be done acquiring a portal image of the patient. Portal imaging can be performed either with films placed between metallic screens, or with an electronic portal imaging device such as fluoroscopic systems, solid state devices or matrix ionization chamber systems. In order to assess possible field placement errors, the portal images have to be compared with images obtained with the simulator in the same geometric conditions and/or with the digitally reconstructed radiograph (DRR) obtained with the treatment planning system. In particular, when using matrix ionization chamber systems, the portal images contain also information regarding the exit dose. This means that this kind of imaging device can be used both for geometric localization and for dosimetric verification. In this case, the exit dose measured by the portal image can be compared with the exit dose calculated and predicted by the treatment planning system. Some “in-vivo” applications of this methodology are presented.

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Wakatsuki, Yu, Koji Tanaka, Ryusaburo Mori, Koichi Furuya, Akiyuki Kawamura, and Hiroyuki Nakashizuka. "Morphological Changes and Prognostic Factors before and after Photodynamic Therapy for Central Serous Chorioretinopathy." Pharmaceuticals 14, no. 1 (January 11, 2021): 53. http://dx.doi.org/10.3390/ph14010053.

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Central serous chorioretinopathy (CSC) is a disease of unknown etiology, but half-dose photodynamic therapy (hPDT) is well known to be effective for CSC. Infrared reflectance (IR) has been shown to be effective for detecting retinal pigmented epithelial and choroidal lesions, but no reports have focused on chorioretinal changes using IR images after as compared to before hPDT. This study aimed to clarify the features of IR images as well as retinal and choroidal morphological changes before and after treatment with verteporfin hPDT for CSC. We also examined prognostic factors associated with CSC treatment. This was a retrospective study that included 140 eyes of 140 patients (male/female ratio 122:18, mean age 53.4 ± 10.8 years) diagnosed with CSC who underwent hPDT in our hospital during the period from April 2015 to December 2018. We determined changes in visual acuity, therapeutic efficacy, central retinal thickness (CRT), central choroidal thickness (CCT), and IR images at one and three months after hPDT as compared to before treatment. Dry macula was defined as a complete resolution of serous retinal detachment after hPDT. History of smoking, disease duration, presence of drusen, presence of retinal pigment epithelium abnormalities, type of fluorescein angiographic leakage, and presence of choroidal vascular hyperpermeability were investigated as prognostic factors associated with treatment efficacy. CRT and CCT were measured using optical coherence tomography (Spectralis HRA-2; Heidelberg Engineering), and IR images after versus before treatment were compared using ImageJ software (version 1.52) to calculate the mean luminance for a 3 × 3 mm area in the macula. Compared with the values before treatment, CCT, CRT, and visual acuity showed significant improvements at one and three months after treatment, and the mean luminance of IR images was also significantly increased. Furthermore, the luminance on IR images tended to rise, though the values at one month and three months after treatment did not differ significantly. Disease duration was significantly associated with dry macula one month after treatment, and visual acuity and CRT before hPDT were both significantly related to dry macula three months after treatment. IR images tended to improve over time, from before treatment through one and three months after hPDT.

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Wakatsuki, Yu, Koji Tanaka, Ryusaburo Mori, Koichi Furuya, Akiyuki Kawamura, and Hiroyuki Nakashizuka. "Morphological Changes and Prognostic Factors before and after Photodynamic Therapy for Central Serous Chorioretinopathy." Pharmaceuticals 14, no. 1 (January 11, 2021): 53. http://dx.doi.org/10.3390/ph14010053.

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Central serous chorioretinopathy (CSC) is a disease of unknown etiology, but half-dose photodynamic therapy (hPDT) is well known to be effective for CSC. Infrared reflectance (IR) has been shown to be effective for detecting retinal pigmented epithelial and choroidal lesions, but no reports have focused on chorioretinal changes using IR images after as compared to before hPDT. This study aimed to clarify the features of IR images as well as retinal and choroidal morphological changes before and after treatment with verteporfin hPDT for CSC. We also examined prognostic factors associated with CSC treatment. This was a retrospective study that included 140 eyes of 140 patients (male/female ratio 122:18, mean age 53.4 ± 10.8 years) diagnosed with CSC who underwent hPDT in our hospital during the period from April 2015 to December 2018. We determined changes in visual acuity, therapeutic efficacy, central retinal thickness (CRT), central choroidal thickness (CCT), and IR images at one and three months after hPDT as compared to before treatment. Dry macula was defined as a complete resolution of serous retinal detachment after hPDT. History of smoking, disease duration, presence of drusen, presence of retinal pigment epithelium abnormalities, type of fluorescein angiographic leakage, and presence of choroidal vascular hyperpermeability were investigated as prognostic factors associated with treatment efficacy. CRT and CCT were measured using optical coherence tomography (Spectralis HRA-2; Heidelberg Engineering), and IR images after versus before treatment were compared using ImageJ software (version 1.52) to calculate the mean luminance for a 3 × 3 mm area in the macula. Compared with the values before treatment, CCT, CRT, and visual acuity showed significant improvements at one and three months after treatment, and the mean luminance of IR images was also significantly increased. Furthermore, the luminance on IR images tended to rise, though the values at one month and three months after treatment did not differ significantly. Disease duration was significantly associated with dry macula one month after treatment, and visual acuity and CRT before hPDT were both significantly related to dry macula three months after treatment. IR images tended to improve over time, from before treatment through one and three months after hPDT.

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Matthews, Allison J., Joel D. Scanlan, and Ken C. Kirkby. "Online Exposure Treatment for Spider Fear: The Effects of Moving Versus Static Images on Treatment Adherence, Fear Elicitation and Habituation." Behaviour Change 29, no. 1 (March 2012): 15–24. http://dx.doi.org/10.1017/bec.2012.7.

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This research aimed to examine the effects of moving (videos) versus static (pictures) images on habituation and progression in a hierarchy during online symbolic exposure (OSE) for spider fear. Participants were 351 people with high spider fear who logged on to an OSE website (www.feardrop.com) for self-help purposes. The inclusion of moving images in the exposure hierarchy increased adherence rates relative to static images, particularly among those with lower relative to higher spider fear. Those who viewed moving images at Stage 2 showed higher Subjective Units of Distress Scale (SUDS) ratings overall, but a similar pattern of habituation relative to those who viewed static images. In addition, 71% of participants completed at least one stage of the OSE program, representing an improvement from 30% adherence in previous research that used an earlier version of the program. These findings support the development of tailored exposure hierarchies to maximise adherence and treatment benefit for individual participants.

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Gardiner, Anna, Miriam Sullivan, and Ann Grand. "Who Are You Writing for? Differences in Response to Blog Design Between Scientists and Nonscientists." Science Communication 40, no. 1 (January 12, 2018): 109–23. http://dx.doi.org/10.1177/1075547017747608.

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Science blogs have been advocated as potential mediators between science and nonscientist readers; however, they are mostly read by other scientists, with little research on how blogs can be made more appealing for nonscientists. We compared four possible treatments of a science blog post (text-only, humor, images and video). Nonscientists recalled more information when images were included compared to humor, while scientists performed worse with text-only than with video. Nonscientists enjoyed the images treatment most, while scientists preferred the video treatment. Adding images to blog posts is recommended as an easy method of increasing recall and enjoyment among readers.

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Indra G, Maragathavalli G, and Deepika Rajendran. "Analysis of Panoramic Images of Orthodontic Patients." International Journal of Research in Pharmaceutical Sciences 11, SPL3 (October 22, 2020): 1750–54. http://dx.doi.org/10.26452/ijrps.v11ispl3.3507.

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Panoramic imaging is the most widely requested radiographic technique in dentistry. In orthodontics, the clinical and radiographic examinations are routinely carried out along with dental and skeletal photographs as a part of diagnosis and treatment planning. The evaluation of radiographs of patients after orthodontic treatment is important in understanding the possible changes that tend to occur post-treatment. This study aims to analyze the incidental findings present in the radiographs of patients who previously underwent orthodontic treatment. A total of 30 patients (18 females; 12 male) were randomly selected from the Orthodontic clinic at the Department of Orthodontics, Saveetha Dental College and Hospital, Chennai. Two independent examiners analyzed the panoramic radiographs for anomalies and pathologies. The result showed the most common finding, which was periodontal pathology (Generalised bone loss, widening of periodontal ligament space, or both, loss of lamina dura) with a prevalence of 36.7%. All the patients taken into the study had at least one anomaly. In conclusion, the relevant findings were observed in all the radiographs & special care should be taken while evaluating them to diagnose alterations that may require other dental treatments.

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S., Sreeja, and Muhammad Noorul Mubarak D. "Pseudo Computed Tomography Image Generation from Brain Magnetic Resonance Image for Radiation Therapy Treatment Planning Using DCNN-UNET." Webology 18, SI05 (October 30, 2021): 704–26. http://dx.doi.org/10.14704/web/v18si05/web18256.

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Relative to Computed Tomography (CT), the increased soft tissue contrasts of magnetic resonance imaging (MRI) makes it a suitable imaging method to decide radiation therapy (RT). When MRI scans are used for therapy planning, a CT scan is still required for dosage calculation and x-ray-based patient placement. This raises workload, leads to incertitude owing to the requisite of image registration inter-modality and requires needless irradiation. Even though it would be advantageous to only use MR images, a way of estimating a pseudo-CT (pCT) must be used to generate electron density mapping and patient reference imagery. So, this paper brings an effective deep learning model to generate synthesized CT from MRI images using the following steps; a) data acquisition where CT and MRI scan images are collected, b) preprocessing of images to avoid the anomalies and noises using techniques like outlier elimination, data smoothening and data normalizing, c) feature extraction and selection using Principle Component Analysis (PCA) & regression method, d) generating pCT from MRI using Deep Convolutional Neural Network and UNET (DCNN-UNET). Further, we assessed metrics such as DC, SSIM, MAE and MSE for this model. However, our suggested model outperforms with an accuracy of 95%.

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Han, Kui Xia, Yan Ling Li, and Mei Yu. "The Research to Image Enhancing Method of Infrared Images." Advanced Materials Research 562-564 (August 2012): 1642–45. http://dx.doi.org/10.4028/www.scientific.net/amr.562-564.1642.

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The contrast is low, and the noise is strong in infrared images, which go against defects judgment and recognition. In order to resolve them, limitations of common methods were analyzed, then, according to characters of infrared images and processing target, grayscale value adjustment method and low pass filter method was introduced. Designed image enhancement steps, and it was applied to process thermal image. In process of index low-pass filtering, the cut-off frequency selection was studied. And, it was found, when it was 40, the effect was ideal. Compared the original image with image after treatment, the validity of this method was verified. There an effective way was designed for heat waves image enhancement.

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Liu, Jing, Guangtao Zhai, Xiaokang Yang, and Li Chen. "Lossless Predictive Coding for Images With Bayesian Treatment." IEEE Transactions on Image Processing 23, no. 12 (December 2014): 5519–30. http://dx.doi.org/10.1109/tip.2014.2365698.

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Takahashi, Takemori, Takashi Ishiguro, and Toru Hayasaka. "112. Gamma knife treatment planning with MR-images." Japanese Journal of Radiological Technology 49, no. 2 (1993): 232. http://dx.doi.org/10.6009/jjrt.kj00003501157.

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Wong, John W., Eric D. Slessinger, Russell E. Hermes, Carolyn J. Offutt, Tapan Roy, and Michael W. Vannier. "Portal dose images I: Quantitative treatment plan verification." International Journal of Radiation Oncology*Biology*Physics 18, no. 6 (June 1990): 1455–63. http://dx.doi.org/10.1016/0360-3016(90)90322-b.

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Apipudin, Aap, Irpan Ali Rahman, Dede Sumiati, Dini Nurfauziyah, and Fanny Khalifa Latifah. "Images Of Self-Treatment In Patients Of Hallucinations." Asy-Syifa : Journal of Science and Technology Nursing 1, no. 1 (March 20, 2023): 1–6. http://dx.doi.org/10.52221/asyjstn.v1i1.184.

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Purpose: this study was to describe the knowledge of self-care in patients with hallucinatory mental disorders such as bathing, dressing and decorating, eating and drinking, defecating and urinating, nail clippers, and toothbrushes. Methods: this research is a quantitative descriptive method using a cross sectional design. The sample in this study were 20 respondents with hallucinatory mental disorders at the Mentari Hati Tasikmalaya Foundation. Results: description of self-care knowledge in hallucinatory patients with 20 respondents. In the female sex, as many as 15 people got an average self-care knowledge of 34%, while in men there were 5 people with an average more than women, namely 35. For the average self-care knowledge of men and female is 34.5. Conclusion: this study shows that self-care knowledge in hallucinatory mental disorder patients is lacking.

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Lee, H., K. Cheong, J. Jung, S. Cho, S. Jung, J. Kim, and I. Yeo. "SU-F-J-114: On-Treatment Imagereconstruction Using Transit Images of Treatment Beams Through Patient and Thosethrough Planning CT Images." Medical Physics 43, no. 6Part10 (June 2016): 3433. http://dx.doi.org/10.1118/1.4956022.

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Lewis, J., R. Li, S. St. James, Y. Yue, R. Berbeco, and P. Mishra. "Fluoroscopic 3D Images Based on 2D Treatment Images Using a Realistic Modified XCAT Phantom." International Journal of Radiation Oncology*Biology*Physics 84, no. 3 (November 2012): S737. http://dx.doi.org/10.1016/j.ijrobp.2012.07.1972.

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McShan, D. L., B. A. Fraass, and A. S. Lichter. "Treatment plan verification using portal images and beam's eye view treatment planning." International Journal of Radiation Oncology*Biology*Physics 13 (October 1987): 199–200. http://dx.doi.org/10.1016/0360-3016(87)91222-3.

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Kamel, Dalia O., Nadia A. Wahba, and Dalia M. Talaat. "Comparison between Positive Dental Images and Neutral Images in Managing Anticipatory Anxiety of Children." Journal of Clinical Pediatric Dentistry 41, no. 2 (January 1, 2017): 116–19. http://dx.doi.org/10.17796/1053-4628-41.2.116.

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Objective: To evaluate the impact of positive images versus neutral images on child behavior during dental treatment and their dental anxiety after dental treatment. Study design: Sixty, 4 to 6 year old healthy pediatric dental patients, indicated for pulpotomy and stainless steel crown restorations, were divided randomly into two equal groups. Group I (experimental group viewed positive dental images and group II (control group) viewed neutral cartoon images prior to treatment. Behavior was assessed using Frankl rating scale in all four treatment phases: seating, local anesthesia administration, pulpotomy and overall rating. Patient's anxiety was determined according to Venham Picture Test (VPT) before and after dental procedure. Results: Behavior rating using the Frankl scale showed a statistically significant difference in the two groups in the overall rating (P= 0.003, 0.001 respectively). No statistically significant difference was found between both groups in any of the treatment phases (P= 0.288, 0.060, 0.719 respectively) and between the mean VPT scores before and after procedures (P=0.95, 0.93 respectively. Conclusion: Viewing neutral or positive dental images did not have an effect on child's anticipatory anxiety level. However, it is an effective method of improving the behavior in children.

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Kaba, Djibril, Nigel McFarlane, Feng Dong, Norbert Graf, and Xujiong Ye. "NEPHROBLASTOMA ANALYSIS IN MRI IMAGES." Image Analysis & Stereology 38, no. 2 (July 18, 2019): 173. http://dx.doi.org/10.5566/ias.2000.

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The annotation of the tumour from medical scans is a crucial step in nephroblastoma treatment. Therefore, an accurate and reliable segmentation method is needed to facilitate the evaluation and the treatments of the tumour. The proposed method serves this purpose by performing the segmentation of nephroblastoma in MRI scans. The segmentation is performed by adapting and a 2D free hand drawing tool to select a region of interest in the scan slices. Results from 24 patients show a mean root-mean-square error of 0.0481 ± 0.0309, an average Dice coefficient of 0.9060 ± 0.0549 and an average accuracy of 99.59% ± 0.0039. Thus the proposed method demonstrated an effective agreement with manual annotations.

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Hinz, Lisa D. "The Life Cycle of Images: Revisiting the Ethical Treatment of the Art Therapy Image." Art Therapy 30, no. 1 (January 2013): 46–49. http://dx.doi.org/10.1080/07421656.2013.757757.

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Pieczywek, Piotr M., Justyna Cybulska, Barbara Dyki, Dorota Konopacka, Monika Mieszczakowska-Frąc, and Artur Zdunek. "New image analysis method for the estimation of global and spatial changes in fruit microstructure." International Agrophysics 30, no. 2 (April 1, 2016): 219–29. http://dx.doi.org/10.1515/intag-2015-0073.

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Abstract A new image analysis method for the spatial characterization of microscopy images of fruit microstructure is proposed in order to analyse the heterogeneous microstructure of unprocessed fruit and the possible inhomogeneous effects of various technological treatments on this microstructure. The micro-structure of tissue samples was characterized using the global statistics of size and shape parameters calculated for all visible objects. Global analysis was supported by a novel algorithm that allowed for drawing of the maps of the cell wall fraction from microscopy images and for the analysis of both global and local compaction or loosening of tissue. The spatial distribution of the cell wall fraction was visualised in the convenient form of bivariate histograms. To test the developed image analysis protocols, structural changes resulting from ultrasonic and osmotic treatments of apple tissue samples were studied. Peeled and cored apples were submersed in a liquid medium (distilled water or 60 °Bx sucrose solution) for 45 and 90 min with and without ultrasonic treatment. After these treatment procedures, tissue samples were cut into slices, stained and imaged using a microscope. The proposed method allowed to characterise the effects of different sample treatments.

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Tran, Tien Van, Cat Ngoc Phuong Phan, Linh Quang Huynh, Quynh Ngoc Nguyen, and Hieu Trung Nguyen. "Image processing for cervical pathology diagnosis using cervix’s polarized images." Science and Technology Development Journal 20, K3 (June 30, 2017): 31–37. http://dx.doi.org/10.32508/stdj.v20ik3.1086.

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Cervical pathologies are frequently occuring diseases and may affect women’s quality of life in many ways. These pathologies are curable with early detection and with a following suitable treatment plans. Colposcopy is a standard examination among screening methods which are used to early detect the abnormal lesions on cervix’s surface. Recently, studies about processing polarized image show ability to support diagnosis of the cervix. In this research, we use cervix’s polarized images and image processing algorithms to segment the blood distribution of Nabothian cyst and Trichomonas vaginalis infection. These results have the potential to provide underlying information of the cervix to support the diagnosis.

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Thongsuk, Warit, Imjai Chitapanarux, Somsak Wanwilairat, and Wannapha Nobnop. "Dose accumulation with deformable image registration method using helical tomotherapy images for prostate cancer." Journal of Radiotherapy in Practice 19, no. 1 (June 6, 2019): 25–29. http://dx.doi.org/10.1017/s1460396919000256.

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AbstractPurpose:To evaluate changes of accumulated doses from an initial plan in each fraction by deformable image registration (DIR) with daily megavoltage computed tomography (MVCT) images from helical tomotherapy for prostate cancer patients.Materials and methods:The MVCT images of five prostate cancer patients were acquired by using a helical tomotherapy unit before the daily treatment fraction began. All images data were exported to DIR procedures by MIM software, in which the planned kilovoltage computed tomography (kVCT) images were acting as the source images with the daily MVCT acquired as the target images for registration. The automatic deformed structure was used to access the volume variation and daily dose accumulation to each structure. All dose-volume parameters were compared to the initial planned dose.Results:The actual median doses of the planning target volume (PTV) received 70 Gy and 50.4 Gy were decreased at the end of the treatment with an average 1·0 ± 0·67% and 2·1 ± 1·54%, respectively. As regards organs at risk (OARs), the bladder and rectum dose-volume parameters tended to increase from the initial plan. The high-dose regions of the bladder and rectum, however, were decreased from the initial plan at the end of the treatment.Conclusions:The daily actual dose differs from the initial planned dose. The accumulated dose of target tends to be lower than the initial plan, but tends to be higher than the initial plan for the OARs. Therefore, inter-fractional anatomic changes should be considered by the DIR methods, which would be useful as clinically informative and beneficial for adaptive treatment strategies.

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Nikulshina, Ya O., A. N. Redkin, A. V. Kolpakov, and M. A. Zakharov. "Radiomic Study for Objectification of Diagnostics and Complex Treatment of Glioblastoma." Creative surgery and oncology 12, no. 3 (October 25, 2022): 237–43. http://dx.doi.org/10.24060/2076-3093-2022-12-3-237-243.

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Introduction. Glioblastoma is a neuroepithelial malignant brain tumour of predominantly astrocytic origin with an aggressive course and an extremely unfavorable prognosis. Since the median of overall survival with glioblastoma is 14.6 months after complex treatment that includes a combination of surgical treatment, radiation therapy and chemotherapy, the development a personalized approach in the diagnosis and treatment of glioblastomas is appeared to be urgent.Materials and methods. MRIs of a patient undergoing chemoradiotherapy for glioblastoma G4 were performed on the following MRI scanners: Philips Ingenia 1.5T and Philips Ingenia Ambient 1.5T. The analysis of MR-images was carried out using the Matlab 2021 apps.Results and discussion. MR-images were analyzed before and after surgery, and after a course of chemoradiotherapy. The statistical characteristics of the local brightness distribution of the lesion image, which are described by statistical texture parameters, were analyzed as informative features of the lesion area on the images. Initial confirmation of the ability to objectify diagnosis and treatment using the above statistical parameters of T2 MR images of lesion area has been obtained.Conclusion. The aim of further research in this area is to use radiomic study for planning and monitoring the treatment of high-grade gliomas, estimate disease outcomes, and analyze the response to complex treatments in a predictive way.

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ODERO, D. O., J. R. HARTLEY, and D. S. SHIMM. "POSITRON EMISSION TOMOGRAPHY AND RADIATION THERAPY COMPUTERIZED TREATMENT PLANNING SYSTEMS." Journal of Mechanics in Medicine and Biology 08, no. 02 (June 2008): 235–50. http://dx.doi.org/10.1142/s0219519408002619.

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Imaging devices aid clinicians in disease staging and treatment planning procedures for cancer patients. In this technical report, the basic physics of positron emission tomography (PET) are briefly discussed. The integration of PET images into radiation therapy computerized treatment planning systems (TPS) for PET and computed tomography (CT) image fusion via portable storage media and Web-based PET image manipulation software is described. The PET images were obtained from a mobile dual PET/CT scanner (Discovery ST, GE Medical Systems) located two miles away from our radiation therapy center, and were fused with CT images from an independent stand-alone CT scanner (Siemens Somatom Emotion). Quality assurance for treatment planning PET images as well as radiation safety issues related to PET are also briefly discussed.

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Mao, Weihua, Timothy Rozario, Weiguo Lu, Xuejun Gu, Yulong Yan, Xun Jia, Baran Sumer, and David L. Schwartz. "Online dosimetric evaluation of larynx SBRT: A pilot study to assess the necessity of adaptive replanning." Journal of Applied Clinical Medical Physics 18, no. 1 (December 22, 2016): 157–63. http://dx.doi.org/10.1002/acm2.12019.

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AbstractPurposeWe have initiated a multi‐institutional phase I trial of 5‐fraction stereotactic body radiotherapy (SBRT) for Stage III–IVa laryngeal cancer. We conducted this pilot dosimetric study to confirm potential utility of online adaptive replanning to preserve treatment quality.MethodsWe evaluated ten cases: five patients enrolled onto the current trial and five patients enrolled onto a separate phase I SBRT trial for early‐stage glottic larynx cancer. Baseline SBRT treatment plans were generated per protocol. Daily cone‐beam CT (CBCT) or diagnostic CT images were acquired prior to each treatment fraction. Simulation CT images and target volumes were deformably registered to daily volumetric images, the original SBRT plan was copied to the deformed images and contours, delivered dose distributions were re‐calculated on the deformed CT images. All of these were performed on a commercial treatment planning system. In‐house software was developed to propagate the delivered dose distribution back to reference CT images using the deformation information exported from the treatment planning system. Dosimetric differences were evaluated via dose‐volume histograms.ResultsWe could evaluate dose within 10 minutes in all cases. Prescribed coverage to gross tumor volume (GTV) and clinical target volume (CTV) was uniformly preserved; however, intended prescription dose coverage of planning treatment volume (PTV) was lost in 53% of daily treatments (mean: 93.9%, range: 83.9–97.9%). Maximum bystander point dose limits to arytenoids, parotids, and spinal cord remained respected in all cases, although variances in carotid artery doses were observed in a minority of cases.ConclusionsAlthough GTV and CTV SBRT dose coverage is preserved with in‐room three‐dimensional image guidance, PTV coverage can vary significantly from intended plans and dose to critical structures may exceed tolerances. Online adaptive treatment re‐planning is potentially necessary and clinically applicable to fully preserve treatment quality. Confirmatory trial accrual and analysis remains ongoing.

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Hatt, M., N. Boussion, C. Roux, O. Pradier, and D. Visvikis. "Automatic Segmentation of Functional Images for Radiotherapy Treatment Planning." International Journal of Radiation Oncology*Biology*Physics 72, no. 1 (September 2008): S682. http://dx.doi.org/10.1016/j.ijrobp.2008.06.565.

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Sakurai, Makoto, Tomio Fujioka, and Katsumi Higuchi. "125. Treatment verification using high energy photon beam images." Japanese Journal of Radiological Technology 48, no. 2 (1992): 250. http://dx.doi.org/10.6009/jjrt.kj00003533310.

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Maulaz, Alexandre, Bartlomiej Piechowski-Józwiak, Patrik Michel, and Julien Bogousslavsky. "Selecting Patients for Early Stroke Treatment with Penumbra Images." Cerebrovascular Diseases 20, no. 2 (2005): 19–24. http://dx.doi.org/10.1159/000089353.

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Jain, Jaishree, and Arpit Jain. "Securing E-Healthcare Images Using an Efficient Image Encryption Model." Scientific Programming 2022 (March 8, 2022): 1–11. http://dx.doi.org/10.1155/2022/6438331.

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With the advancements in e-healthcare services, it is possible to provide remote medical services to patients and swifter first aid. Medical images play an essential role in e-healthcare applications for providing quick and better remote diagnosis and treatment to patients. Medical images generally comprise secret details about the patients and are therefore prone to various security threats during their transmission over public networks. Thus, it is required to secure these images prior to their communication over public networks. But due to distinctive properties of medical images, like higher correlation and redundancy among the pixels, and larger size, it is required to design an efficient encryption model to resist against various security threats. In this paper, an efficient encryption model for medical images is proposed. To obtain the secret keys, six-dimensional hyperchaotic map (SDHM) is proposed. Firstly, plain medical image is divided into three channels such as red, green, and blue. Secret keys are used to diffuse these channels. Lastly, encrypted channels are concatenated and final encrypted medical image is obtained. Extensive experiments are drawn by considering the benchmark medical images. Also, comparisons are performed among the proposed SDHM and competitive techniques by considering various performance metrics. Comparative analysis reveals that the proposed SDHM achieves remarkably good performance than the existing encryption models.

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Vasadi, V. M., O. Capatina, and M. Fadgyas Stanculete. "Schizophrenia with obsessive-compulsive suicidal images." European Psychiatry 65, S1 (June 2022): S797—S798. http://dx.doi.org/10.1192/j.eurpsy.2022.2061.

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Introduction Background A 19-year old patient with a history of traumatic childhood events presents herself for suicidal behavior driven by complex auditory hallucinations, self-mutilating behavior, and obsessive-compulsive suicidal images that depicted the patient lying dead on the floor with both wrists cut open. Prior to hospitalization, over the past 10 months, the patient exhibited symptoms of low mood, anhedonia, and an overall decline in school performance which led to a diagnosis of MDD with psychotic symptoms, but treatment with Duloxetine 60mg and Olanzapine 10mg proved to be inefficient. Objectives Case Presentation Upon admission the patient’s mimic and behavior did not support the described sadness, she presented a circumstantial discourse with frequent thought blockages and delusions. Associated the patient also described hypervigilance and avoidance behavior towards men, flashbacks, vivid nightmares, and obsessive-compulsive self-mutilating impulses and images. Methods Initially, treatment was started with Olanzapine 20mg, which was augmented two months later with Sertraline 50mg and Bromazepam 3mg. This treatment led to an incomplete resolution of the obsessive symptoms, which led to the increase of Sertraline at 100mg, but at her 1-month check-up evaluation, she presented increased suicidal ideation and daily obsessive-compulsive images. Results The patient was lastly diagnosed with schizophrenia, and due to the persistence of the suicidal ideations and delusions and the obsessive-compulsive symptoms, the treatment plan was revised. Conclusions Improvement of symptoms appeared under treatment with 300mg Clozapine and 50mg Fluvoxamine. In total the patient needed 98 days of hospitalization and lasting remission of symptoms appeared only under treatment with Clozapine and Fluvoxamine. Disclosure No significant relationships.

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