4D Modeling and Estimation of Respiratory Motion for by Paul Keall, Tokihiro Yamamoto, Yelin Suh (auth.), Jan

April 3, 2017 | Therapy | By admin | 0 Comments

By Paul Keall, Tokihiro Yamamoto, Yelin Suh (auth.), Jan Ehrhardt, Cristian Lorenz (eds.)

Respiratory movement motives a huge uncertainty in radiotherapy making plans of the thorax and higher stomach. the most target of radiation treatment is to remove or decrease tumor cells with out harmful the encircling tissue through providing a excessive radiation dose to the tumor area and a dose as little as attainable to fit organ tissues. assembly this call for continues to be a problem specifically in case of lung tumors as a result of breathing-induced tumor and organ movement the place movement amplitudes can degree as much as numerous centimeters. as a result, modeling of breathing movement has turn into more and more very important in radiation treatment. With 4D imaging concepts spatiotemporal photograph sequences should be got to enquire dynamic methods within the patient’s physique. additionally, snapshot registration allows the estimation of the breathing-induced movement and the outline of the temporal switch in place and form of the buildings of curiosity by means of constructing the correspondence among photographs obtained at assorted levels of the respiring cycle. In radiation treatment those movement estimations are used to outline exact therapy margins, e.g. to calculate dose distributions and to enhance prediction types for gated or robot radiotherapy. during this publication, the expanding position of photograph registration and movement estimation algorithms for the translation of advanced 4D scientific snapshot sequences is illustrated. diversified 4D CT picture acquisition recommendations and conceptually diverse movement estimation algorithms are provided. The medical relevance is confirmed through instance functions that are concerning the radiation remedy of thoracic and belly tumors. The cutting-edge and views are proven through an perception into the present box of analysis. The e-book is addressed to biomedical engineers, clinical physicists, researchers and physicians operating within the fields of clinical photograph research, radiology and radiation therapy.

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Extra info for 4D Modeling and Estimation of Respiratory Motion for Radiation Therapy

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The FOV with HSR is typically less than 25 cm only to cover the heart. The FOV for radiation therapy simulation is at least 50 cm. Since FSR uses more data in the image reconstruction than HSR, its image will also be less noisy. One very important observation of the pitch value selection is that the longer the breath cycle Tb or the shorter the gantry rotation cycle Tg is, the smaller the pitch factor p becomes. In diagnostic CT imaging with patient breath-hold and without gating, p is about 1, which is 10 times faster than in a helical 4D CT scan with respiratory gating!

6 (a) Helical 4D CT needs the respiratory signal to direct its image reconstruction. (b) Cine 4D CT does not need the respiratory signal for image reconstruction. The 4D CT images are generated on the basis of correlation between the cine CT images and the respiratory signal. The specific phases of the breathing cycle can only be approximated in the 4D CT images. In general, cine 4D CT generates 4D CT images more quickly than helical 4D CT (b). This step of ensuring accurate identification of end-inspiration phases is critical and should be checked in every 4D CT data processing.

Phys. 59(4), 952–959 (2004) 60. : Respiratory motion changes of lung tumors over the course of radiation therapy based on respiration-correlated four-dimensional computed tomography scans. Int. J. Radiat. Oncol. Biol. Phys. 75(5), 1605– 1612 (2009) 61. : Registrationbased estimates of local lung tissue expansion compared to xenon CT measures of specific ventilation. Med. Image Anal. 12(6), 752–763 (2008) 62. : Improving retrospective sorting of 4D computed tomography data. Med. Phys. 33(2), 377–379 (2006) 63.

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