Abstract: An image processing apparatus according to an embodiment includes processing circuitry. The processing circuitry recognizes at least one of chest wall, vessels, nodules, and tumors by increasing sensitivity to a gradient and a sensitivity to a cavity structure in three-dimensional data including a lung area. The processing circuitry generates lung image data corresponding to the lung area by performing a data removing process for removing data derived from the chest wall and a data holding process for holding data derived from at least one of the vessels, the nodules, and the tumors on a basis of a result obtained by the recognizing. The processing circuitry outputs the lung image data.

Abstract: An image processing apparatus according to an embodiment includes processing circuitry. The processing circuitry recognizes at least one of chest wall, vessels, nodules, and tumors by increasing sensitivity to a gradient and a sensitivity to a cavity structure in three-dimensional data including a lung area. The processing circuitry generates a data removing process for removing data derived from the chest wall and a data holding process for holding data derived from at least one of the vessels, the nodules, and the tumors on a basis of a result obtained by the recognizing. The processing circuitry outputs the lung image data.

Abstract: An image processing apparatus according to an embodiment includes an input extraction unit, and a parameter estimation unit. The input extraction unit configured to extract, from time sequence images of medical images obtained by performing a blood perfusion imaging scan on a tissue, a region where a main vessel supplying blood input to the tissue is located as an input part and obtain, based on the input part, a time-density sequence of the blood input as an input time sequence. The parameter estimation unit configured to estimate parameters in a model representing the change of the blood flow at each point in the tissue with the input time sequence, based on the input time sequence, the model and the time sequence images, wherein the parameters include a delay undergone by the blood when flowing from the input part to each point in the tissue.

Abstract: An image processing apparatus according to an embodiment includes an input extraction unit, and a parameter estimation unit. The input extraction unit configured to extract, from time sequence images of medical images obtained by performing a blood perfusion imaging scan on a tissue, a region where a main vessel supplying blood input to the tissue is located as an input part and obtain, based on the input part, a time-density sequence of the blood input as an input time sequence. The parameter estimation unit configured to estimate parameters in a model representing the change of the blood flow at each point in the tissue with the input time sequence, based on the input time sequence, the model and the time sequence images, wherein the parameters include a delay undergone by the blood when flowing from the input part to each point in the tissue.

Abstract: A coating method for coating an enclosure is disclosed. A masking material and a coating material are applied to a flange of the enclosure. The masking material does not absorb the coating material.