公开(公告)号：US08699817B2

公开(公告)日：2014-04-15

申请号：US13245003

申请日：2011-09-26

申请人： Jingdan Zhang ,  Moritz Michael Knorr ,  Guozhen Li ,  Shaohua Kevin Zhou ,  El Mahjoub Rasselkorde ,  Waheed A. Abbasi ,  Michael J. Metala

发明人： Jingdan Zhang ,  Moritz Michael Knorr ,  Guozhen Li ,  Shaohua Kevin Zhou ,  El Mahjoub Rasselkorde ,  Waheed A. Abbasi ,  Michael J. Metala

IPC分类号： G06K9/36

CPC分类号： G06T17/00

摘要： An image reconstruction method includes receiving volume data comprising a plurality of sampling points, determining a first conditioning of the sampling points suppressing low amplitudes and conserving maximum amplitudes, determining a second conditioning of the sampling points wherein an influence of a sampling point depends on its distance to a grid point in a sampling grid, determining a kernel comprising a plurality of weighting functions for the first conditioning and the second conditioning to determine an energy spread of each of the plurality of sampling points without determining a shape or size of the kernel, and outputting a reconstructed volume according to the energy spread of each of the plurality of sampling points.

摘要翻译： 图像重建方法包括：接收包含多个采样点的音量数据，确定抑制低振幅的采样点和节省最大振幅的第一调节，确定采样点的影响取决于其距离的采样点的第二调节 到采样网格中的网格点，确定包含用于所述第一调节的多个加权函数的内核和所述第二调节，以确定所述多个采样点中的每一个的能量扩展，而不确定所述内核的形状或大小，以及 根据所述多个采样点中的每一个的能量扩展输出重构的音量。

公开(公告)号：US20120128266A1

公开(公告)日：2012-05-24

申请号：US13245003

申请日：2011-09-26

申请人： Jingdan Zhang ,  Moritz Michael Knorr ,  Guozhen Li ,  Shaohua Kevin Zhou ,  El Mahjoub Rasselkorde ,  Waheed A. Abbasi ,  Michael J. Metala

发明人： Jingdan Zhang ,  Moritz Michael Knorr ,  Guozhen Li ,  Shaohua Kevin Zhou ,  El Mahjoub Rasselkorde ,  Waheed A. Abbasi ,  Michael J. Metala

IPC分类号： G06K9/36

CPC分类号： G06T17/00

摘要： An image reconstruction method includes receiving volume data comprising a plurality of sampling points, determining a first conditioning of the sampling points suppressing low amplitudes and conserving maximum amplitudes, determining a second conditioning of the sampling points wherein an influence of a sampling point depends on its distance to a grid point in a sampling grid, determining a kernel comprising a plurality of weighting functions for the first conditioning and the second conditioning to determine an energy spread of each of the plurality of sampling points without determining a shape or size of the kernel, and outputting a reconstructed volume according to the energy spread of each of the plurality of sampling points.

摘要翻译： 图像重建方法包括：接收包含多个采样点的音量数据，确定抑制低振幅的采样点和节省最大振幅的第一调节，确定采样点的影响取决于其距离的采样点的第二调节 到采样网格中的网格点，确定包含用于所述第一调节的多个加权函数的内核和所述第二调节，以确定所述多个采样点中的每一个的能量扩展，而不确定所述内核的形状或大小，以及 根据所述多个采样点中的每一个的能量扩展输出重构的音量。