pydicom.dataset.Dataset 是什么格式
时间: 2024-06-04 19:10:01 浏览: 24
pydicom.dataset.Dataset 是一个 Python 包中的类,用于表示医学图像数据中的 DICOM 数据集。DICOM(Digital Imaging and Communications in Medicine)是一种医学图像和相关信息的标准,用于存储、传输和处理医学图像数据。pydicom 是一个 Python 包,提供了解析和处理 DICOM 数据的工具。pydicom.dataset.Dataset 类包含了 DICOM 数据集中的所有元素(例如图像像素数据、患者信息、设备信息等),可以使用该类对 DICOM 数据集进行读取、操作和写入。
相关问题
将pydicom.dataset.Dataset 格式的文件保存为dcmwenjian
你可以使用pydicom库中的FileDataset.save_as()方法将pydicom.dataset.Dataset格式的文件保存为dcm文件。具体代码如下:
```python
import pydicom
# 读取dcm文件
ds = pydicom.dcmread('your_file.dcm')
# 将Dataset格式文件保存为dcm文件
ds.save_as('your_new_file.dcm')
```
其中,'your_file.dcm'是你要读取的dcm文件的路径,'your_new_file.dcm'是你要保存的新的dcm文件的路径。注意,保存的新文件必须以'.dcm'为后缀名。
dcmSOPs = findSOPs(path) paths = list(map(str,path.split("\\"))) patient = paths[-2] time = paths[-1] rvFile = path+'\\RS.{}'.format(patient)+'.CT_1.dcm'.format(time) ds = pydicom.dcmread(rvFile) contours = ds.ROIContourSequence dcmFile = path+'\\CT.{}'.format(patient)+'.Image {}.dcm'.format(str(int(1))) ds = pydicom.dcmread(dcmFile) dcmOrigin = ds.ImagePositionPatient dcmSpacing = ds.PixelSpacing numberOfContours = len(contours[labelID].ContourSequence) print("time",time,": numberOfContourPts=",numberOfContours) cuts = [] 按行解释这段代码
Sure, here is an explanation of the provided code snippet:
1. `dcmSOPs = findSOPs(path)` - This line is calling a function `findSOPs` that presumably returns a list of DICOM file paths in the given `path` directory.
2. `paths = list(map(str,path.split("\\")))` - This line is splitting the `path` string using the backslash as a separator and then converting each element to a string and storing them in a list called `paths`.
3. `patient = paths[-2]` - This line is extracting the second last element from the `paths` list and storing it in a variable called `patient`.
4. `time = paths[-1]` - This line is extracting the last element from the `paths` list and storing it in a variable called `time`.
5. `rvFile = path+'\\RS.{}'.format(patient)+'.CT_1.dcm'.format(time)` - This line is creating a file path for a DICOM file with the name `RS.<patient>.CT_1.dcm` in the given `path` directory.
6. `ds = pydicom.dcmread(rvFile)` - This line is reading the DICOM file at the `rvFile` path using the `pydicom` library and storing it in a `Dataset` object called `ds`.
7. `contours = ds.ROIContourSequence` - This line is extracting the contour sequence from the `ds` dataset and storing it in a variable called `contours`.
8. `dcmFile = path+'\\CT.{}'.format(patient)+'.Image {}.dcm'.format(str(int(1)))` - This line is creating a file path for a DICOM file with the name `CT.<patient>.Image 1.dcm` in the given `path` directory.
9. `ds = pydicom.dcmread(dcmFile)` - This line is reading the DICOM file at the `dcmFile` path using the `pydicom` library and storing it in a `Dataset` object called `ds`.
10. `dcmOrigin = ds.ImagePositionPatient` - This line is extracting the image position patient from the `ds` dataset and storing it in a variable called `dcmOrigin`.
11. `dcmSpacing = ds.PixelSpacing` - This line is extracting the pixel spacing from the `ds` dataset and storing it in a variable called `dcmSpacing`.
12. `numberOfContours = len(contours[labelID].ContourSequence)` - This line is calculating the number of contour points for the `labelID`-th contour sequence in `contours` and storing it in a variable called `numberOfContours`.
13. `print("time",time,": numberOfContourPts=",numberOfContours)` - This line is printing the `time` and `numberOfContours` values to the console.
14. `cuts = []` - This line is initializing an empty list called `cuts`.
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