def get_points_left(ds):
img = dicom_utils.transformToHu(ds, ds.pixel_array)
if type(ds.WindowWidth) == pydicom.multival.MultiValue:
windowWidth = ds.WindowWidth[0]
else:
windowWidth = ds.WindowWidth
if type(ds.WindowCenter) == pydicom.multival.MultiValue:
windowCenter = ds.WindowCenter[0]
else:
windowCenter = ds.WindowCenter
th_img = image_processing.thresholdCTImage(img, windowCenter, windowWidth)
alt_th = image_processing.thresholdAlternative(img, windowCenter,
windowWidth)
alt_th = alt_th.astype(np.uint8)
roi_img2 = image_processing.getROI(alt_th)
roi_img2 = roi_img2.astype(np.uint8)
roi_img = image_processing.getROI(th_img)
flood_full = roi_img | roi_img2
flood_full = flood_full.astype(np.uint8)
kernel = np.ones((3, 2))
flood_full = cv2.morphologyEx(flood_full, cv2.MORPH_CLOSE, kernel)
_, throclea_points = interesting_points.getDeepestPointTrochlea(
roi_img2, "left")
rotated_img, angle = image_processing.rotateFemur(roi_img2, "left")
_, (extBot, extBot2) = interesting_points.getPointsFemur(
rotated_img,
roi_img2,
-angle,
)
return extBot, extBot2, throclea_points
def get_point_tibia_right(ds):
if type(ds.WindowWidth) == pydicom.multival.MultiValue:
windowWidth = ds.WindowWidth[0]
else:
windowWidth = ds.WindowWidth
if type(ds.WindowCenter) == pydicom.multival.MultiValue:
windowCenter = ds.WindowCenter[0]
else:
windowCenter = ds.WindowCenter
img_tibia = dicom_utils.transformToHu(ds, ds.pixel_array)
img_tibia_norm = dicom_utils.normalizeImage255(img_tibia, windowCenter,
windowWidth)
th_img = image_processing.thresholdAlternative(img_tibia, windowCenter,
windowWidth)
left_image = image_processing.getROI2(th_img)
left_image = left_image.astype(np.uint8)
rotated_img, angle = image_processing.rotateFemur(left_image, "right")
contours, _ = cv2.findContours(rotated_img, cv2.RETR_LIST,
cv2.CHAIN_APPROX_SIMPLE)
sorted_contours = sorted(contours, key=cv2.contourArea, reverse=True)
north_west = tuple(sorted_contours[0][sorted_contours[0][:, :,
1].argmin()][0])
transform_points = np.array([[[north_west[0], north_west[1]]]])
h, w = rotated_img.shape[:2]
center = (w // 2, h // 2)
M = cv2.getRotationMatrix2D(center, angle, 1.0)
tf2 = cv2.transform(transform_points, M)
points = [north_west[0], north_west[1]]
return tf2[0][0]
def __init__(self, dcmfile):
ds = pydicom.dcmread(dcmfile)
self.originalImage = ds.pixel_array
if type(ds.WindowCenter) == pydicom.multival.MultiValue:
self.WindowCenter = ds.WindowCenter[0]
else:
self.WindowCenter = ds.WindowCenter
if type(ds.WindowWidth) == pydicom.multival.MultiValue:
self.WindowWidth = ds.WindowWidth[0]
else:
self.WindowWidth = ds.WindowWidth
self.PixelSpacing = ds.PixelSpacing
self.RescaleSlope = ds.RescaleSlope
self.RescaleIntercept = ds.RescaleIntercept
self.huImage = dicom_utils.transformToHu(ds, ds.pixel_array)
self.contourImage = image_processing.thresholdAlternative(self.huImage, self.WindowCenter, self.WindowWidth)
def get_points_rotula_right(ds):
if type(ds.WindowWidth) == pydicom.multival.MultiValue:
windowWidth = ds.WindowWidth[0]
else:
windowWidth = ds.WindowWidth
if type(ds.WindowCenter) == pydicom.multival.MultiValue:
windowCenter = ds.WindowCenter[0]
else:
windowCenter = ds.WindowCenter
img = dicom_utils.transformToHu(ds, ds.pixel_array)
alt_th = image_processing.thresholdAlternative(img, windowCenter,
windowWidth)
alt_th = alt_th.astype(np.uint8)
roi_img2 = image_processing.getROI2(alt_th)
roi_img2 = roi_img2.astype(np.uint8)
points1, points2 = interesting_points.getPointsRotula(roi_img2)
return points1, points2
def get_points_right(ds):
img = dicom_utils.transformToHu(ds, ds.pixel_array)
if type(ds.WindowWidth) == pydicom.multival.MultiValue:
windowWidth = ds.WindowWidth[0]
else:
windowWidth = ds.WindowWidth
if type(ds.WindowCenter) == pydicom.multival.MultiValue:
windowCenter = ds.WindowCenter[0]
else:
windowCenter = ds.WindowCenter
th_img = image_processing.thresholdCTImage(img, windowCenter, windowWidth)
alt_th = image_processing.thresholdAlternative(img, windowCenter,
windowWidth)
roi_img2 = image_processing.getROI2(alt_th)
roi_img2 = roi_img2.astype(np.uint8)
tr_im, throclea_points = interesting_points.getDeepestPointTrochlea(
roi_img2)
roi_img = image_processing.getROI2(th_img)
rotated_img, angle = image_processing.rotateFemur(roi_img2, "right")
_, (extBot,
extBot2) = interesting_points.getPointsFemur(rotated_img, roi_img2,
-angle)
return extBot, extBot2, throclea_points